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What is agritech, which is responsible for the future of agriculture? Explaining the background and merits of attention

There are concerns about the decline of domestic agriculture due to an aging population and a lack of successors, and agritech which combines agriculture and technology, is attracting attention as a means to solve this problem.

Agritech is being used around the world to successfully improve agricultural efficiency and increase production. In this article, we will introduce agritech and the initiatives of each company, so let’s deepen our understanding so that we can stay up to date with the times.

What is “agritech” that combines agriculture and technology?

Here, we will introduce what agritech is, which combines agriculture and technology, which is attracting attention.

Differences with smart agriculture

“Agritech” refers to technology that promotes IT in agriculture using ICT technologies such as AI, big data, and IoT , and is a coined word that combines agriculture (agriculture) and technology (technology). . Agritech is a term mainly used overseas; in Japan, it is synonymously referred to as high-tech agriculture or smart agriculture.

Domestic market size

The domestic agritech market size is expanding year by year, and according to the Fuji Keizai Group, the market size in 2018 was 69.8 billion yen, and is expected to exceed 100 billion yen in 2030.

Since it is a relatively new market, there are few barriers to entry, and not only large companies but also start-up companies and venture companies are participating, so it can be said that it is a promising industry with a bright future.

Reasons why agritech is attracting attention in Japan and social issues

What is agritech, which is responsible for the future of agriculture? Explaining the background and merits of attention

One of the reasons why agritech is attracting attention in Japan is that Japan’s food self-sufficiency rate is low. Japan’s food self-sufficiency rate in 2020 was low at 37%, and it is clear that Japan relies on imports from overseas. As a result, there is no guarantee that we will be able to continue to secure a stable supply of food, as we are greatly affected by the situation and trade relations in importing countries.

There are also challenges in the environment surrounding domestic agriculture. The aging of farmers and the lack of successors are also a problem, but if techniques are not passed on, there is a possibility that Japan’s agricultural technology will continue to decline. As a result, the introduction of agritech in Japan has begun little by little.

Agritech’s main initiatives

We will introduce the main initiatives related to agritech, which is attracting attention not only in Japan but also around the world.

Spraying pesticides by drone

By using small agricultural drones to spray pesticides from the sky, you can improve the efficiency of agricultural work. Previously, pesticides were manually sprayed using machines, but by operating a drone and automatically spraying pesticides, it is now possible to spread pesticides over a wide area in a short period of time. At the startup company BioC ar bon Engineering, one person operated six drones at the same time and successfully planted mangroves in Myanmar.

Monitoring and management using IoT devices

Using IoT devices, it is possible to monitor and manage livestock and crops.

For example, by monitoring the daily behavior of livestock using AI cameras, it is possible to notice minute changes in physical condition and provide the necessary care in a timely manner. Similarly, for agricultural products, there is a function that automatically notifies you of the harvest time based on the growth status, and a function that links environmental information such as temperature, humidity, and sunlight hours with harvest results, and proposes the optimal growing method according to the situation. It can also be applied to other functions.

Unified supply chain management using blockchain

Through quality control using blockchain technology, we can centralize supply chain management and provide safe and secure agricultural products. Today’s supply chains are becoming more diverse and complex, and ensuring traceability to prove the safety of agricultural products is an issue.

Therefore, blockchain technology used for crypto assets such as Bitcoin is attracting attention. In blockchain technology, each block is linked by a chain, making it difficult to tamper with the data, making it possible to prove the transparency of agricultural products.

Big data analysis

By performing big data analysis using AI, it is possible to quantify the invisible know-how of experts. This makes it possible to grasp the harvest timing based on the growth status of crops and to take appropriate measures against pests, which can be used to pass down techniques to successors.

Advantages of introducing agritech

What is agritech, which is responsible for the future of agriculture? Explaining the background and merits of attention

The introduction of agritech has the potential to transform agriculture, which until now had a strong analog image, into a high-tech industry, and to greatly improve the way people work. Here, we will introduce the benefits of introducing agritech.

