Tag: IoT

What is an IoT Camera? Explaining Applications, Use Cases, and Points to Consider When Implementing
IoT cameras are devices that combine traditional cameras with internet communication capabilities, enabling remote monitoring and operation from distant locations. Their use is expanding across various fields, including security, watching over people, and remote surveillance.
This article provides a detailed explanation of the basic mechanisms and features of IoT cameras, specific use cases, and points to consider when implementing them.

What is an IoT Camera?
An IoT camera is a camera that can connect to the internet. IoT stands for “Internet of Things,” referring to technology that embeds internet communication capabilities into physical objects, enabling remote monitoring and operation.
Beyond cameras, IoT technology is widely integrated into smartphones, smart home appliances, wearable devices, sensors, and more, with its use advancing in every aspect of our lives and industries. Environments designed with the use of IoT devices in mind, such as smart factories and smart cities, are also becoming increasingly common.
Compared to conventional cameras, IoT cameras allow users to view footage remotely via the internet and save video directly to cloud servers.
Primary applications for IoT cameras include surveillance with security cameras, remote monitoring of construction sites and warehouses, tracking crop growth conditions, and marketing through customer flow analysis in retail stores. By enabling real-time situation awareness from remote locations, IoT cameras contribute to improving efficiency and solving problems across various operations.

Applications and Use Cases of IoT Cameras
IoT cameras are being used for diverse purposes across a wide range of fields. Let’s explore specific use cases in detail.
Construction Sites
At construction and building sites, IoT cameras are utilized for remote monitoring. Cameras installed at various locations around the site and material storage areas allow headquarters or other remote locations to view site conditions in real time. This enables centralized management of multiple sites and facilitates early detection of anomalies with prompt response.
IoT cameras also contribute to improving safety and quality management on-site. By enabling detailed monitoring of worker movements and equipment operation, they help deter dangerous behavior and prevent accidents. Furthermore, when combined with AI-powered image analysis, automated process monitoring and quality inspection become possible. IoT cameras are indispensable tools for advancing digital transformation (DX) in the construction industry.
Logistics and Warehousing
The use of IoT cameras is also advancing in logistics and warehouse operations. They help remotely check the storage status of goods within warehouses and provide real-time visibility into picking and sorting activities.
Compared to conventional cameras, IoT cameras offer the advantage of facilitating centralized management across vast warehouse spaces. Additionally, AI analysis of video enables more advanced applications such as detecting damaged or missing items, improving operations through worker movement analysis, and integrating with automated equipment. IoT cameras represent one of the key foundational technologies supporting the smartification of logistics.
Restaurants
The adoption of IoT cameras is also increasing in restaurants. They can be used to monitor cooking conditions via cameras in kitchens and assess seating occupancy through cameras in dining areas.
When combined with AI, IoT cameras can collect valuable marketing data, including counting visitors, analyzing customer demographics, and predicting busy periods. They can also be used to analyze employee service interactions to improve quality. In the restaurant industry, which faces challenges such as labor shortages and the need for operational efficiency, IoT cameras are powerful tools for improving store management.
Agriculture and Fisheries
Use cases for IoT cameras are also growing in agriculture and fisheries. In agriculture, for instance, they monitor fields and paddies remotely. They help with fixed-point observation of crop growth and early detection of damage caused by birds and wildlife.
In aquaculture, IoT cameras are used to monitor fish within pens. Even from remote locations, operators can check fish swimming activity and the presence of dead fish, enabling early detection and response to abnormalities.
When IoT cameras are integrated with AI, automated tasks such as determining optimal harvest timing and managing fish growth become feasible. In primary industries facing severe labor shortages, IoT cameras are valuable tools that significantly contribute to labor savings and productivity improvements.
Disaster Prevention
IoT cameras are increasingly used in disaster prevention, helping assess conditions such as flooded or submerged roads. This enables accurate information dissemination to local residents and reduces risks associated with patrol duties for municipal employees. Furthermore, the ability to instantly detect anomalies in rivers and waterways is crucial for rapid response during disasters.
Compared to conventional cameras, IoT cameras transmit data through constantly connected networks, enabling real-time monitoring. By integrating with sensors to collect environmental data and performing advanced image analysis, they provide more accurate information.
The use of IoT cameras in disaster prevention solutions not only improves response during emergencies but also serves a preventive function. Through regular data analysis, they are used as part of hazard prediction and warning systems, allowing for proactive identification of potential disaster risks and enabling countermeasures.
Security
Security is one of the representative application fields for IoT cameras. Installed on residential or facility premises, they help detect intruders and suspicious objects and deter crime.
Because IoT cameras are connected to the internet, footage can be viewed remotely in real time. This reduces the need for security guard patrols and enables rapid response when anomalies occur.
AI-powered image analysis enables more advanced security measures, including automatic detection of suspicious individuals or objects and recognition of specific people. Installing security cameras is known to have a significant crime-deterrent effect, and the spread of IoT cameras is expected to further enhance this impact.
Ecological Surveys and Research
IoT cameras are also used in biological surveys and research. Combining IoT cameras with eye-tracking technology enables more detailed biological investigations and studies.
Eye-tracking technology tracks human gaze to analyze which information a person is viewing. Using specialized cameras and sensors, it measures pupil position and movement, allowing for detailed analysis of visual attention and cognitive processes. This technology is used for website usability testing, measuring advertising effectiveness, and in research fields such as psychology and studies on human behavior and decision-making.
Transportation
IoT cameras play a crucial role in the transportation sector as well. In building smart highways, they visualize traffic congestion in real time, contributing to traffic flow optimization.
Compared to conventional cameras, IoT cameras are equipped with advanced communication capabilities, allowing them to instantly analyze collected data and provide feedback to traffic control systems. This enables accident prevention and rapid incident response.
On smart highways, information obtained through IoT cameras is used to provide drivers with information and support autonomous vehicles, creating safer and more efficient road environments.

Points to Consider When Implementing IoT Cameras
While IoT cameras are valuable tools applicable across various fields, their implementation requires careful consideration and preparation. Here are key points to keep in mind.
To successfully utilize IoT cameras, it is crucial to clearly define your objectives before implementation and select products and design systems accordingly.
Clearly Define the Purpose of Implementation
Before introducing IoT cameras, it is important to first clarify the purpose. Vague reasons like “a camera might be convenient” are unlikely to yield sufficient benefits.
Consider specific applications: Will it be used for surveillance and monitoring, operational efficiency, or marketing? Set achievable goals based on these applications. Then, select products with the necessary functions and performance. Clarifying the purpose enables appropriate system design and cost control.
Verify That the Benefits Justify the Implementation and Operational Costs
Implementing IoT cameras involves not only initial equipment procurement costs but also ongoing communication and management costs. It is essential to assess the total cost and carefully evaluate whether the benefits justify the investment.
The number of cameras, recording frequency, and data retention period should be designed appropriately based on the purpose. Excessive performance or optional features can drive up costs. Also, considering long-term operation, maintenance and equipment replacement cycles need attention. Thoroughly examining cost-effectiveness and aiming for an optimal system configuration is important.
Check for Any Security Issues
As IoT cameras are connected to the internet, they are exposed to cyberattack risks. Unauthorized access could lead to video data leaks or cameras being hijacked and used as launch points for further attacks.
To prepare for such risks, adequate security measures are essential. A multi-layered defense strategy is necessary, including strict password management, regular firmware updates, and adoption of encrypted communication. Particularly when handling personal information, careful attention to privacy protection is required. It is important to establish a clear security policy and ensure a high level of security across the entire system.
Confirm That a Stable Network Environment Can Be Ensured
IoT cameras transmit and receive high-quality video in real time, generating large data volumes. To guarantee stable operation, a commensurate network environment is essential.
While wired LAN is often preferable, mobile communication may be considered in outdoor locations or where cabling is difficult. However, this may introduce challenges regarding communication stability and cost.
It is necessary to survey radio wave conditions at the planned installation site beforehand and consider measures such as preparing dedicated wireless equipment if needed. Network redundancy and securing backup lines are also points to consider. Carefully designing the infrastructure to support stable IoT camera operation is crucial.
Confirm That Power Can Be Secured During Emergencies
For IoT cameras primarily used for surveillance during emergencies, such as in security or disaster prevention, measures against power outages are particularly important. If the system stops functioning as soon as power is cut, it becomes useless when most needed.
Securing backup power sources, such as batteries or generators, is essential. Sufficient capacity is required to withstand extended power outages. Additionally, prior operational testing and regular maintenance are necessary. A highly reliable power supply design, based on potential emergency scenarios, is required.
IoT cameras are technologies that truly demonstrate their value only when infrastructure aspects, including power supply, are adequately prepared. It is important to carefully confirm and consider these points during implementation.
Verify That Minimum Privacy Standards Are Protected
As the utilization of camera images advances with the spread of IoT, concerns about privacy violations are also growing.
When installing and operating cameras, care must be taken not to inadvertently violate privacy, infringe upon the Act on the Protection of Personal Information, or violate portrait rights. For specific considerations, please refer to the “Camera Image Utilization Guidebook” published by the Ministry of Economy, Trade and Industry and the Ministry of Internal Affairs and Communications. Aim for healthy use of camera images based on mutual understanding and trust between consumers and businesses.

Conclusion
This article has provided a detailed explanation of the overview, characteristics, use cases, and points to consider when implementing IoT cameras. As technology enabling real-time remote monitoring, IoT cameras are seeing increased adoption across a wide range of fields, including security, watching over people, and operational efficiency.
Implementation examples of IoT cameras are growing in various sectors, such as construction, logistics, agriculture, disaster prevention, and academic research. By leveraging the unique advantages of IoT cameras—such as remote operation, data analysis, and integration with AI—compared to conventional cameras, they can generate unprecedented value.

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March 23, 2026
What are the differences between IT, ICT, and IoT
IT, ICT, IoT… all of these are important words that describe the technology fields that support industry. Even if you have a rough understanding of what these terms mean, it can be difficult to explain the differences between them and how they relate to one another. In this article, we will introduce the meanings and differences between these words.

What is IT?
IT is an abbreviation for “Information Technology” and is a general term for technology that combines and utilizes communications such as the Internet with information devices such as computers.
The Internet began to spread to the general public after the release of Windows 95 in 1995. Between 1999 and 2000, ADSL and other broadband services for general individuals began to spread, mainly in urban areas.
The term “IT revolution” first appeared around 2000. Yoshiro Mori, who was the Prime Minister at the time, mentioned the “e-Strategy” in his policy speech in the Diet, which led to the enactment of the IT Basic Law and related bills. However, during the policy speech, Mori also mispronounced “IT” as “it.” “IT revolution” won the New Words and Buzzwords Award in 2000.
In 2006, the Policy” was launched, inheriting the ideas of the e-Initiative, with the aim of realizing a ubiquitous network society. FTTH using optical fiber also became common, ushering in an era of high-speed communications. In addition, the Ministry of Internal Affairs and Communications renamed its previous “IT Policy Principles” to the “ICT Policy Principles” in 2005. Around this time, the term ICT began to be used instead of IT.

ICT is almost synonymous with IT
ICT is an abbreviation for “Information and Communication Technology.” Overseas, ICT is more commonly used than IT.
Like IT, ICT is a broad term that can refer to not only the internet and computers, but also a wide range of digital technologies, services, and businesses, including smartphones, big data, social media, and smart speakers.
The difference between ICT and IT is that ICT tends to be used more to show how to utilize the Internet and computer-related technologies and to show future visions. Looking at how it is used in government agencies, the Ministry of Internal Affairs and Communications and the Ministry of Education, Culture, Sports, Science and Technology often use ICT, such as in “ICT Growth Strategy,” “ICT Regional Revitalization Award,” and “ICT Education,” while the Ministry of Economy, Trade and Industry often uses IT.

What is IoT?
IoT is an abbreviation for “Internet of Things.” It refers to a mechanism that enables things to be recognized, measured, and controlled remotely by connecting them to the Internet and exchanging information with each other.
Traditionally, the main things that could connect to the Internet were computers and mobile phones. Later, smartphones, game consoles, music players, and televisions also began to connect to the Internet.
As IoT becomes more commonplace in the future, the variety of connected things will explode in number, incomparable to today. Currently, IoT products that are beginning to spread include various electronic devices such as smart speakers, IoT home appliances such as lighting fixtures and air conditioners, and network cameras that can monitor pets while you are away. In addition
, vehicles and transportation such as cars, buses, and trains, sensors and cameras installed in retail stores, medical equipment in hospitals, production equipment and robots installed on production lines in factories, inspection machines in warehouses, agricultural robots and self-driving agricultural machinery that are active in farmland, agricultural drones, wearable devices worn by visitors in theme parks, etc. will be connected to networks and play important roles in various fields.