Improving agricultural efficiency and increasing production

One of the benefits of introducing agritech is improving the efficiency of agricultural work and increasing production. The reason is that with the introduction of agritech, agricultural tasks that were previously done manually, such as sowing seeds, spraying pesticides, and harvesting, can be performed by drones and robots, making it possible to perform a wide range of tasks in a short period of time.

Furthermore, by using the free time gained from this process to improve varieties, it has the potential to lead to the creation of new varieties.

Facilitation of new entry through digitalization

By introducing agritech and visualizing the know-how of experienced workers as data using AI, it is possible to create an environment that is easy for new entrants, such as young people who want to start farming, to enter the industry.

The know-how of experts is often passed on orally or through actual experience, and there is no guarantee that the know-how will be accurately transmitted. Furthermore, as the population continues to age, it is unlikely that people will be able to continue working until they have inherited all of their skills, so it is important to reduce the barriers to new entry by converting know-how into data using AI. .

Reduction of working hours and burden

One of the reasons why the number of farmers is decreasing is that there is an established image that farming is difficult due to various factors such as physical strength and weather. Therefore, by using agritech to have drones and robots perform agricultural work on behalf of farmers, it is possible to reduce labor hours and reduce the burden. One of the appeals of this is that you can use the free time you get to work on a side job or use it on your days off, giving you freedom in how you work.

Realizing new ways of working

Agriculture has an established image of hard labor, long hours, no days off, and demanding farm work, but by introducing agritech, it is possible to realize new ways of working that have never existed before.

Using IoT, it is possible to remotely monitor crops, and it is also possible to know the growth status of crops and the timing of harvest even when you are away from home. If this happens, you won’t have to visit the site every day.

Disadvantages of introducing agritech

What is agritech, which is responsible for the future of agriculture? Explaining the background and merits of attention

So far, we have introduced the benefits of introducing Agritech, but when considering implementing Agritech, it is important to understand the disadvantages as well.

Initial cost is high

One of the disadvantages is the high initial cost of installing drones, robots, and monitoring systems.

However, if you take a long-term view, you can expect significant improvements in work efficiency and increased production, so considering it as an initial investment, it cannot be said to be a disadvantage. Please make a medium- to long-term plan and consider implementing it in order to receive these benefits.

Difficulties in securing and training skilled human resources

Agritech uses AI and IoT to improve agriculture, but users are also required to have knowledge and understanding of AI and IoT.

The difficulty of securing and training human resources with skills related to these ICT technologies is an issue, and agricultural machinery manufacturers and ICT vendors are working to develop products that are easy to use even without special skills.

Lack of compatibility with software, etc.

Since agritech uses relatively new technology, there is a problem with poor compatibility of software between devices.

Even if you try to link devices from different manufacturers, they may not be able to work together because the interface specifications for exchanging data are different. In the future, this problem may be resolved as standards are developed, but it will not be resolved overnight, and I think it will take some time.

Companies and organizations that utilize domestic agritech

What is agritech, which is responsible for the future of agriculture? Explaining the background and merits of attention

Here we will introduce companies and organizations that utilize agritech in Japan.

Agricultural data sharing demonstration project implemented in Niigata City, Niigata Prefecture

Niigata City is working to improve the efficiency of agricultural work and change the image of agriculture by using agritech.

Implementing agritech has been a challenge, such as high initial costs and the need for special skills. For this reason, Niigata City is implementing an agricultural data sharing demonstration project. By sharing agricultural data among multiple farmers, we have succeeded in improving productivity and production volume through data-based management decisions.

“Yanmar” utilizes in-house developed agricultural machinery

Yanmar Holdings Co., Ltd. is developing its own agricultural robot called Agrobot. As of November 2022, this has not yet been realized, but our goal is to develop a robot that can automatically perform tasks tailored to the local environment.

However, there are some robots that are already in practical use. A robot tractor is an agricultural robot that can automatically turn and work automatically by operating a tablet remotely. Agrobots aiming for complete automation may also become a reality in the near future.

“Midori Cloud” provides field monitoring system

Midori Cloud uses IT to measure and record the field environment and work, and converts it into data, making it possible to accumulate experience and share know-how by visualizing agricultural work.
Farmers’ sense and experience are important in agriculture, which requires dealing with an uncertain environment. At Midori Cloud, by visualizing this using IT, we have been able to improve the efficiency of agricultural work and increase production.

AGRI SMILE’s business goal is to pass on agriculture to the next generation

With AGRI SMILE’s service, by centrally managing and evaluating cultivation data, you can utilize the feedback for your next cultivation. We are also developing a service that allows cultivation techniques to be shared as VR videos, making it possible to pass them on to the next generation.

Companies and organizations that utilize overseas agritech

What is agritech, which is responsible for the future of agriculture? Explaining the background and merits of attention

Agritech is attracting attention not only in Japan but also overseas. Here we will introduce companies and organizations that utilize agritech overseas.

Growing tomatoes in seawater “Sundrop Farm (Australia)”

South Australia has dry land that stretches all the way to the coast under harsh sunlight. Sundrop Farm was created by focusing on an environment where large quantities of seawater, which is unsuitable for agriculture, can be secured.

By distilling seawater using solar energy collected using specular reflection, we succeeded in securing a large amount of fresh water. We use this fresh water to grow tomatoes.

Agrobot (Spain) develops a harvesting robot

Agrobot is a company based in Spain that develops “strawberry harvesting robots”. Using a sensor at the tip of the robot, it not only determines when to harvest strawberries based on their ripeness, but also automatically harvests the strawberries.

In-house crop management and hydroponic cultivation “Plenty (USA)”

Plenty is a company that specializes in hydroponic cultivation, and grows kale and lettuce in-house. By managing crop data and controlling the amount of water and minerals, it is possible to adjust the flavor. Another feature is that the amount of water required for cultivation is about 1/20 of that of regular outdoor cultivation, contributing to water conservation.

The future of agritech

What is agritech, which is responsible for the future of agriculture? Explaining the background and merits of attention

The future of agritech, which is expanding its market size, is bright as a savior for domestic agriculture, which is facing concerns about accelerating decline in agriculture due to the aging population and lack of successors.

Efforts to utilize agritech are becoming more popular not only in Japan but also overseas, and it will not be long before we see fully automated robots doing farming in place of farmers. The industry is in a period of growth, so let’s keep an eye on future trends.

Summary

What is agritech, which is responsible for the future of agriculture? Explaining the background and merits of attention

So far, we have introduced agritech. In Japan, it is often referred to as smart agriculture, and although it is a technology that is attracting a lot of attention around the world, I think that few people understand it accurately.
Through this article, let’s deepen our understanding of agritech and pay attention to trends in agritech that are likely to attract more and more attention in the future.

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July 2, 2024

What is FileMaker? Easy-to-understand explanation of basic knowledge and what you can do

Companies need “database management software” to manage huge amounts of data.
Among the many management software, do you know “FileMaker” provided by Apple’s subsidiary Claris International Inc., which is easy to operate without IT expertise?
This time, I will explain the basic knowledge of FileMaker and how to install it in an easy-to-understand manner.

What are a database and low code?

In the first place, a database is a “collection of collected data”. The tools and software that manage this collected data are called database management systems. In the modern IT society, the amount of information handled by companies such as customer information, order history, and employee lists tends to be enormous, and it is difficult to manage without creating a database of information.