What is the difference between IoT and IoE?
There are two terms related to IoT.
The first is IoD (Internet of Digital). IoD refers to digital devices that are designed from the beginning to be connected to the Internet. Examples include computers, smartphones, and game consoles. Corporate mission-critical systems and servers are also types of IoD. The
second is IoH (Internet of Human). IoH means that people, like things, are connected to the Internet. In other words, it is a system in which humans communicate with and operate things via computers and digital devices.
And as a higher concept than IoT, IoD, and IoH, there is the term IoE (Internet of Everything), which means “the Internet of everything.”
IoE is the final stage of IoT. It refers to services and businesses that are premised on connecting not only things, but also people, processes, data, places, and everything else to the Internet, as well as the technologies that make this possible.
For example, let’s imagine a smart bed system in the medical field that can monitor the pulse rate, respiratory rate, and sleep/wake state of hospitalized patients. With IoT, it is possible to connect and manage the data obtained from this bed to a nurse call system or an electronic medical record database.
However, in a world where IoE is widespread, the types of data sent from beds will increase and the data connected to them will also become more diverse. This will create an environment in which treatment optimized according to changes in the patient’s condition is automatically performed. If the data obtained there is accumulated, it is expected that treatment methods will eventually evolve to the next stage.
IT, ICT, IoT, and IoE will continue to expand and impact every industry and field. In a few years, new services and business models that are completely different from those of today may be born. By understanding the differences between them and keeping a close eye on their trends, we may be able to see a vision of the future.

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August 2, 2024
Benefits of IoT and use cases by field
What benefits will IoT bring to us, in what fields is it used, and how will it develop in the future? In this article, we will introduce examples of IoT use in different fields.

What is IoT?
IoT is a mechanism that enables things to be recognized, measured, and controlled remotely by connecting them to the Internet and exchanging information. It is an acronym of “Internet of Things” and is often translated as “Internet of Things” in Japanese.
Benefits of IoT
What kind of convenience and usefulness will the widespread use of IoT bring? Let’s take a look at the benefits for users and companies.
1. Improved user convenience
IoT home appliances and smart houses that are already in practical use are accepted by users as convenient products. Representative examples include network cameras and door lock systems that can be remotely controlled from a smartphone while away from home, and air conditioners that automatically adjust to the optimum temperature according to the resident’s preferences, lifestyle rhythm, season, and changes in the outside air temperature.
As IoT becomes more widespread in society, it is thought that the manufacturing industry will become more like a service industry. For example, if a product has a defect, that information will be sent to the manufacturer, so that appropriate measures can be taken immediately.
For users, it is like receiving real-time, almost automated after-sales service or support. It is also possible to imagine a system in which parts are automatically delivered and replenished before consumable parts stop functioning. It will also be possible to realize services that allow users to ask questions about how to use the product through the product and receive advice and suggestions.
2. Corporate efficiency and cost reduction
IoT will enable companies that provide products to accurately grasp consumer needs and optimize supply and demand. Manufacturers in particular will be able to manufacture products that are definitely in demand, rather than just making products based on predictions of what will sell.
Factories that utilize IoT are also becoming more common. By connecting production equipment equipped with sensors to a network, the operating status can be visualized, and an optimized production system can be maintained by analyzing data obtained from production equipment and machines and linking it to a production management system. It is said that factories can achieve thorough efficiency and cost reduction by adopting IoT.
3. Creating business opportunities for companies
By obtaining huge amounts of data through IoT, companies will be able to grasp diverse consumer demands. Utilizing that big data will also create new business opportunities. IoT has already begun to be used in many industries, including the service industry, logistics, medical care, and agriculture, and it is expected that it will give rise to completely new businesses in the future.
Types of IoT and their use cases
There are three types of IoT: IoT that operates things, IoT that knows the state of things, IoT that detects the movement of things, and IoT that communicates between things. Below, we will introduce examples of each. There are also examples of use cases where different IoTs are combined together.
1. IoT examples for controlling objects
IoT allows you to operate cameras, door locks, home appliances, healthcare devices, etc. using a smartphone. You can turn the power on and off, adjust the intensity, and perform other operations. For example, a product that allows you to monitor your pets while you are away using a network camera, talk to them through a speaker, and feed them became a hot topic.
2. IoT examples for knowing the status of things
IoT is a technology that monitors the condition of things and keeps track of them in real time. A typical example would be the wearable devices used in medical settings. Products that issue warning alerts when a patient’s health condition deteriorates, and contact lenses that can manage blood sugar levels have also been developed. In addition to wearable devices, products called “smart beds” that can monitor pulse rate, breathing rate, and sleep/wake states have also appeared.
Additionally, in the agricultural sector, experiments have begun on “smart agriculture,” which uses IoT to monitor the environment inside greenhouses where vegetables and other crops are grown, and remotely controls temperature, air conditioning balance, and watering and fertilizer supply.
3. IoT examples for detecting the movement of objects
This is a type of IoT that detects the movement of objects or people carrying those objects and takes action. For example, a demonstration experiment is being conducted in which multiple IoT sensors are installed in key locations within a shopping facility, and customers’ smartphones and an app that allows them to use coupons are used to analyze their visit status by combining their movements and attributes.
As IoT that detects motion becomes more widespread, systems that send information about sales and other special offers to the smartphones of regular or potential customers when they approach a shopping facility will likely become common.
4. IoT examples of communication between things
There are two types of IoT, which allows things to communicate with each other: IoT where machines collect information from other machines, and IoT where machines control other machines.
A typical example of IoT where machines collect information from other machines is the Vehicle Information and Communications System (VICS). Currently, sensors installed on highways measure road information such as congestion and traffic regulations, and the VICS center processes the information and transmits it in real time to car navigation systems from radio beacons installed on the highway. In the future, it is expected that VICS will be able to cover even more detailed and extensive road information by having cars running on the roads themselves become IoT sensors and collect and analyze large amounts of information.
An example of IoT where machines control other machines is an automatic lighting control system for buildings. Motion sensors installed in the building detect the presence of people, and the control device adjusts the brightness of the lights based on that information. Other systems that control air conditioning are also in the practical stage.
IoT has been introduced into various fields and is already producing many benefits. It is expected to become even more widespread in the near future and dramatically change our living environment. Please keep an eye on its trends.

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July 30, 2024
What is Industry 4.0? Explaining the difference with IoT
“Industry 4.0” is closely related to IoT and is said to be an important term that will influence the future direction of manufacturing in Japan. We will answer questions such as what is Industry 4.0, what kind of future does it paint, and how it is related to and different from IoT.

What is Industry 4.0?
Industry 4.0 (the fourth industrial revolution) is a national project which has established a domestic industry-government-academia collaboration system, and has also attracted attention in Japan with the advancement of IoT. At the heart of
this concept is the idea of the “smart factory” (thinking factory).

What is a smart factory in Industry 4.0?
A smart factory is a system in which all machinery and equipment within a factory are connected to the Internet, streamlining the manufacturing process and enabling the efficient large-scale production of small quantities of a wide variety of high-added-value products.
It is said that to make factories smarter, it is essential to network the engineering and supply chains using not only the Internet, but also IoT, big data, AI, industrial robots, etc. The essence of a smart factory is a factory that makes maximum use of advanced technologies such as IoT and robots and is connected by a network.

What is the goal of Industry 4.0?
What exactly does Industry 4.0 intend to achieve? The following three points are considered to be particularly important:
1. Realization of dynamic cell production
“Dynamic cell production” was devised as a way to realize large-scale production of a wide variety of low-volume, high-value-added products using smart factories. Dynamic cell production is said to be an evolved production method that combines the advantages of traditional “line production” and “cell production,” in which products are assembled by one person or a small team of workers.
In dynamic cell production, the line processes are classified into several types, and the robots responsible for assembly at each process exchange information in real time via a network with the cloud, higher-level systems, surrounding equipment, and on-site workers, and proceed with the optimized number and variety of production according to the situation.
2. Appealing to mass customization
By further advancing dynamic cell production, it will eventually be possible to produce products with individually different specifications. The manufacturing technique of producing products that reflect diverse customer needs in a timely manner, starting from “lot size 1,” and providing them to the market without increasing costs is called “mass customization.” This term is a combination of mass production, which means mass production, and customization, which means made-to-order production.
It is predicted that in the future, Industry 4.0 will see many smart factories being connected to each other, so that a country’s entire manufacturing industry will function as if it were one large smart factory.
Mass customization will be realized in the most ideal way in such a future environment. Each product with specifications changed according to needs will be produced quickly and smoothly by automatically selecting the most efficient line and process in the supply chain. It has been announced that this will enable everyone to obtain custom-made products quickly and at low prices.
3. Evolving manufacturing with cyber-physical systems (CPS)
Industry 4.0 aims to evolve manufacturing through “cyber-physical systems” that collect diverse data from the real world, or physical world, using sensor networks and other means, and process and analyze it using computer systems in cyberspace.
A sensor network is a network of interconnected sensors that measure data, while a cyber-physical system is a system or service that creates an efficient and advanced society by closely linking computing power in the real world and cyberspace.
For example, when a product manufactured through mass customization is delivered to a consumer, the product itself then acts as a data collection terminal, sending data on usage and consumer needs to the design and manufacturing site, creating a cycle.
Once such a cyber-physical system infrastructure is in place, it is expected that intelligent production systems will be built in which all data related to manufacturing, from design and development to production, will be accumulated and analyzed, and will operate autonomously to deliver products to consumers.

What is the difference between IoT and Industry 4.0?
IoT is translated as “Internet of Things”. IoT is a mechanism in which various things are connected to the Internet and take necessary actions by exchanging information. In IoT, things are basically connected to the Internet to exchange information.
On the other hand, in Industry 4.0, not only are things connected to the Internet, but things are also connected to each other. Furthermore, collections of things, or business processes, are also connected to each other and exchange information. These complex connections allow for autonomous and automatic operation while maintaining an optimized production system, which is the new form of manufacturing in Industry 4.0.

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July 30, 2024
What is the digital twin that is attracting attention in the manufacturing industry? Explaining the benefits and examples of implementation
Digital twin is a technology that uses digital technology to collect data in physical space and recreate the real world in virtual space “like a twin.” By using technologies such as AI and IoT, we simulate the future by acquiring data on places, people, things, etc. and recreating it in virtual space.
In this article, we will introduce digital twins in detail, including their benefits and usage examples.

What is a digital twin?
For example, by using digital twins to collect and analyze data related to problems in real time, it is possible to quickly correct the cause. In addition, by accumulating data that reflects usage status in a virtual space, it becomes easier to improve products. In this chapter, we will explain in detail what a digital twin is.
Digital twin is a technology that creates a copy of the real world in virtual space.
Digital twin is one of the latest technologies that is attracting attention in the manufacturing industry. This technology can reproduce physical elements such as real-world products and equipment in a virtual space.
There are many benefits to introducing this technology, but the major one is that it can improve the efficiency and productivity of equipment. Specifically, it helps troubleshoot and prevent maintenance on production lines. It can also be used for product quality control and new product development.
Ministry of Internal Affairs and Communications’ digital twin initiatives
The Ministry of Internal Affairs and Communications is proceeding with the construction of digital twins for local government facilities and buildings. This initiative is expected to enable disaster response and efficient facility management.
In the manufacturing industry, in addition to optimizing manufacturing processes, it can be used in various aspects such as quality control and new product development. Therefore, digital twins will become an increasingly important technology in the manufacturing industry in the future. In addition, it is expected that by being used in the public sector, as in the case of the Ministry of Internal Affairs and Communications, it will contribute to improving the efficiency of society as a whole.

Differences between digital twin, simulation, and metaverse
Some people may be confused because there are many similar concepts such as digital twin, simulation, and metaverse. From here, I will explain the differences between digital twins and other concepts.
How is it different from simulation?
Simulation refers to recreating what is happening in real space in another location. On the other hand, digital twin can be said to be a method of simulation, but the difference is that it is done in real time. Digital twins can be recreated in virtual space in real time. This makes it possible to instantly grasp the situation in real space with high precision and perform appropriate simulations.
Digital twins can be used to optimize product design and manufacturing processes before the actual car is manufactured. It is also possible to improve productivity by simulating the settings and operation methods of production line equipment.
How is it different from the Metaverse?
Digital twins can be used efficiently in product development, manufacturing, and maintenance by creating a physical model of a product or process and simulating its operation and behavior . On the other hand, the Metaverse is a virtual space that does not necessarily correspond to the real world and is used for various purposes such as business and entertainment.
In the manufacturing industry, the Metaverse is used in a variety of ways, such as virtually designing and simulating products on the Metaverse, or building a digital twin factory on the Metaverse to reproduce a production line and simulate it in real time.