If you use database management software, you can easily extract detailed data such as “I want to extract only customers in Tokyo from the list” and “I want to check last year’s order history in order of sales”. To put it simply, it is a database that can manage multiple data at once, even for lists and lists created with “Excel”, which is familiar as spreadsheet software. To give an analog example, a paper telephone directory or a job information magazine can be said to be a database of telephone numbers and job information.

In addition to being used in system and application development, this database may also be used to analyze collected data for sales strategy planning and marketing. There are many database management software that boasts a high share of the world, such as “Oracle database”, which has excellent extensibility, and “MySQL”, which is also used to build search engines.

However, when dealing with such a database, in addition to learning the SQL language, VB.NET, HTML, PHP language, etc. necessary for designing the user’s operation screen (UI), as well as automatic processing (automatic processing ( You can run an application only after learning advanced programming languages such as Java and C # for building scripts). Programming is also called coating because developers write code so that they can understand it on their computers. If the language used by professional developers is expressed as pro code, the tool for coding with almost no programming language, that is, mouse operation (drag and drop) or creating an application with general keyboard operation is a low code tool. A tool that completes an application without writing any code is a no-code tool.

The low-code and no-code concepts help people in the field who are familiar with the field of business to create applications that contribute to their achievements. For example, at one airline, active pilots have created low-code applications for proper training and screening, and more than 2,000 pilots are working on safe operations using iPads. In addition, doctors have created a questionnaire app for their clinical department, and visitors can enter it on their iPads to achieve paperless operations.

What is FileMaker?

FM is a database management system developed by Claris International Inc., a subsidiary of Apple. Although it is software with a long history released in 1985, it is still being upgraded even in the present age of Reiwa, and it is used by more than 200,000 organizations in Japan, and its popularity can be seen. Similar to other systems, it can store and manage the collected data, but FM has the feature of being “easy to operate” among many systems and has a good reputation as the best database management system for beginners.

FM is suitable for beginners because it requires “less expertise”. For example, even if you create an application form based on the data prepared in Excel and publish it to the outside for input from a mobile terminal, you can simply operate the mouse and keyboard without programming (coding). It is possible to complete it. This is called no-code development.

You can also use FM functions and scripts to automatically display your address when you enter a zip code, automatically enter katakana when you enter Chinese characters, and automatically display your age from your date of birth with minimal coding. You can also do it. This is low code development.

Furthermore, by using FM and development languages, such as linking with tools such as SNS, linking with programs such as AI (artificial intelligence) and machine learning, and linking with FM using JavaScript, which is the development language, Professional developers can also complete their apps faster.

Many of the database management systems mentioned above, such as Oracle and MySQL, operate using a special language called the “database language” to operate system. In addition, developing applications using databases requires knowledge of programming languages such as Java and PHP, as well as coding skills. To put it simply, you can’t run a database management system such as Oracle or MySQL without the expertise and skills.

Even in a database management system that tends to give such a difficult impression, there is no need for a database language or programming language to operate FM. You can build a database or system with just intuitive mouse operation and Japanese input.

What you can do with FileMaker

Customer list
Customer number	Company Name	address	Department in charge
001	〇〇 Co., Ltd.	Tokyo City	System Development Department
002	△△ transportation	Osaka Prefecture △△ City	System Development Department
003	□□ Products	Kanagawa Prefecture □□ Town	Production department
004	XX Mfg. Co., Ltd.	Akita Prefecture XX Village	Production department

FM falls into the category of “relational databases” within databases. This is a database management system that uses columns (columns) and rows (records) as shown in the figure, and has the feature that “it is easy to manage and extract the input data”. Since it is easy to add information after creating the database, it is suitable for developing business systems and mobile applications that are frequently updated and used daily.

“Personnel management system” that performs personnel evaluation and labor management
“Budget management system” that manages expenditures and expenses for each department
“Customer management system” that organizes business negotiations and company products together with customer information
“Inventory management system” to check inventory status and delivery status in real-time from outside

In recent years, on-premises used in-house and systems in the cloud environment are increasingly coexisting, but FM is also useful in hybrid environments where both are used. Some people may wonder, “Is Excel enough?” If you simply create a database for management, but with Excel, the more management items and data volume, the more complicated the input and output of data. It will be easier. As a result, it tends to be a difficult database to handle, such as saving old and new files on a personal terminal and not being able to access them at the same time by multiple people.

In that respect, FileMaker can set detailed processing methods such as “import conditions” and “output conditions” for data. You can also synchronize master data with various related apps in real-time. For example, if you change the employee information in the master, it can be automatically reflected in the personnel system, expense settlement, customer management system staff, inventory management system staff, etc., and can be managed collectively. In addition, if you set permissions, even when accessing from outside, a limited number of people can access only limited information, and there is no worry about data leakage. If it’s a simple database, Excel will suffice, but using FileMaker will make it easier to create a database that meets your detailed needs.

Benefits of deploying FileMaker in your enterprise

Databases and systems created with FileMaker can be shared by multiple people, so it’s not difficult to use the same database within a department or team. If a company that does not have an IT professional such as an engineer or a programmer realizes DX (digital transformation), we recommend FileMaker, which has excellent no-code and low-code development, free screen design, and high operability. increase.

In addition, FileMaker is a database compatible with multiple devices that can be operated on Windows, Mac, web browsers, iPads, and iPhones. Even data saved in multiple file formats such as CSV and XML can be automatically imported by building a scheduler with FileMaker, making it an ideal database for companies seeking a seamless development environment. You can say that.

In addition, FileMaker also has a function that can be linked with Web APIs such as “Google”, which is useful when you want to develop a management system using an external Web application that is difficult to realize with Excel. In addition, FileMaker provides templates for each database such as “employee information” and “invoice”, so you can easily create a database or system just by entering items. Another advantage of FileMaker that Excel does not have is that it is easy to reduce the man-hours and costs required for production.

What are the disadvantages of FileMaker?

Although FileMaker has a low technical threshold and a reputation for high operability, it often requires specialized knowledge and skills to make minor modifications to the completed database and system. Also, compared to other databases, FileMaker has the disadvantage of slow processing speed, such as when processing millions of records, so system development that requires responsiveness such as convenience store POS systems and bank ATMs. It is also unsuitable for building a website that is accessed by thousands of people at the same time.

Low-code development tools for companies located in industries where the business environment is changing drastically, organizations that cannot decide the completed model at the development stage and proceed with agile development through repeated trial and error, and companies that require development speed. It is also a good idea to adopt FileMaker as a tool.

With FileMaker, developers can accelerate and accelerate the development process that reflects user feedback. In the case of the United States, companies that are no longer busy with development can think about ways to solve their problems in a short period, spend time creating innovation, and even months. It seems that some companies develop with FileMaker and perform user tests before starting production development with Oracle etc., which requires a development period, and absorbs the feedback.

Main types of FileMaker

type	Features
FileMaker Pro	Basic development and client system running on Windows / Mac
FileMaker Server	Dedicated server software for publishing FileMaker data
FileMaker Go	A system for operating FileMaker on iPad and iPhone
FileMaker Cloud	FileMaker that can be operated on the Internet (cloud)
FileMaker WebDirect	Ability to run the created database on a web browser

Another feature of FileMaker is that you can create one app and use it in various environments and devices. You don’t have to make them separately for Mac, Windows, iPhone, etc. App development is done in FileMaker Pro. If you want to use it on your iPad, use Filemaker Go, which is free to download, and if you want to share it with multiple people, use Filemaker Cloud or Filemaker Server. If you want to operate with a web browser or Android device, use WebDirect.

How to deploy FileMaker in-house

FileMaker can download the system from the official website, but you need to register your name, phone number, email address, etc. from the input form. When deploying FileMaker in a company, enter the company name (or organization name) and the number of employees. Claris, which releases FileMaker, is an American company, but you can input Japanese on the official website, so you will not have any trouble getting the system.