5 benefits of digital twins in the manufacturing industry
Digital twins bring five benefits to the manufacturing industry:
- Improving production efficiency
- Strengthening quality control
- Development cost reduction
- Realizing on-demand production
- Supply chain optimization
Advantage 1. Improved production efficiency
By introducing a digital twin, it is possible to quickly create a highly accurate virtual model of a production line and design an optimal production process. This eliminates the need for time-consuming repetition of conventional trial-and-error improvement work, and is expected to improve production efficiency. In addition, since the entire production line can be understood, it leads to smooth coordination between processes and automation of work.
Advantage 2. Strengthening quality control
This makes it possible to detect abnormal values and defective areas during quality control and take prompt action. Furthermore, with the introduction of digital twins, quality control work that previously required on-site observation and measurement may become faster and more accurate.
Advantage 3: Reduced development costs
Utilizing digital twins can reduce the number of prototypes and prototypes required for product development. Additionally, by simulating product design and production processes, problems can be discovered and improved at an early stage during the development stage. This will make it possible to reduce development costs.
Advantage 4. Realization of on-demand production
By leveraging digital twins, you can achieve fast and flexible on-demand production. In conventional manufacturing, production lines were often designed for mass production, so small-lot production and customized production tended to be time-consuming and costly. However, by using a digital twin, product design and manufacturing processes can be virtually reproduced, making it possible to quickly and easily make design changes and optimize production lines. This allows us to handle small-lot and customized production, allowing us to respond more flexibly to customer needs.
Benefit 5. Supply chain optimization
Supply chain optimization is possible by utilizing digital twins. The supply chain is the flow from the procurement of raw materials to the shipment of products, and is a complex process that involves many elements such as production lines, logistics, and inventory.
By using a digital twin, data on each element can be collected and reproduced virtually, making it possible to improve the efficiency of the entire supply chain, such as inventory optimization and production line optimization. In addition, visualization of logistics and inventory will improve the accuracy of demand forecasting and inventory management, which will also lead to cost reductions.

Examples of digital twin usage in the manufacturing industry
It would be a good idea to refer to case studies when actually implementing digital twins. You can compare the points you can incorporate in your company in the future with specific plans.
Toyota | Used in demonstration experiments in smart cities
The aim is to build a smart city where cars, energy, buildings, etc. are linked, and digital twins are used for simulations by reproducing equipment such as vehicles and energy systems in virtual space. Based on this result, we were able to work on the development of self-driving cars and improve Toyota’s technological capabilities.
Renault | Used to improve efficiency of vehicle development process
Renault uses digital twins to streamline its vehicle development process. Using digital twins, it is now possible to perform verification and evaluation in a virtual space during the product development process.
Specifically, we use 3D digital twins to consistently manage everything from product development to manufacturing and maintenance. This makes it possible to optimize designs and production lines, contributing to shorter development times and lower costs.
Daikin Industries | Utilizing to create a “factory that never stops”
Daikin Industries is currently using digital twins to create a “non-stop factory” (a factory that minimizes production line stagnation). Using digital twins, we are working to predict and improve production line stagnation in factories and improve production efficiency. We reproduce the conditions of manufacturing equipment and assembly work in virtual space to monitor and troubleshoot production lines.
It can be said that the introduction of digital twins has minimized production line downtime and improved productivity.
DENSO｜Used to realize Maas
DENSO is working to realize MaaS (Mobility as a Service) services by utilizing digital twins. Specifically, the purpose is to provide appropriate services based on vehicle driving data and customer information, and to improve customer satisfaction. Utilizing digital twins enables more efficient vehicle management, leading to the provision of MaaS services.

Services that utilize digital twins | What is the supply chain optimization (SCO) service provided by Hitachi?
In the manufacturing industry, digital twins are a hot technology for optimizing supply chains and improving production efficiency. Hitachi’s supply chain optimization (SCO) services utilize digital twins to improve supply chain efficiency, reduce costs, shorten lead times, optimize inventory, and improve customer service. What is attracting attention is that it is possible to simulate “production, logistics, and sales” as a set, rather than just production or logistics alone.
Specifically, we will reproduce the entire product cycle as a digital twin and optimize every step of the way, including product design, manufacturing, sales, and after-sales service. In addition, by collecting information on product inventory and logistics in real time and performing simulations on digital twins, we can improve supply chain efficiency and reduce costs.

Technologies used in digital twin
Digital twins in the manufacturing industry utilize IoT, AI, 5G, VR, etc. to improve production processes.
[IoT] for data collection
IoT is a technology primarily used to collect data in digital twins. By attaching cameras and sensors to machines and products on the production line, data on product conditions and production processes can be collected from factory equipment and equipment in real time. This allows it to be used in a wide variety of applications, such as product quality control and production process optimization.
For example, food manufacturers may use IoT to collect information such as product temperature, humidity, and vibration in real time to ensure product quality.
With the introduction of IoT, tasks that were previously done manually can be automated and more efficient production processes can be realized.
[AI] for data analysis
AI is a technology that collects collected data, learns from it, and performs advanced data analysis to identify problems and suggest improvements. By analyzing the data collected by IoT, it is possible to optimize production processes and predict problems.
For example, there are cases where AI is used to analyze production line data and predict and respond to the occurrence of defective products in advance, leading to improved production line efficiency and quality. The introduction of AI can significantly reduce the time it takes to analyze data and solve problems.
[5G] for sending and receiving data in real time
5G is a next-generation communication standard that enables high-speed and stable communication, and is a technology for performing advanced data analysis. In the manufacturing industry, equipment, robots, sensors, etc. in the factory may be required to send and receive data in real time. Utilizing 5G will enable high-speed and stable communications, making it possible to remotely control devices and achieve advanced automation.
For example, there is a case where remote operations using 5G were used to remotely carry out work in offshore oil fields, successfully reducing the number of personnel. The introduction of 5G will enable rapid response in product quality control and production line optimization.
[VR] for visualizing digital space
VR is a technology that enables more effective decision-making, such as digital twin simulation and troubleshooting, by visualizing digital space. In the manufacturing industry, factory equipment and processes can be reproduced and visually confirmed in 3D space.
For example, VR can be used to simulate the design and layout of equipment in a factory, leading to improved productivity and reduced manpower. Additionally, troubleshooting, which previously required manual on-site work, will now be able to be done remotely.
[Blockchain] for storing data safely and transparently
Blockchain is a digital technology that uses distributed ledger technology to store information securely and transparently, and to prevent tampering. Multiple computers distributed on the network approve transaction information and data, and the information is prevented from being tampered with by storing it in a chain-like data structure that connects collections of data called blocks.
Also, because it is on a network, there is no centralized administrator. This makes it highly secure and reliable, and is used in a variety of fields. Although it is known to be mainly used for virtual currency transactions, it is a technology that is expected to be applied in many other fields such as contract automation, voting systems, and supply chain management.
Digital Twin Introduction | Two Challenges
Digital twin is a technology that will bring about major changes in the manufacturing industry, but there are several challenges to implementing it. Above all, let’s consider the balance between implementation costs and ROI improvement, as well as security issues.
Balance between implementation cost and ROI improvement
Implementing a digital twin can be expensive. Therefore, when companies decide to introduce it, they need to consider the balance between implementation costs and ROI (Return On Investment). On the other hand, the introduction of digital twins can improve productivity, improve quality, and detect failures early, and can be expected to have significant economic effects from a long-term perspective.
security issues
With the introduction of digital twins, security issues are also emerging. Digital twins enable real-time monitoring of products and systems, making them potential targets for hackers and cyberattacks.

Future outlook for digital twins
In the manufacturing industry, where digital twins are attracting attention, collaboration between digital twins and metaverses is expected for the future. The impact that future technological advances will have on the manufacturing industry is also a hot topic.
Collaboration between digital twin and metaverse
The reason why digital twins and metaverses are expected to work together is that large-scale simulations that cannot be realized in the real world can be performed in virtual space. Using digital twin technology, it is possible to virtually reproduce real space in the Metaverse, which is expected to enable a realistic product experience.
For example, by linking detailed product design information provided by digital twins with virtual space display and operability provided by Metaverse, product design and performance improvements can be made more quickly and accurately.
Future technological advances and their impact on the manufacturing industry
As for the impact that future technological advances will have on the manufacturing industry, advances in technologies such as AI, IoT, blockchain, and 5G are expected to improve productivity, quality control, and supply chains in the manufacturing industry.
For example, automation using AI can make manufacturing processes more efficient and improve quality control, and blockchain can improve supply chain transparency, making the entire supply chain more efficient. can.
Summary
In the future, it is believed that the collaboration between digital twins and the metaverse, as well as advances in technologies such as AI, IoT, blockchain, and 5G, will make it possible for manufacturers to provide more efficient and high-quality products more quickly. However, it is also necessary to respond to new challenges and risks arising from technological advances, and it is important for the manufacturing industry to continue to respond to technological advances and achieve sustainable growth.

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July 6, 2024
What is the digital twin that is attracting attention in the manufacturing industry? Explaining the benefits and examples of implementation
Digital twin is a technology that uses digital technology to collect data in physical space and recreate the real world in virtual space “like a twin.” By using technologies such as AI and IoT, we simulate the future by acquiring data on places, people, things, etc. and recreating it in virtual space.
In this article, we will introduce digital twins in detail, including their benefits and usage examples.

What is a digital twin?
For example, by using digital twins to collect and analyze data related to problems in real time, it is possible to quickly correct the cause. In addition, by accumulating data that reflects usage status in a virtual space, it becomes easier to improve products. In this chapter, we will explain in detail what a digital twin is.
Digital twin is a technology that creates a copy of the real world in virtual space.
Digital twin is one of the latest technologies that is attracting attention in the manufacturing industry. This technology can reproduce physical elements such as real-world products and equipment in a virtual space.
There are many benefits to introducing this technology, but the major one is that it can improve the efficiency and productivity of equipment. Specifically, it helps troubleshoot and prevent maintenance on production lines. It can also be used for product quality control and new product development.
Ministry of Internal Affairs and Communications’ digital twin initiatives
The Ministry of Internal Affairs and Communications is proceeding with the construction of digital twins for local government facilities and buildings. This initiative is expected to enable disaster response and efficient facility management.
In the manufacturing industry, in addition to optimizing manufacturing processes, it can be used in various aspects such as quality control and new product development. Therefore, digital twins will become an increasingly important technology in the manufacturing industry in the future. In addition, it is expected that by being used in the public sector, as in the case of the Ministry of Internal Affairs and Communications, it will contribute to improving the efficiency of society as a whole.

Differences between digital twin, simulation, and metaverse
Some people may be confused because there are many similar concepts such as digital twin, simulation, and metaverse. From here, I will explain the differences between digital twins and other concepts.
How is it different from simulation?
Simulation refers to recreating what is happening in real space in another location. On the other hand, digital twin can be said to be a method of simulation, but the difference is that it is done in real time. Digital twins can be recreated in virtual space in real time. This makes it possible to instantly grasp the situation in real space with high precision and perform appropriate simulations.
Digital twins can be used to optimize product design and manufacturing processes before the actual car is manufactured. It is also possible to improve productivity by simulating the settings and operation methods of production line equipment.
How is it different from the Metaverse?
Digital twins can be used efficiently in product development, manufacturing, and maintenance by creating a physical model of a product or process and simulating its operation and behavior . On the other hand, the Metaverse is a virtual space that does not necessarily correspond to the real world and is used for various purposes such as business and entertainment.
In the manufacturing industry, the Metaverse is used in a variety of ways, such as virtually designing and simulating products on the Metaverse, or building a digital twin factory on the Metaverse to reproduce a production line and simulate it in real time.

5 benefits of digital twins in the manufacturing industry
Digital twins bring five benefits to the manufacturing industry:
- Improving production efficiency
- Strengthening quality control
- Development cost reduction
- Realizing on-demand production
- Supply chain optimization
Advantage 1. Improved production efficiency
By introducing a digital twin, it is possible to quickly create a highly accurate virtual model of a production line and design an optimal production process. This eliminates the need for time-consuming repetition of conventional trial-and-error improvement work, and is expected to improve production efficiency. In addition, since the entire production line can be understood, it leads to smooth coordination between processes and automation of work.
Advantage 2. Strengthening quality control
This makes it possible to detect abnormal values and defective areas during quality control and take prompt action. Furthermore, with the introduction of digital twins, quality control work that previously required on-site observation and measurement may become faster and more accurate.
Advantage 3: Reduced development costs
Utilizing digital twins can reduce the number of prototypes and prototypes required for product development. Additionally, by simulating product design and production processes, problems can be discovered and improved at an early stage during the development stage. This will make it possible to reduce development costs.
Advantage 4. Realization of on-demand production
By leveraging digital twins, you can achieve fast and flexible on-demand production. In conventional manufacturing, production lines were often designed for mass production, so small-lot production and customized production tended to be time-consuming and costly. However, by using a digital twin, product design and manufacturing processes can be virtually reproduced, making it possible to quickly and easily make design changes and optimize production lines. This allows us to handle small-lot and customized production, allowing us to respond more flexibly to customer needs.
Benefit 5. Supply chain optimization
Supply chain optimization is possible by utilizing digital twins. The supply chain is the flow from the procurement of raw materials to the shipment of products, and is a complex process that involves many elements such as production lines, logistics, and inventory.
By using a digital twin, data on each element can be collected and reproduced virtually, making it possible to improve the efficiency of the entire supply chain, such as inventory optimization and production line optimization. In addition, visualization of logistics and inventory will improve the accuracy of demand forecasting and inventory management, which will also lead to cost reductions.

Examples of digital twin usage in the manufacturing industry
It would be a good idea to refer to case studies when actually implementing digital twins. You can compare the points you can incorporate in your company in the future with specific plans.
Toyota | Used in demonstration experiments in smart cities
The aim is to build a smart city where cars, energy, buildings, etc. are linked, and digital twins are used for simulations by reproducing equipment such as vehicles and energy systems in virtual space. Based on this result, we were able to work on the development of self-driving cars and improve Toyota’s technological capabilities.
Renault | Used to improve efficiency of vehicle development process
Renault uses digital twins to streamline its vehicle development process. Using digital twins, it is now possible to perform verification and evaluation in a virtual space during the product development process.
Specifically, we use 3D digital twins to consistently manage everything from product development to manufacturing and maintenance. This makes it possible to optimize designs and production lines, contributing to shorter development times and lower costs.
Daikin Industries | Utilizing to create a “factory that never stops”
Daikin Industries is currently using digital twins to create a “non-stop factory” (a factory that minimizes production line stagnation). Using digital twins, we are working to predict and improve production line stagnation in factories and improve production efficiency. We reproduce the conditions of manufacturing equipment and assembly work in virtual space to monitor and troubleshoot production lines.
It can be said that the introduction of digital twins has minimized production line downtime and improved productivity.
DENSO｜Used to realize Maas
DENSO is working to realize MaaS (Mobility as a Service) services by utilizing digital twins. Specifically, the purpose is to provide appropriate services based on vehicle driving data and customer information, and to improve customer satisfaction. Utilizing digital twins enables more efficient vehicle management, leading to the provision of MaaS services.

Services that utilize digital twins | What is the supply chain optimization (SCO) service provided by Hitachi?
In the manufacturing industry, digital twins are a hot technology for optimizing supply chains and improving production efficiency. Hitachi’s supply chain optimization (SCO) services utilize digital twins to improve supply chain efficiency, reduce costs, shorten lead times, optimize inventory, and improve customer service. What is attracting attention is that it is possible to simulate “production, logistics, and sales” as a set, rather than just production or logistics alone.
Specifically, we will reproduce the entire product cycle as a digital twin and optimize every step of the way, including product design, manufacturing, sales, and after-sales service. In addition, by collecting information on product inventory and logistics in real time and performing simulations on digital twins, we can improve supply chain efficiency and reduce costs.

Technologies used in digital twin
Digital twins in the manufacturing industry utilize IoT, AI, 5G, VR, etc. to improve production processes.
[IoT] for data collection
IoT is a technology primarily used to collect data in digital twins. By attaching cameras and sensors to machines and products on the production line, data on product conditions and production processes can be collected from factory equipment and equipment in real time. This allows it to be used in a wide variety of applications, such as product quality control and production process optimization.
For example, food manufacturers may use IoT to collect information such as product temperature, humidity, and vibration in real time to ensure product quality.
With the introduction of IoT, tasks that were previously done manually can be automated and more efficient production processes can be realized.
[AI] for data analysis
AI is a technology that collects collected data, learns from it, and performs advanced data analysis to identify problems and suggest improvements. By analyzing the data collected by IoT, it is possible to optimize production processes and predict problems.
For example, there are cases where AI is used to analyze production line data and predict and respond to the occurrence of defective products in advance, leading to improved production line efficiency and quality. The introduction of AI can significantly reduce the time it takes to analyze data and solve problems.
[5G] for sending and receiving data in real time
5G is a next-generation communication standard that enables high-speed and stable communication, and is a technology for performing advanced data analysis. In the manufacturing industry, equipment, robots, sensors, etc. in the factory may be required to send and receive data in real time. Utilizing 5G will enable high-speed and stable communications, making it possible to remotely control devices and achieve advanced automation.
For example, there is a case where remote operations using 5G were used to remotely carry out work in offshore oil fields, successfully reducing the number of personnel. The introduction of 5G will enable rapid response in product quality control and production line optimization.
[VR] for visualizing digital space
VR is a technology that enables more effective decision-making, such as digital twin simulation and troubleshooting, by visualizing digital space. In the manufacturing industry, factory equipment and processes can be reproduced and visually confirmed in 3D space.
For example, VR can be used to simulate the design and layout of equipment in a factory, leading to improved productivity and reduced manpower. Additionally, troubleshooting, which previously required manual on-site work, will now be able to be done remotely.
[Blockchain] for storing data safely and transparently
Blockchain is a digital technology that uses distributed ledger technology to store information securely and transparently, and to prevent tampering. Multiple computers distributed on the network approve transaction information and data, and the information is prevented from being tampered with by storing it in a chain-like data structure that connects collections of data called blocks.
Also, because it is on a network, there is no centralized administrator. This makes it highly secure and reliable, and is used in a variety of fields. Although it is known to be mainly used for virtual currency transactions, it is a technology that is expected to be applied in many other fields such as contract automation, voting systems, and supply chain management.
Digital Twin Introduction | Two Challenges
Digital twin is a technology that will bring about major changes in the manufacturing industry, but there are several challenges to implementing it. Above all, let’s consider the balance between implementation costs and ROI improvement, as well as security issues.
Balance between implementation cost and ROI improvement
Implementing a digital twin can be expensive. Therefore, when companies decide to introduce it, they need to consider the balance between implementation costs and ROI (Return On Investment). On the other hand, the introduction of digital twins can improve productivity, improve quality, and detect failures early, and can be expected to have significant economic effects from a long-term perspective.
security issues
With the introduction of digital twins, security issues are also emerging. Digital twins enable real-time monitoring of products and systems, making them potential targets for hackers and cyberattacks.

Future outlook for digital twins
In the manufacturing industry, where digital twins are attracting attention, collaboration between digital twins and metaverses is expected for the future. The impact that future technological advances will have on the manufacturing industry is also a hot topic.
Collaboration between digital twin and metaverse
The reason why digital twins and metaverses are expected to work together is that large-scale simulations that cannot be realized in the real world can be performed in virtual space. Using digital twin technology, it is possible to virtually reproduce real space in the Metaverse, which is expected to enable a realistic product experience.
For example, by linking detailed product design information provided by digital twins with virtual space display and operability provided by Metaverse, product design and performance improvements can be made more quickly and accurately.
Future technological advances and their impact on the manufacturing industry
As for the impact that future technological advances will have on the manufacturing industry, advances in technologies such as AI, IoT, blockchain, and 5G are expected to improve productivity, quality control, and supply chains in the manufacturing industry.
For example, automation using AI can make manufacturing processes more efficient and improve quality control, and blockchain can improve supply chain transparency, making the entire supply chain more efficient. can.
Summary
In the future, it is believed that the collaboration between digital twins and the metaverse, as well as advances in technologies such as AI, IoT, blockchain, and 5G, will make it possible for manufacturers to provide more efficient and high-quality products more quickly. However, it is also necessary to respond to new challenges and risks arising from technological advances, and it is important for the manufacturing industry to continue to respond to technological advances and achieve sustainable growth.

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July 6, 2024
Exploring IoT: Industry-Specific Success Stories and Fascinating Use Cases
When you hear the word ” IoT ,” it may seem like something from a faraway world, but in reality, there are many things that have already permeated our daily lives. In order to understand the future of IoT, it is necessary to know in what fields IoT is currently being used. In this article, we will introduce what IoT technology can do and various examples of how IoT is used in businesses and homes.
We also explain the benefits and points to note when introducing IoT, so please read until the end.

Basic knowledge of IoT
Before introducing specific use cases of IoT, let’s first deepen our understanding of what IoT is.
What is IoT?
IoT is an acronym for “Internet of Things,” and is translated into Japanese as “Internet of Things.” In other words, it is a system that connects various things around us to the Internet.
Until recently, it was common to connect to the Internet from a computer at home or work. However, with the spread of mobile devices such as smartphones and tablets, it has become easier to access the Internet from anywhere. Furthermore, “smart home appliances” such as televisions and air conditioners that can be connected to the Internet are appearing one after another, making it possible to operate devices remotely even when you are far away.
There are great expectations for technology that utilizes IoT, as it has the potential to make life even more convenient and enrich society. Against this background, the IoT market continues to grow year by year, and is expected to further expand in the future.

How IoT works
Various home appliances and equipment targeted by IoT are equipped with sensors, cameras, etc. These sensors and cameras sense and collect information such as the condition of objects and the surrounding environment, and transmit this data to people and objects via the Internet. The sensors installed vary depending on the device, such as light sensors, temperature sensors, and acceleration sensors.
Let’s take smartwatches as an easy-to-understand example. A smartwatch acquires information such as biometric data such as heart rate and blood pressure, as well as the number of steps taken, based on sensors attached to the watch and GPS. That data is then sent to your smartphone via the internet or stored in the cloud, where it accumulates. The data collected in this way is analyzed by AI, converted into easy-to-understand information such as graphs, and then presented to the user again.
Until now, when selling something, the functionality and price of the item itself were considered to be the main sales criteria to determine whether it would sell or not. However, by introducing IoT, manufacturers are now able to add new added value to existing products.

What can be achieved with IoT technology
By using IoT technology, you can do four main things.
The keyword for what can be done with IoT is “remote”.
Now, let’s introduce one by one what you can do using IoT technology.

Remote control
In recent years, many IoT home appliances have been released. Typical examples include lighting equipment and air conditioners. By using home smart devices and sensors, you can remotely control lights, air conditioners, home appliances, etc. It also helps prevent people from forgetting to turn off these devices, improving safety and efficiency. Remote control of IoT devices will make our lives more comfortable.
You can also use smartphone apps to boil a bath or cook rice from anywhere. In this way, remote control of IoT devices makes life more comfortable.
Furthermore, remote pairing allows devices that are physically separated to communicate with each other.
In the medical field, online medical treatment is conducted using “wearable devices” that can be worn on clothing or wrapped around the hand.
The unique feature is that patients can wear a wearable device to monitor their health status, such as their blood pressure, in real time. This has the advantage of being able to provide medical examinations and guidance in remote locations such as the patient’s home and the hospital.
In addition, at manufacturing sites, sensors and control equipment are paired with PCs in the factory for data communication, and real-time monitoring and equipment control are performed from remote locations.

Detecting the movement of objects from a distance
By utilizing IoT, it is also possible to detect and monitor the movement of things from a distance.
It is also possible to construct a remote monitoring system using cameras and sensors.
Various sensors have been developed, including sensors that detect people and movement, and sensors that detect temperature.
The following are examples of what can be done by combining such sensors and IoT technology.
- Activate the camera and take images only when someone passes by
- Send signals to other devices and play alarms, etc.
Autonomous driving, which applies the brakes when it detects a pedestrian, is also an example of the use of IoT technology to detect the movement of objects.

Detect the status remotely
Using IoT, it is possible to detect conditions from a remote location, but even in this case, sensors are used.
For example, it uses temperature and humidity sensors to sound an alert when a certain value is exceeded.
Soil sensors also allow agriculture to monitor soil moisture, temperature, and nutrient levels.
Accelerometers that detect vibration, shock, and motion are used for structural monitoring of buildings, bridges, and vehicles.

Examples of IoT usage by industry
Now that we have a deeper understanding of IoT, let’s take a look at more specific use cases of IoT by industry. Convenient products and services with hidden potential are appearing one after another, including products that may become mainstream in the future.