[Reference] Single license purchase site: https://store.claris.com/individuals
Volume license estimation site: https://sales.claris.co.jp/v19/index.php

	Essentials plan	Standard plan
Monthly usage fee (1 user)	$19.99	$40
A user	5-10 users only	5 to 99 users
Maximum number of shared apps	3	125
storage	2 GB per year (1 user)	6 GB per year (1 user)
API usage	2 GB per month
upgrade	Impossible	Possible
Compute	2CPU, 8GB memory	Varies according to the number of users

How to purchase Claris FileMaker

You can use FileMaker for free for 45 days, so it’s a good idea to consider a full-scale introduction after trying out the usability. If you want to continue using it after the free period, you will have to select the above plan before making a contract. Make sure to choose a plan according to the size of the company and the number of people. By the way, if you install FileMaker individually, you will purchase the usage right in the form of a single license, but since the fee changes depending on the purchase or upgrade, please check the official website of FileMaker for details. ..

It’s undeniable that FileMaker has a minor image when compared to well-known databases such as Oracle and MySQL. However, FileMaker continues to be upgraded even in the modern age of Reiwa, and features have been added and refurbished. Nowadays, the image of “database for beginners” is being dispelled, and many companies are adopting FileMaker as a development environment because of its excellent operability.

There are many low-code development tools out there, but if you don’t choose the right low-code platform for yourself, it can be more costly. There are many tools with simple functions and low prices, but there is a possibility that the necessary functions will be insufficient during development and it will hinder the execution of the project and the realization of DX that should be the original purpose only for digitization. , It may not be possible to pursue efficiency. If so, choose a platform that continues to evolve in functionality.

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June 5, 2024

What is “image analysis”? Easy-to-understand explanation of the mechanism and specific uses

Recent technological improvements have made it possible to handle image analysis to a high level.
For example, human face authentication is at a level that is also used for immigration at airports.
In the first place, what kind of technology can image analysis be? And we will introduce examples of how it is used in multiple industries.
We will explain all the advantages and disadvantages that you should know when considering the introduction.

What is image analysis?

Image analysis is a system in which a computer makes various decisions after an image is acquired using a sensor such as a camera. It also uses the recognition technology installed in the computer to understand the contents of the image, enabling information extraction and data conversion. The image is to recognize the characteristics of an object in image data such as photographs and videos, and to “mechanically determine what kind of object it is.”

For example, when a human sees an apple, he or she comprehensively looks at the shape, color, size, etc., and determines that this is an apple. The reason why we can make that distinction is that there are many judgment factors such as knowledge, perception, and memory that human beings have accumulated so far. Taking apples as an example, the following points will help you make a decision.

“It has a shape close to a sphere”
“The color is red or blue (green)”
“It’s about the size of a baseball ball or a shot put the ball.”
“There are dents at the top and bottom”
“It has a calyx”

Image analysis performs this kind of information processing that humans naturally do on a computer. The computer that captured the image as data extracts the characteristics of the object and determines “what is reflected in the image?”. Technologies that are used in our daily lives include fingerprint recognition systems for smartphones and face recognition systems installed in digital cameras. Some digital cameras even have a smile detection function. With similar technology, “video analysis” that analyzes video is also advancing. Both refer to processing and analyzing images and videos with a computer to retrieve useful information.

Why image analysis is needed

There is a limit to the amount that can be visually diagnosed by the human eye, and it is impossible to analyze a large amount of image data instantly. On the other hand, continuing a lot of work is a specialty of computers. For image analysis, all you have to do is apply the captured image or video to the AI analysis engine.

In the modern age of Rewa, where the promotion of telework and paperless operations is remarkable, there are increasing opportunities to handle images and videos in many businesses. Being able to perform a large amount of image analysis faster than humans and draw conclusions is a great business advantage. Below, we will introduce the image analysis mechanism in an easy-to-understand manner.

image analysis

How is image analysis performed?