Examples of use in the agricultural field
In the agricultural field, “smart agriculture,” which reduces the labor of agricultural work, is attracting attention. Smart agriculture is next-generation agriculture that uses cutting-edge technology that enables labor-saving and high-quality production. Specifically, sensors collect information on things like solar radiation and soil conditions, and calculate the timing of watering and fertilization, as well as the optimal amount of fertilizer.
In the agricultural industry, where labor shortages are becoming a major issue in the future due to the aging of workers and the lack of successors, there are high hopes for smart agriculture. By combining IoT with robot technology, it is possible to automatically water or spread fertilizer based on calculated data. It is not a dream to be able to automatically determine the harvest time, harvest, box and ship. It is expected that this technology will reduce the workload, improve productivity, and solve the problem of human resource shortages.

Examples of use in the medical field
One example of IoT being utilized in the medical field is wearable devices. This allows patients to wear a device connected to the Internet, which measures biological data such as body temperature, blood pressure, and pulse, and converts it into data.
If it becomes easier for medical institutions to collect detailed biological data on patients, it will help them make accurate diagnoses and provide appropriate treatment. When something abnormal is detected, it will help you make a quick diagnosis and take appropriate measures.
In recent years, there has been a serious shortage of doctors in the medical field, and the increasing burden placed on medical personnel has become a problem. IoT in medical institutions is an area of great interest from the perspective of improving the working environment for doctors. IoT specialized in medical care is called “IoMT (Internet of Medical Things),” and research and development is progressing to provide better medical services.

Examples of use in the logistics industry
In the logistics field, IoT is used for warehouse management, picking, delivery, etc. DX that uses the latest technologies such as IoT is called “Logistics 4.0” by the industry’s unique name.
For example, you may have heard of technology that uses robotics for picking tasks, automatically transporting shelves containing products to staff. This allows staff to quickly locate specific products without having to walk around a large warehouse. Furthermore, by attaching IC tags to the materials managed in the distribution warehouse, it is possible to manage the materials using drones flown into the sky.
In the area of delivery, a transportation management system called “TMS” has emerged that comprehensively manages transportation and delivery. This helps you plan efficient dispatches and accurately calculate freight and labor costs. Utilizing the GPS function, you can understand the location of each delivery vehicle in real time and guide drivers to the optimal route based on traffic congestion information. Additionally, you can manage delivery vehicle lease contracts and calculate expenses.
Due to the increased use of online shopping, the logistics industry is currently facing increased supply and complexity. It is also true that the burden on each worker is increasing, as the number of delivery drivers is decreasing due to the declining birthrate and aging of the population.

Examples of usage in the manufacturing industry
The manufacturing industry is an industry where work automation is progressing, with the introduction of industrial robots. With the advent of robots that can operate 24 hours a day, 365 days a year, productivity improvements and quality stabilization have been realized. IoT in the manufacturing industry is characterized by the collaboration of robotics with AI and M2M (machine-to-machine).
Introducing IoT to the manufacturing industry enables visualization, control, and automation. “Visualization” refers to visualizing the information collected by sensors. It collects information that is difficult to express, such as handwritten data and the amount of force applied during manufacturing, and visualizes it for easy analysis. “Control” uses the analysis results to help things operate efficiently. Furthermore, “automation” is the ability to automatically perform such control using AI and other means.
By introducing IoT into factories, we can also aim to create a ” smart factory ” (a thinking factory). A smart factory is a system that connects the systems and equipment in a factory to the Internet to visualize and automate various tasks. You can expect to improve productivity by understanding the operating status of your factory in detail and placing human resources in the appropriate locations. If you use a function to manage the status of equipment and issue an alert before it breaks down, you will be able to carry out maintenance and repairs as necessary and minimize the damage caused by equipment failure.

Familiar IoT usage examples
We have introduced examples of IoT usage in companies such as agriculture, medical care, and manufacturing, but now we will introduce more familiar usage examples of IoT that are closely related to daily life.

Multifunctional and versatile smart speaker
Multifunctional and versatile smart speakers are attracting attention as an example of IoT applications.
- Amazon’s Alexa
- Google’s “Google Assistant”
- Apple’s “Siri”
etc. are famous.
Smart speakers not only control IoT devices and home appliances, but also come with a variety of functions.
Additionally, more and more people are using smart speakers as part of their morning routine, as they can play music and provide audio information such as news, weather, traffic information, and stock prices.
You can also use your smart speaker to order products from online stores such as Amazon.

Smart locks are very popular among the dual-income generation.
Smart locks that utilize IoT are a convenient tool that is popular among the dual-income generation.
No more forgetting your house keys, forgetting to give them to family members, or worrying about losing your keys.
Depending on the product, it is also possible to manage car keys.
You can use the dedicated app to check the unlock history of your keys, and if there is unauthorized access, you will receive an alert notification, so you can also take security measures.

Refrigerator that lets you know how much stock is left
One of the home appliances that uses IoT is a refrigerator that allows you to see how much stock is left.
It has a built-in camera and weight sensor that monitors the remaining amount of food and drinks and sends this information through an app.
It is also possible to send an alert when food ingredients are nearing their expiry date.
You can also check the list of ingredients and drinks and create a shopping list by linking with the smartphone app.
Using IoT refrigerators not only contributes to reducing food waste, but also contributes to household finances.

Wearable underwear that shows your child’s health status
Wearable underwear that utilizes IoT has built-in sensors that measure body temperature, heart rate, breathing rate, etc.
This allows parents to monitor their children with peace of mind, even from a distance, as they can monitor their child’s health status in real time.
When an abnormality is detected, an alert notification will be sent via the smartphone app.
Furthermore, wearable underwear has been developed that is breathable, lightweight, and waterproof, making it comfortable to wear.
It seems that the day when it will be used for nursing care will be in the near future.

A GPS device that lets you know where your child is when they go to and from school.
One system that uses IoT to manage children going to and from school is a GPS device that children carry around with them.
It is useful for parents who want to check their child’s safety because they can know their child’s whereabouts in real time.
You can receive alerts from the app if you go outside of the range pre-set on your device.
This allows parents to quickly locate their children even if they do not return home or become lost.

Interesting IoT usage examples
So far, we have introduced typical IoT usage cases.
I’m sure there are many that you use or have heard of.
From here, we will introduce three interesting IoT usage cases that have become popular and have attracted attention.

MAMORIO
“MAMORIO” is an IoT device that can be used in conjunction with a smartphone to prevent the loss of items and confirm location information.
By attaching it to your keys, wallet, or your luggage, you can check your location information on your smartphone.
You can also always check where your pet is by attaching MAMORIO to your pet’s collar.
You can also set the app to notify you when your pet leaves a certain range.
You can also attach it to your car, so you can easily find it even in a large parking lot.

Foop
foop is a smart device that will change the way you grow vegetables.
It automatically manages the environmental conditions necessary for growing vegetables, such as light, water, and temperature, and supports the growth of vegetables.
You can operate it from your smartphone and check the progress of training and environmental conditions in real time, so you can go to work or travel with peace of mind.
It also automatically sets the optimal growing program for the type of vegetable.
The stylish design allows you to grow vegetables even in limited space such as in urban areas.

Crunchy machine
“Kari Kari Machine” is a service that supports pet meal management using IoT devices.
The Karikari Machine allows you to set the amount of food according to your pet’s weight and age, and can also record the amount eaten. It is also possible to adjust the amount of food by remote control.
You can accurately manage your pet’s diet even when you are away.
Additionally, if your pet overeats while you are away, you will receive a notification on your smartphone, so you can take immediate action.

Benefits of IoT for businesses
From here, for those who are positively considering the introduction of IoT, we will introduce the benefits that the use of IoT brings to companies.

Enables improved quality and productivity
By utilizing IoT, quality and productivity can be improved in many industries such as manufacturing, logistics, agriculture, and construction.
For quality improvement, IoT devices can be used to monitor product quality in real time.
If a quality abnormality occurs, by setting up an alert to be sent, you can prevent the occurrence of defective products at an early stage and ensure quality.
When it comes to improving productivity, IoT devices can be used to streamline work processes and reduce production line downtime.

Can reduce the number of workers
By utilizing IoT, it may be possible to reduce the number of workers required for some tasks.
Particularly at manufacturing sites, IoT sensors can be used to predict machine failures and perform necessary maintenance in advance, reducing the number of maintenance workers.
In some cases, automating tasks can free up your time for other tasks.

Know the issues to consider when introducing IoT
Although we have introduced the benefits of using IoT, there are also issues to consider when implementing it.
We will explain the five issues in an easy-to-understand manner.

Radio wave trouble
Radio wave troubles are an issue when introducing IoT.
Communication may become unstable due to radio wave interference, external noise, radio wave shielding, etc.
Radio wave problems may be resolved by taking measures such as selecting an appropriate installation location, setting the frequency band, and selecting the antenna.
It is also an effective method to obtain support from engineers who have technical knowledge about IoT device communication specifications and radio wave troubles.

Power supply trouble
Power supply problems are a major issue when introducing IoT.
Since power needs to be constantly supplied, power supply problems can affect the entire IoT system.
- Problems where power is not supplied to IoT devices due to power outages due to earthquakes, disasters, etc.
- An issue where an abnormality occurs in the power supply circuit, causing IoT devices to malfunction.
To solve these problems, it is necessary to have a backup power supply, such as an uninterruptible power supply or battery.

Securing human resources familiar with IoT
One of the issues to consider when introducing IoT is securing knowledgeable human resources.
Implementing an IoT system requires a wide range of knowledge, including hardware, software, cloud, and data analysis.
However, depending on the industry, there is a limited number of experienced human resources available for IoT technology, so it may be difficult to secure human resources.
IoT technology is evolving rapidly, so it is important to always learn the latest knowledge.
It is also necessary to utilize support from experts such as consulting firms, and to develop human resources in-house by utilizing online learning, training, seminars, etc.

Security trouble
Security measures are important when introducing IoT.
Unauthorized access to an IoT system may result in damage such as system misuse or leakage of personal information.
- Encrypt data to prevent information leaks
- Achieve secure authentication using multi-factor authentication
- Update regularly and fix vulnerabilities
- Continuously implement security measures such as introducing security monitoring tools
When it comes to security, the measures mentioned above are key.
Privacy trouble
When introducing IoT, it is also important to pay attention to privacy.
Since users’ actions and situations are recorded and analyzed, there is a possibility that this may violate the Personal Information Protection Act.
It is also necessary to take measures to prevent data leaks such as personal information leaks.
- Building a system that complies with laws and regulations regarding personal information protection
- Implement security measures such as data encryption and access control
- When collecting personal information, keep it to the minimum necessary and clarify the purpose of use.
Privacy measures, like security measures, require the above consideration from the system construction stage.

Summary
This time, we have introduced some well-known and interesting IoT usage cases.
Incorporating IoT products at home can lead to improved quality of life, such as reducing the burden of housework and reducing anxiety for families with children.
While the introduction of IoT in companies has security and privacy issues, there are many benefits such as reduced labor costs, increased efficiency, improved productivity, and improved safety.

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June 29, 2024
Exploring IoT: Industry-Specific Success Stories and Fascinating Use Cases
When you hear the word ” IoT ,” it may seem like something from a faraway world, but in reality, there are many things that have already permeated our daily lives. In order to understand the future of IoT, it is necessary to know in what fields IoT is currently being used. In this article, we will introduce what IoT technology can do and various examples of how IoT is used in businesses and homes.
We also explain the benefits and points to note when introducing IoT, so please read until the end.

Basic knowledge of IoT
Before introducing specific use cases of IoT, let’s first deepen our understanding of what IoT is.
What is IoT?
IoT is an acronym for “Internet of Things,” and is translated into Japanese as “Internet of Things.” In other words, it is a system that connects various things around us to the Internet.
Until recently, it was common to connect to the Internet from a computer at home or work. However, with the spread of mobile devices such as smartphones and tablets, it has become easier to access the Internet from anywhere. Furthermore, “smart home appliances” such as televisions and air conditioners that can be connected to the Internet are appearing one after another, making it possible to operate devices remotely even when you are far away.
There are great expectations for technology that utilizes IoT, as it has the potential to make life even more convenient and enrich society. Against this background, the IoT market continues to grow year by year, and is expected to further expand in the future.