Image discrimination on a computer is a very sophisticated and complex process. This is because mathematical methods are required from object extraction to data arithmetic processing and final discrimination, without relying on the feeling of appearance and smell like human beings. In short,

Extracting objects
Arithmetic processing of extracted pixel data
Discrimination based on calculation results

It is a mechanism that the image is analyzed through the procedure such as.

To explain these procedures in order, after acquiring the image data of the object, “image processing/extraction” is performed to make it easier to recognize mechanically. The procedure for image processing/extraction is as follows.

Remove noise and distortion from the image
Adjust brightness and color
Emphasize the outline of the object
Extract the area of the object and distinguish it from the background
Extract image data of an object in pixel units

Once you know what is in the image, the next step is to identify “what is the data of the extracted object”. This is the process of “judging an object from accumulated memories and experiences” when compared to humans. A computer is trained in advance with a large amount of “image data” and “labels (information about what the image data represents)”, and the object is identified from the information.

Nowadays, by combining it with AI technology (deep learning), it has become possible to discriminate images with higher accuracy. Technologies that combine image discrimination and deep learning include:

Object recognition: Determines whether or not there is a specified object in space
Face recognition: Identify an individual from the faces in the image
Character recognition: Identifies characters are written on blog articles and YouTube thumbnails

With the development of AI, the accumulation and analysis of vast amounts of image data have progressed, and these are widely used not only at manufacturing sites but also in the fields of medicine and agriculture.

When is image analysis used?

From here, we will introduce examples of image analyses that are already active in various industries and businesses.

● “Inspection of products flowing on the production line” in the manufacturing industry

An image discrimination system can be used to label products flowing on conveyors. Labeling work performed manually has uneven accuracy and speed, and it tends to be difficult to allocate personnel according to the production volume. Therefore, by entrusting the process of checking the product with the robot and the image discrimination system and labeling the product in the correct position, it becomes easier to achieve quality averaging while greatly improving the work speed.

In addition, the beer bottles for recycling collected at the beer factory are checked by human eyes for cracks, and this visual system can also reduce labor costs. The use of image analysis is expanding in the manufacturing industry, such as the adoption of a system that automatically repels bottles in poor condition by photographing and analyzing beer bottles.

● “Pathological examination” to analyze X-rays and CT scans

At medical institutions and clinical laboratory centers, incorporating AI analysis into pathological diagnosis and examination will improve work efficiency and reduce the labor burden. The act of counting cells in a pathological test tends to be laborious. However, image analysis systems have evolved to complete within seconds. Complex analysis is possible, such as detecting objects that meet the conditions and not including unnecessary parts in the count results.

● “Detection of suspicious persons” at commercial facilities and event venues

Image analysis and video analysis systems are also expanding into the field of security. It is now possible to identify and track people in a space where many people gather.

For example, you can quickly narrow down similar people from camera images of a large number of people simply by specifying the characteristics (clothes, baggage) of the person to be monitored. Video analysis is better than human power to quickly check the accumulated camera images. In addition, you can track the behavior by identifying the position and time of the camera in which the target person was shown. Depending on the combination with an external system, it is possible to seamlessly receive and track alerts indicating that suspicious persons/objects have been detected.

The “face recognition system” that utilizes the human face itself is also being used more and more. Face authentication is one of biometric authentication and is a system that identifies and authenticates the person by extracting the face part from the image and collating it with the database. Faces are especially difficult to duplicate and forge, so they have come to be used in the field of security. The use of face recognition systems is expanding to various fields, from the use of smartphone apps to the security of financial systems and anti-terrorism measures.

The mechanism of the face recognition system and its advantages over conventional security will be explained in detail in the following articles.