How IoT works
Various home appliances and equipment targeted by IoT are equipped with sensors, cameras, etc. These sensors and cameras sense and collect information such as the condition of objects and the surrounding environment, and transmit this data to people and objects via the Internet. The sensors installed vary depending on the device, such as light sensors, temperature sensors, and acceleration sensors.
Let’s take smartwatches as an easy-to-understand example. A smartwatch acquires information such as biometric data such as heart rate and blood pressure, as well as the number of steps taken, based on sensors attached to the watch and GPS. That data is then sent to your smartphone via the internet or stored in the cloud, where it accumulates. The data collected in this way is analyzed by AI, converted into easy-to-understand information such as graphs, and then presented to the user again.
Until now, when selling something, the functionality and price of the item itself were considered to be the main sales criteria to determine whether it would sell or not. However, by introducing IoT, manufacturers are now able to add new added value to existing products.

What can be achieved with IoT technology
By using IoT technology, you can do four main things.
The keyword for what can be done with IoT is “remote”.
Now, let’s introduce one by one what you can do using IoT technology.

Remote control
In recent years, many IoT home appliances have been released. Typical examples include lighting equipment and air conditioners. By using home smart devices and sensors, you can remotely control lights, air conditioners, home appliances, etc. It also helps prevent people from forgetting to turn off these devices, improving safety and efficiency. Remote control of IoT devices will make our lives more comfortable.
You can also use smartphone apps to boil a bath or cook rice from anywhere. In this way, remote control of IoT devices makes life more comfortable.
Furthermore, remote pairing allows devices that are physically separated to communicate with each other.
In the medical field, online medical treatment is conducted using “wearable devices” that can be worn on clothing or wrapped around the hand.
The unique feature is that patients can wear a wearable device to monitor their health status, such as their blood pressure, in real time. This has the advantage of being able to provide medical examinations and guidance in remote locations such as the patient’s home and the hospital.
In addition, at manufacturing sites, sensors and control equipment are paired with PCs in the factory for data communication, and real-time monitoring and equipment control are performed from remote locations.

Detecting the movement of objects from a distance
By utilizing IoT, it is also possible to detect and monitor the movement of things from a distance.
It is also possible to construct a remote monitoring system using cameras and sensors.
Various sensors have been developed, including sensors that detect people and movement, and sensors that detect temperature.
The following are examples of what can be done by combining such sensors and IoT technology.
- Activate the camera and take images only when someone passes by
- Send signals to other devices and play alarms, etc.
Autonomous driving, which applies the brakes when it detects a pedestrian, is also an example of the use of IoT technology to detect the movement of objects.

Detect the status remotely
Using IoT, it is possible to detect conditions from a remote location, but even in this case, sensors are used.
For example, it uses temperature and humidity sensors to sound an alert when a certain value is exceeded.
Soil sensors also allow agriculture to monitor soil moisture, temperature, and nutrient levels.
Accelerometers that detect vibration, shock, and motion are used for structural monitoring of buildings, bridges, and vehicles.

Examples of IoT usage by industry
Now that we have a deeper understanding of IoT, let’s take a look at more specific use cases of IoT by industry. Convenient products and services with hidden potential are appearing one after another, including products that may become mainstream in the future.

Examples of use in the agricultural field
In the agricultural field, “smart agriculture,” which reduces the labor of agricultural work, is attracting attention. Smart agriculture is next-generation agriculture that uses cutting-edge technology that enables labor-saving and high-quality production. Specifically, sensors collect information on things like solar radiation and soil conditions, and calculate the timing of watering and fertilization, as well as the optimal amount of fertilizer.
In the agricultural industry, where labor shortages are becoming a major issue in the future due to the aging of workers and the lack of successors, there are high hopes for smart agriculture. By combining IoT with robot technology, it is possible to automatically water or spread fertilizer based on calculated data. It is not a dream to be able to automatically determine the harvest time, harvest, box and ship. It is expected that this technology will reduce the workload, improve productivity, and solve the problem of human resource shortages.

Examples of use in the medical field
One example of IoT being utilized in the medical field is wearable devices. This allows patients to wear a device connected to the Internet, which measures biological data such as body temperature, blood pressure, and pulse, and converts it into data.
If it becomes easier for medical institutions to collect detailed biological data on patients, it will help them make accurate diagnoses and provide appropriate treatment. When something abnormal is detected, it will help you make a quick diagnosis and take appropriate measures.
In recent years, there has been a serious shortage of doctors in the medical field, and the increasing burden placed on medical personnel has become a problem. IoT in medical institutions is an area of great interest from the perspective of improving the working environment for doctors. IoT specialized in medical care is called “IoMT (Internet of Medical Things),” and research and development is progressing to provide better medical services.

Examples of use in the logistics industry
In the logistics field, IoT is used for warehouse management, picking, delivery, etc. DX that uses the latest technologies such as IoT is called “Logistics 4.0” by the industry’s unique name.
For example, you may have heard of technology that uses robotics for picking tasks, automatically transporting shelves containing products to staff. This allows staff to quickly locate specific products without having to walk around a large warehouse. Furthermore, by attaching IC tags to the materials managed in the distribution warehouse, it is possible to manage the materials using drones flown into the sky.
In the area of delivery, a transportation management system called “TMS” has emerged that comprehensively manages transportation and delivery. This helps you plan efficient dispatches and accurately calculate freight and labor costs. Utilizing the GPS function, you can understand the location of each delivery vehicle in real time and guide drivers to the optimal route based on traffic congestion information. Additionally, you can manage delivery vehicle lease contracts and calculate expenses.
Due to the increased use of online shopping, the logistics industry is currently facing increased supply and complexity. It is also true that the burden on each worker is increasing, as the number of delivery drivers is decreasing due to the declining birthrate and aging of the population.

Examples of usage in the manufacturing industry
The manufacturing industry is an industry where work automation is progressing, with the introduction of industrial robots. With the advent of robots that can operate 24 hours a day, 365 days a year, productivity improvements and quality stabilization have been realized. IoT in the manufacturing industry is characterized by the collaboration of robotics with AI and M2M (machine-to-machine).
Introducing IoT to the manufacturing industry enables visualization, control, and automation. “Visualization” refers to visualizing the information collected by sensors. It collects information that is difficult to express, such as handwritten data and the amount of force applied during manufacturing, and visualizes it for easy analysis. “Control” uses the analysis results to help things operate efficiently. Furthermore, “automation” is the ability to automatically perform such control using AI and other means.
By introducing IoT into factories, we can also aim to create a ” smart factory ” (a thinking factory). A smart factory is a system that connects the systems and equipment in a factory to the Internet to visualize and automate various tasks. You can expect to improve productivity by understanding the operating status of your factory in detail and placing human resources in the appropriate locations. If you use a function to manage the status of equipment and issue an alert before it breaks down, you will be able to carry out maintenance and repairs as necessary and minimize the damage caused by equipment failure.

Familiar IoT usage examples
We have introduced examples of IoT usage in companies such as agriculture, medical care, and manufacturing, but now we will introduce more familiar usage examples of IoT that are closely related to daily life.

Multifunctional and versatile smart speaker
Multifunctional and versatile smart speakers are attracting attention as an example of IoT applications.
- Amazon’s Alexa
- Google’s “Google Assistant”
- Apple’s “Siri”
etc. are famous.
Smart speakers not only control IoT devices and home appliances, but also come with a variety of functions.
Additionally, more and more people are using smart speakers as part of their morning routine, as they can play music and provide audio information such as news, weather, traffic information, and stock prices.
You can also use your smart speaker to order products from online stores such as Amazon.

Smart locks are very popular among the dual-income generation.
Smart locks that utilize IoT are a convenient tool that is popular among the dual-income generation.
No more forgetting your house keys, forgetting to give them to family members, or worrying about losing your keys.
Depending on the product, it is also possible to manage car keys.
You can use the dedicated app to check the unlock history of your keys, and if there is unauthorized access, you will receive an alert notification, so you can also take security measures.

Refrigerator that lets you know how much stock is left
One of the home appliances that uses IoT is a refrigerator that allows you to see how much stock is left.
It has a built-in camera and weight sensor that monitors the remaining amount of food and drinks and sends this information through an app.
It is also possible to send an alert when food ingredients are nearing their expiry date.
You can also check the list of ingredients and drinks and create a shopping list by linking with the smartphone app.
Using IoT refrigerators not only contributes to reducing food waste, but also contributes to household finances.

Wearable underwear that shows your child’s health status
Wearable underwear that utilizes IoT has built-in sensors that measure body temperature, heart rate, breathing rate, etc.
This allows parents to monitor their children with peace of mind, even from a distance, as they can monitor their child’s health status in real time.
When an abnormality is detected, an alert notification will be sent via the smartphone app.
Furthermore, wearable underwear has been developed that is breathable, lightweight, and waterproof, making it comfortable to wear.
It seems that the day when it will be used for nursing care will be in the near future.

A GPS device that lets you know where your child is when they go to and from school.
One system that uses IoT to manage children going to and from school is a GPS device that children carry around with them.
It is useful for parents who want to check their child’s safety because they can know their child’s whereabouts in real time.
You can receive alerts from the app if you go outside of the range pre-set on your device.
This allows parents to quickly locate their children even if they do not return home or become lost.

Interesting IoT usage examples
So far, we have introduced typical IoT usage cases.
I’m sure there are many that you use or have heard of.
From here, we will introduce three interesting IoT usage cases that have become popular and have attracted attention.

MAMORIO
“MAMORIO” is an IoT device that can be used in conjunction with a smartphone to prevent the loss of items and confirm location information.
By attaching it to your keys, wallet, or your luggage, you can check your location information on your smartphone.
You can also always check where your pet is by attaching MAMORIO to your pet’s collar.
You can also set the app to notify you when your pet leaves a certain range.
You can also attach it to your car, so you can easily find it even in a large parking lot.

Foop
foop is a smart device that will change the way you grow vegetables.
It automatically manages the environmental conditions necessary for growing vegetables, such as light, water, and temperature, and supports the growth of vegetables.
You can operate it from your smartphone and check the progress of training and environmental conditions in real time, so you can go to work or travel with peace of mind.
It also automatically sets the optimal growing program for the type of vegetable.
The stylish design allows you to grow vegetables even in limited space such as in urban areas.

Crunchy machine
“Kari Kari Machine” is a service that supports pet meal management using IoT devices.
The Karikari Machine allows you to set the amount of food according to your pet’s weight and age, and can also record the amount eaten. It is also possible to adjust the amount of food by remote control.
You can accurately manage your pet’s diet even when you are away.
Additionally, if your pet overeats while you are away, you will receive a notification on your smartphone, so you can take immediate action.

Benefits of IoT for businesses
From here, for those who are positively considering the introduction of IoT, we will introduce the benefits that the use of IoT brings to companies.

Enables improved quality and productivity
By utilizing IoT, quality and productivity can be improved in many industries such as manufacturing, logistics, agriculture, and construction.
For quality improvement, IoT devices can be used to monitor product quality in real time.
If a quality abnormality occurs, by setting up an alert to be sent, you can prevent the occurrence of defective products at an early stage and ensure quality.
When it comes to improving productivity, IoT devices can be used to streamline work processes and reduce production line downtime.

Can reduce the number of workers
By utilizing IoT, it may be possible to reduce the number of workers required for some tasks.
Particularly at manufacturing sites, IoT sensors can be used to predict machine failures and perform necessary maintenance in advance, reducing the number of maintenance workers.
In some cases, automating tasks can free up your time for other tasks.

Know the issues to consider when introducing IoT
Although we have introduced the benefits of using IoT, there are also issues to consider when implementing it.
We will explain the five issues in an easy-to-understand manner.

Radio wave trouble
Radio wave troubles are an issue when introducing IoT.
Communication may become unstable due to radio wave interference, external noise, radio wave shielding, etc.
Radio wave problems may be resolved by taking measures such as selecting an appropriate installation location, setting the frequency band, and selecting the antenna.
It is also an effective method to obtain support from engineers who have technical knowledge about IoT device communication specifications and radio wave troubles.

Power supply trouble
Power supply problems are a major issue when introducing IoT.
Since power needs to be constantly supplied, power supply problems can affect the entire IoT system.
- Problems where power is not supplied to IoT devices due to power outages due to earthquakes, disasters, etc.
- An issue where an abnormality occurs in the power supply circuit, causing IoT devices to malfunction.
To solve these problems, it is necessary to have a backup power supply, such as an uninterruptible power supply or battery.

Securing human resources familiar with IoT
One of the issues to consider when introducing IoT is securing knowledgeable human resources.
Implementing an IoT system requires a wide range of knowledge, including hardware, software, cloud, and data analysis.
However, depending on the industry, there is a limited number of experienced human resources available for IoT technology, so it may be difficult to secure human resources.
IoT technology is evolving rapidly, so it is important to always learn the latest knowledge.
It is also necessary to utilize support from experts such as consulting firms, and to develop human resources in-house by utilizing online learning, training, seminars, etc.

Security trouble
Security measures are important when introducing IoT.
Unauthorized access to an IoT system may result in damage such as system misuse or leakage of personal information.
- Encrypt data to prevent information leaks
- Achieve secure authentication using multi-factor authentication
- Update regularly and fix vulnerabilities
- Continuously implement security measures such as introducing security monitoring tools
When it comes to security, the measures mentioned above are key.
Privacy trouble
When introducing IoT, it is also important to pay attention to privacy.
Since users’ actions and situations are recorded and analyzed, there is a possibility that this may violate the Personal Information Protection Act.
It is also necessary to take measures to prevent data leaks such as personal information leaks.
- Building a system that complies with laws and regulations regarding personal information protection
- Implement security measures such as data encryption and access control
- When collecting personal information, keep it to the minimum necessary and clarify the purpose of use.
Privacy measures, like security measures, require the above consideration from the system construction stage.

Summary
This time, we have introduced some well-known and interesting IoT usage cases.
Incorporating IoT products at home can lead to improved quality of life, such as reducing the burden of housework and reducing anxiety for families with children.
While the introduction of IoT in companies has security and privacy issues, there are many benefits such as reduced labor costs, increased efficiency, improved productivity, and improved safety.

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June 29, 2024
What is a smart factory? Explaining the advantages, disadvantages, issues, and examples!
Smart factories that make full use of IT technologies such as IoT and AI have the potential to be useful in situations such as failure prediction, defective product detection, human resource development, and energy conservation. Smart factories are one of the effective solutions to the challenges facing manufacturers in terms of factory operations. However, implementing it requires manufacturing knowledge and digital know-how. In order to introduce it, other issues such as initial cost and security must be resolved.
In this article, we will discuss the advantages and disadvantages, challenges, and tips for implementing smart factories.

What is a smart factory?
A smart factory is a factory that connects various equipment such as machine tools and production lines to a network to improve the efficiency of information management and optimize operations.
Traditional factory operations typically relied on skilled labor, highly technical staff, and experienced managers. However, factories, which support the backbone of the manufacturing industry, must constantly respond to a variety of issues. It is true that humans have limits when it comes to tackling issues such as failure detection, defective product detection, productivity improvement, and energy optimization.
Currently, in addition to the sophistication of equipment, the situation is constantly changing, such as the introduction of FA equipment (factory automation equipment) that supports automation, the spread of IoT, which refers to the Internet of Things, and the practical use of AI (artificial intelligence). . It is no exaggeration to say that all operations related to factory operations are supported by IT. It is now possible to quickly link product quality and condition, factory equipment operating status, and line information, dramatically improving capabilities.
As a result, the number of options for achieving the traditional issues of labor saving and productivity improvement has increased. With the introduction of smart factories, it is becoming easier to address pressing issues such as dealing with labor shortages and saving energy.

[Advantages] 5 reasons why you should work on a smart factory

This chapter introduces five benefits that can be gained by implementing a smart factory.

Can solve the shortage of human resources
Japan is experiencing a declining birthrate and aging population, and it is predicted that there will be a chronic labor shortage in the future. In the manufacturing industry, it is necessary to create an environment where even the elderly can work comfortably and to recruit human resources.
Labor savings can be achieved by automating tasks that were previously done manually. Furthermore, by having robots perform tasks that require physical strength, it will be easier to create an environment in which skilled seniors can work comfortably. It is predicted that the declining birthrate and aging population will continue in the future, so the introduction of smart factories can be expected to be effective in the long term.
Can promote work style reform
The introduction of smart factories will also lead to the promotion of work style reform . As the needs of workers continue to diversify and the working population continues to decline due to the declining birthrate and aging population, work style reforms are being promoted with the aim of reducing working hours and improving productivity in order to solve these issues. I am.
Its introduction can be expected to improve productivity and improve management efficiency in many manufacturing companies, which may lead to the promotion of work style reforms. Since it responds to the diversifying needs of workers, it can be said that it can be expected to improve employee satisfaction.
Technology can be inherited for a long time
Japan’s manufacturing industry has continued to make strides with its high technological capabilities, but the current situation is that technology has not been passed down. By using smart factories, you can collect know-how and skills as data. By using the collected data to create manuals and standardize work, it becomes easier to transfer technology smoothly.
By making it easier to inherit technology, there is also the benefit of smoother business succession, allowing advanced technology to be passed on to the next generation. Another feature is that by digitizing know-how and experience, it becomes easier to share it with the next generation.
You can promote your efforts towards SDGs.
This will also help promote your efforts towards the SDGs. SDGs (Sustainable Development Goals) are sustainable development goals that were unanimously adopted at the United Nations Summit in 2015. Since the Japanese government and many companies are also working on this, it is one of the elements that we would like to use as material for our appeal.
Smart factories can be said to be a response to the SDGs because they can monitor energy usage and prevent wasteful energy use.
Leads to cost reduction
Working towards smart factories will lead to cost reductions. Since defects in factory equipment can be identified, defective products can be reduced, and material costs can be expected to be reduced.
In addition, it will be possible to visualize the status of the production line and link data such as customer data, which will reduce the burden on employees and reduce labor costs.
By introducing this system, you can expect cost reductions, including material costs and labor costs.

[Disadvantages] Issues that arise when working on smart factories and how to deal with them

While smart factories have many benefits, they can also come with challenges. From here, we will explain the four main issues and how to deal with them.

Securing digital human resources
It is important to secure digital human resources in order to work on smart factories. Since knowledge and know-how in introducing and utilizing digital technology are required, human resources cannot be developed immediately. Furthermore, since know-how in manufacturing technology is required, it is common to proceed with training by introducing experts, IT vendors, etc.
Japan is experiencing a declining birthrate and aging population, making it more difficult than ever to secure human resources. Therefore, there are many cases where smart factories cannot be introduced due to a lack of human resources.
Enhanced security
Strengthening security is important in these efforts. It is common to handle large amounts of data, but this data is often important confidential information for companies, and if it is leaked, it will cause great damage.
In recent years, external threats such as unauthorized access and malware infection have increased the risk of data leaks. Therefore, a strong security model is essential for operating a smart factory.
Network system capacity issues
For deployment, network system capacity criteria must be met. If an IoT system does not have a certain amount of network system capacity, it will not be possible to collect huge amounts of data and improve efficiency and automation.
Additionally, slow system communication speeds may lead to response delays and performance deterioration. However, understanding the required capacity requires someone knowledgeable in cost-benefit analysis of IoT systems.
Securing initial costs
In order to introduce a smart factory, it is necessary to introduce various equipment such as systems, AI, IoT sensors, cloud servers, and IoT gateways. Therefore, the high initial cost for introduction is a major issue.
The cost of installation varies depending on the environment construction, the cost of necessary equipment, and the company providing the service. Therefore, it is important to clarify costs before implementation. It is important to note that smart factories require not only initial costs but also maintenance costs and other costs.

Issues that can be solved with smart factories
Factories that support the manufacturing industry face a variety of challenges. For example, troubleshooting, defective product countermeasures, lack of skilled workers, and energy conservation measures are issues that must be steadily addressed in any factory.
Due to the globalization of business and the diversification of consumer needs, customer demands have expanded to include delivery times, costs, and quality. Additionally, the competition for talented human resources is expanding beyond industry boundaries, making it increasingly difficult to secure human resources to support businesses. Under such circumstances, we must also face the problem of an aging workforce. Stable succession of technology is also an urgent issue.
Smart factories are expected to play a supporting role in solving these problems faced by the manufacturing industry.
Prediction of failure
Failure prediction is the use of IoT to monitor the status of equipment and other factory equipment, predict the probability of failure in advance, or detect areas where abnormalities are currently occurring.
In many cases, factory line monitoring is already being carried out in a typical factory. However, there are many cases where data cannot be measured because the equipment is outdated, or even if the data itself can be measured without any problems, it is difficult to manage the data because the data format is different. In such cases, the problem is that it takes a lot of effort to accurately understand the operating status and prepare for failures.
Making factories smart can solve these challenges. For example, by installing sensors equipped with IoT functions on devices, data can be aggregated regardless of whether they are new or old. By consolidating data in one place, you can centrally manage operating status. Management becomes more efficient by making it easier to understand operating rates and operating conditions, and the accuracy of failure prediction can be improved by utilizing centralized data.

Detecting defective products using image recognition
Image recognition technology is also useful for finding defective products. Traditionally, defective products have been detected through manual inspection. However, this method not only requires a lot of effort, but also has the issue of not being able to train human resources who can perform the inspection and eliminate the risk of human error. Additionally, installing equipment to detect defective products requires a large amount of cost. Dealing with defective products can be said to have continued to be a major problem for factory operations.
Using current image recognition technology, it is possible to solve these problems related to defective products. Deep learning in AI automatically detects specific patterns when a large amount of image data is loaded. By repeating this process, we have seen results such as a dramatic improvement in the accuracy of discovering patterns from image data.
This technology can also be applied to detect defective products in factories. If quality inspection is digitized, AI will be able to automatically learn from the data, and it will also be able to accumulate information on situations where defective products are likely to occur, which will be of great help in analyzing the causes.

Human resource development through remote support using VR
VR (virtual reality) technology, which enables remote operation and management, is also useful for human resource development.
Securing and developing human resources is an urgent issue for the entire manufacturing industry and factory operations. As Japan as a whole progresses toward a declining birthrate and aging population, the proportion of young people in the labor force is decreasing, and the number of middle-aged and older workers is increasing. Under such circumstances, a labor shortage has occurred, and work style reforms are being promoted to reduce working hours. Factories are faced with the challenge of how to pass on the skills of veterans and how to make effective use of their time to develop the next generation of human resources.
VR, also known as “virtual reality,” is a technology that uses goggle-type devices, cameras, and remote systems to monitor and experience the situation as if you were actually there, even if you are not there. As a related technology, a technology called “ mixed reality ” has also emerged, which allows a person wearing a goggle-type device to simultaneously see another image in addition to the reality they are currently seeing.
This has made it possible for veteran employees in remote locations to instruct new employees on tasks and provide manuals through goggles. By using the VR system, it is becoming possible to efficiently develop human resources.

Optimizing factory energy with sensors
Smart factories are also suitable for energy conservation throughout the factory. Currently, the importance of environmental awareness is being emphasized worldwide, as exemplified by terms such as “SDGs” (Sustainable Development Goals) and “ESG management” (management that takes into account the environment, society, and governance). I am. The manufacturing industry, which uses a lot of energy, is also being forced to take a clear response.
In a smart factory, the operating status and energy usage status of the factory can be visualized by utilizing IoT sensors. By managing numerically, it is possible to use energy efficiently and save energy.

Methods and tips for realizing a smart factory

Simply introducing a smart factory does not guarantee success. This chapter introduces methods to ensure smooth operation after installation.
Thoroughly visualize and accumulate data
In order to realize a smart factory, it is important to thoroughly visualize and accumulate data. Until now, in the manufacturing industry, it was common to manually manage data related to quality control and production. However, handwritten data cannot be shared in real time.
Therefore, by digitizing the necessary data, it becomes possible to visualize and accumulate it in real time.
Deploy tools for efficient analysis
For efficient analysis, it is a good idea to introduce tools. It is necessary not only to collect data, but also to analyze and utilize it. However, manually analyzing data is time-consuming and difficult.
Therefore, it is important to introduce tools that automatically create graphs to visualize data, accumulate data, and analyze it from various angles.
Set automation as the end goal
Furthermore, it is important to set automation as the end goal. Ultimately, the purpose of introducing a smart factory is to collect and accumulate data and automate the process for efficient analysis.
This allows you to generate effective data without spending time and effort on data collection and analysis. This data can be effectively utilized for future factory operations and marketing measures.

Initiatives for smart factories that are progressing around the world
Efforts toward smart factories are progressing in countries around the world.
The government of Germany, a manufacturing powerhouse in Europe, is advocating ” Industry 4.0 .” The government is promoting the development of the manufacturing industry through advanced technologies such as the IoT as an industrial revolution. The underlying idea is that the development of IoT will reduce costs and improve productivity, leading to new economic development and social structural change.
For example, as smart factories become more sophisticated, machines will not only be able to carry out human commands, but factory equipment will also be able to guide the way towards finished products themselves. The development of smart factories that can complete products without human instructions is underway.
In China, the national leadership is proposing an industrial policy called “Made in China 2025.” 23 items in 10 fields have been set to advance the manufacturing industry, including next-generation information technology (semiconductors and 5G) and new energy vehicles. We are working to strengthen our manufacturing industry with the aim of joining the world’s manufacturing powerhouses by 2025.
India also advocated “Make in India,” and announced a policy to develop the Indian manufacturing industry through foreign investment. Among these, the development of manufacturing infrastructure has been emphasized, and efforts have been made to comprehensively upgrade the manufacturing industry, including smart factories.
Summary

A smart factory is a factory that utilizes network connectivity and introduces digital technology to equipment and equipment within the factory. By creating a smart factory, you can improve productivity, eliminate labor shortages, and perform efficient data analysis.

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June 28, 2024
What is a smart factory? Explaining the advantages, disadvantages, issues, and examples!
Smart factories that make full use of IT technologies such as IoT and AI have the potential to be useful in situations such as failure prediction, defective product detection, human resource development, and energy conservation. Smart factories are one of the effective solutions to the challenges facing manufacturers in terms of factory operations. However, implementing it requires manufacturing knowledge and digital know-how. In order to introduce it, other issues such as initial cost and security must be resolved.
In this article, we will discuss the advantages and disadvantages, challenges, and tips for implementing smart factories.

What is a smart factory?
A smart factory is a factory that connects various equipment such as machine tools and production lines to a network to improve the efficiency of information management and optimize operations.
Traditional factory operations typically relied on skilled labor, highly technical staff, and experienced managers. However, factories, which support the backbone of the manufacturing industry, must constantly respond to a variety of issues. It is true that humans have limits when it comes to tackling issues such as failure detection, defective product detection, productivity improvement, and energy optimization.
Currently, in addition to the sophistication of equipment, the situation is constantly changing, such as the introduction of FA equipment (factory automation equipment) that supports automation, the spread of IoT, which refers to the Internet of Things, and the practical use of AI (artificial intelligence). . It is no exaggeration to say that all operations related to factory operations are supported by IT. It is now possible to quickly link product quality and condition, factory equipment operating status, and line information, dramatically improving capabilities.
As a result, the number of options for achieving the traditional issues of labor saving and productivity improvement has increased. With the introduction of smart factories, it is becoming easier to address pressing issues such as dealing with labor shortages and saving energy.

[Advantages] 5 reasons why you should work on a smart factory

This chapter introduces five benefits that can be gained by implementing a smart factory.

Can solve the shortage of human resources
Japan is experiencing a declining birthrate and aging population, and it is predicted that there will be a chronic labor shortage in the future. In the manufacturing industry, it is necessary to create an environment where even the elderly can work comfortably and to recruit human resources.
Labor savings can be achieved by automating tasks that were previously done manually. Furthermore, by having robots perform tasks that require physical strength, it will be easier to create an environment in which skilled seniors can work comfortably. It is predicted that the declining birthrate and aging population will continue in the future, so the introduction of smart factories can be expected to be effective in the long term.
Can promote work style reform
The introduction of smart factories will also lead to the promotion of work style reform . As the needs of workers continue to diversify and the working population continues to decline due to the declining birthrate and aging population, work style reforms are being promoted with the aim of reducing working hours and improving productivity in order to solve these issues. I am.
Its introduction can be expected to improve productivity and improve management efficiency in many manufacturing companies, which may lead to the promotion of work style reforms. Since it responds to the diversifying needs of workers, it can be said that it can be expected to improve employee satisfaction.
Technology can be inherited for a long time
Japan’s manufacturing industry has continued to make strides with its high technological capabilities, but the current situation is that technology has not been passed down. By using smart factories, you can collect know-how and skills as data. By using the collected data to create manuals and standardize work, it becomes easier to transfer technology smoothly.
By making it easier to inherit technology, there is also the benefit of smoother business succession, allowing advanced technology to be passed on to the next generation. Another feature is that by digitizing know-how and experience, it becomes easier to share it with the next generation.
You can promote your efforts towards SDGs.
This will also help promote your efforts towards the SDGs. SDGs (Sustainable Development Goals) are sustainable development goals that were unanimously adopted at the United Nations Summit in 2015. Since the Japanese government and many companies are also working on this, it is one of the elements that we would like to use as material for our appeal.
Smart factories can be said to be a response to the SDGs because they can monitor energy usage and prevent wasteful energy use.
Leads to cost reduction
Working towards smart factories will lead to cost reductions. Since defects in factory equipment can be identified, defective products can be reduced, and material costs can be expected to be reduced.
In addition, it will be possible to visualize the status of the production line and link data such as customer data, which will reduce the burden on employees and reduce labor costs.
By introducing this system, you can expect cost reductions, including material costs and labor costs.

[Disadvantages] Issues that arise when working on smart factories and how to deal with them

While smart factories have many benefits, they can also come with challenges. From here, we will explain the four main issues and how to deal with them.

Securing digital human resources
It is important to secure digital human resources in order to work on smart factories. Since knowledge and know-how in introducing and utilizing digital technology are required, human resources cannot be developed immediately. Furthermore, since know-how in manufacturing technology is required, it is common to proceed with training by introducing experts, IT vendors, etc.
Japan is experiencing a declining birthrate and aging population, making it more difficult than ever to secure human resources. Therefore, there are many cases where smart factories cannot be introduced due to a lack of human resources.
Enhanced security
Strengthening security is important in these efforts. It is common to handle large amounts of data, but this data is often important confidential information for companies, and if it is leaked, it will cause great damage.
In recent years, external threats such as unauthorized access and malware infection have increased the risk of data leaks. Therefore, a strong security model is essential for operating a smart factory.
Network system capacity issues
For deployment, network system capacity criteria must be met. If an IoT system does not have a certain amount of network system capacity, it will not be possible to collect huge amounts of data and improve efficiency and automation.
Additionally, slow system communication speeds may lead to response delays and performance deterioration. However, understanding the required capacity requires someone knowledgeable in cost-benefit analysis of IoT systems.
Securing initial costs
In order to introduce a smart factory, it is necessary to introduce various equipment such as systems, AI, IoT sensors, cloud servers, and IoT gateways. Therefore, the high initial cost for introduction is a major issue.
The cost of installation varies depending on the environment construction, the cost of necessary equipment, and the company providing the service. Therefore, it is important to clarify costs before implementation. It is important to note that smart factories require not only initial costs but also maintenance costs and other costs.

Issues that can be solved with smart factories
Factories that support the manufacturing industry face a variety of challenges. For example, troubleshooting, defective product countermeasures, lack of skilled workers, and energy conservation measures are issues that must be steadily addressed in any factory.
Due to the globalization of business and the diversification of consumer needs, customer demands have expanded to include delivery times, costs, and quality. Additionally, the competition for talented human resources is expanding beyond industry boundaries, making it increasingly difficult to secure human resources to support businesses. Under such circumstances, we must also face the problem of an aging workforce. Stable succession of technology is also an urgent issue.
Smart factories are expected to play a supporting role in solving these problems faced by the manufacturing industry.
Prediction of failure
Failure prediction is the use of IoT to monitor the status of equipment and other factory equipment, predict the probability of failure in advance, or detect areas where abnormalities are currently occurring.
In many cases, factory line monitoring is already being carried out in a typical factory. However, there are many cases where data cannot be measured because the equipment is outdated, or even if the data itself can be measured without any problems, it is difficult to manage the data because the data format is different. In such cases, the problem is that it takes a lot of effort to accurately understand the operating status and prepare for failures.
Making factories smart can solve these challenges. For example, by installing sensors equipped with IoT functions on devices, data can be aggregated regardless of whether they are new or old. By consolidating data in one place, you can centrally manage operating status. Management becomes more efficient by making it easier to understand operating rates and operating conditions, and the accuracy of failure prediction can be improved by utilizing centralized data.

Detecting defective products using image recognition
Image recognition technology is also useful for finding defective products. Traditionally, defective products have been detected through manual inspection. However, this method not only requires a lot of effort, but also has the issue of not being able to train human resources who can perform the inspection and eliminate the risk of human error. Additionally, installing equipment to detect defective products requires a large amount of cost. Dealing with defective products can be said to have continued to be a major problem for factory operations.
Using current image recognition technology, it is possible to solve these problems related to defective products. Deep learning in AI automatically detects specific patterns when a large amount of image data is loaded. By repeating this process, we have seen results such as a dramatic improvement in the accuracy of discovering patterns from image data.
This technology can also be applied to detect defective products in factories. If quality inspection is digitized, AI will be able to automatically learn from the data, and it will also be able to accumulate information on situations where defective products are likely to occur, which will be of great help in analyzing the causes.

Human resource development through remote support using VR
VR (virtual reality) technology, which enables remote operation and management, is also useful for human resource development.
Securing and developing human resources is an urgent issue for the entire manufacturing industry and factory operations. As Japan as a whole progresses toward a declining birthrate and aging population, the proportion of young people in the labor force is decreasing, and the number of middle-aged and older workers is increasing. Under such circumstances, a labor shortage has occurred, and work style reforms are being promoted to reduce working hours. Factories are faced with the challenge of how to pass on the skills of veterans and how to make effective use of their time to develop the next generation of human resources.
VR, also known as “virtual reality,” is a technology that uses goggle-type devices, cameras, and remote systems to monitor and experience the situation as if you were actually there, even if you are not there. As a related technology, a technology called “ mixed reality ” has also emerged, which allows a person wearing a goggle-type device to simultaneously see another image in addition to the reality they are currently seeing.
This has made it possible for veteran employees in remote locations to instruct new employees on tasks and provide manuals through goggles. By using the VR system, it is becoming possible to efficiently develop human resources.

Optimizing factory energy with sensors
Smart factories are also suitable for energy conservation throughout the factory. Currently, the importance of environmental awareness is being emphasized worldwide, as exemplified by terms such as “SDGs” (Sustainable Development Goals) and “ESG management” (management that takes into account the environment, society, and governance). I am. The manufacturing industry, which uses a lot of energy, is also being forced to take a clear response.
In a smart factory, the operating status and energy usage status of the factory can be visualized by utilizing IoT sensors. By managing numerically, it is possible to use energy efficiently and save energy.

Methods and tips for realizing a smart factory

Simply introducing a smart factory does not guarantee success. This chapter introduces methods to ensure smooth operation after installation.
Thoroughly visualize and accumulate data
In order to realize a smart factory, it is important to thoroughly visualize and accumulate data. Until now, in the manufacturing industry, it was common to manually manage data related to quality control and production. However, handwritten data cannot be shared in real time.
Therefore, by digitizing the necessary data, it becomes possible to visualize and accumulate it in real time.
Deploy tools for efficient analysis
For efficient analysis, it is a good idea to introduce tools. It is necessary not only to collect data, but also to analyze and utilize it. However, manually analyzing data is time-consuming and difficult.
Therefore, it is important to introduce tools that automatically create graphs to visualize data, accumulate data, and analyze it from various angles.
Set automation as the end goal
Furthermore, it is important to set automation as the end goal. Ultimately, the purpose of introducing a smart factory is to collect and accumulate data and automate the process for efficient analysis.
This allows you to generate effective data without spending time and effort on data collection and analysis. This data can be effectively utilized for future factory operations and marketing measures.

Initiatives for smart factories that are progressing around the world
Efforts toward smart factories are progressing in countries around the world.
The government of Germany, a manufacturing powerhouse in Europe, is advocating ” Industry 4.0 .” The government is promoting the development of the manufacturing industry through advanced technologies such as the IoT as an industrial revolution. The underlying idea is that the development of IoT will reduce costs and improve productivity, leading to new economic development and social structural change.
For example, as smart factories become more sophisticated, machines will not only be able to carry out human commands, but factory equipment will also be able to guide the way towards finished products themselves. The development of smart factories that can complete products without human instructions is underway.
In China, the national leadership is proposing an industrial policy called “Made in China 2025.” 23 items in 10 fields have been set to advance the manufacturing industry, including next-generation information technology (semiconductors and 5G) and new energy vehicles. We are working to strengthen our manufacturing industry with the aim of joining the world’s manufacturing powerhouses by 2025.
India also advocated “Make in India,” and announced a policy to develop the Indian manufacturing industry through foreign investment. Among these, the development of manufacturing infrastructure has been emphasized, and efforts have been made to comprehensively upgrade the manufacturing industry, including smart factories.
Summary

A smart factory is a factory that utilizes network connectivity and introduces digital technology to equipment and equipment within the factory. By creating a smart factory, you can improve productivity, eliminate labor shortages, and perform efficient data analysis.

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June 28, 2024