■ Enhanced security with a face recognition system! Utilization of face path that spreads by improving accuracy

In addition to this, it can also be used for technical purposes such as extracting photos of our products from SNS posts and using them for marketing. If the analysis technology is further advanced, the range of applications is likely to expand, and image analysis is a field with future potential.

In addition, image analysis systems are increasingly being adopted from the perspective of crime prevention. A system is in operation that registers the data of a person with a criminal record in a computer in advance and constantly checks whether the person appears in the installed security camera. It is expected that this system will become more widespread to deter crime, such as strengthening anti-terrorism measures.

Benefits of introducing image analysis

Advantages and disadvantages of introducing image analysis into your business
merit	Demerit
Leading to an improvement in the working environment	Costs are incurred for the introduction of equipment such as cameras and monitors
It will be easier to improve work efficiency and reduce labor costs.	There are few image analysis apps and software that can be used for business

There are two advantages to introducing image analysis.

● It leads to improvement of working environment

By combining image discrimination equipment with robots or systems, automation of the production process (FA) can be promoted. Speaking of inspection work, it is possible to inspect products without human hands by incorporating a program that removes or moves products using a robot arm in conjunction with an error in the image discrimination device. The system is free of fatigue, injury, and illness, so you can operate for long periods or work in dangerous locations without any problems. It will be easier for people to create a safe working environment, such as preventing long working hours and work-related accidents in dangerous areas.

● It will be easier to improve work efficiency and reduce labor costs.

Image analysis using a computer can detect small scratches and shape differences that are overlooked by the human eye. The information that can be processed by the human eye is limited, and there is a limit to preventing quality fluctuations due to individual skill differences and fatigue, but AI’s image analysis system can solve these problems. It is also possible to prevent oversights and false positives due to human error and to support high-speed lines, improving the accuracy of inspection work. The labor and personnel required for the work can be reduced, resulting in cost reduction.

Disadvantages of introducing image analysis

On the other hand, the introduction of image analysis also has its disadvantages.

● Costs will be incurred for the introduction of equipment such as cameras and monitors

With a high-performance image analysis system and high-resolution images, it is possible to find small things that cannot be found visually. However, it is costly to introduce such a high-precision system, so there is a disadvantage that it is not easy for companies with limited budgets.

● There are few image analysis apps and software that can be used for business.

When introducing an image analysis system in a company, choosing a system with the performance required for the business can balance the cost and the result. However, image analysis systems are not diverse, and it is difficult to find apps and software that fit your business and needs. There is a possibility that various systems will become widespread in the future, but image analysis is still a developing field.

Who is good at developing image analysis systems and software?

Image analysis has a high affinity with the field of artificial intelligence, and there are many cases where companies that specialize in AI development are involved in image analysis system development. How much effective data can be extracted from images is important for improving work efficiency, so if you request system development, choose a company that can effectively incorporate artificial intelligence. The following pages introduce recommended companies for system development using such artificial intelligence (AI). We have compiled the latest information on companies that specialize in image analysis systems and software development, so please check it out if you are in charge of introducing image

Follow us on Facebook for updates and exclusive content! Click here: Each Techy

May 5, 2024

What is “image analysis”? Easy-to-understand explanation of the mechanism and specific uses

Recent technological improvements have made it possible to handle image analysis to a high level.
For example, human face authentication is at a level that is also used for immigration at airports.
In the first place, what kind of technology can image analysis be? And we will introduce examples of how it is used in multiple industries.
We will explain all the advantages and disadvantages that you should know when considering the introduction.

What is image analysis?

Image analysis is a system in which a computer makes various decisions after an image is acquired using a sensor such as a camera. It also uses the recognition technology installed in the computer to understand the contents of the image, enabling information extraction and data conversion. The image is to recognize the characteristics of an object in image data such as photographs and videos, and to “mechanically determine what kind of object it is.”

For example, when a human sees an apple, he or she comprehensively looks at the shape, color, size, etc., and determines that this is an apple. The reason why we can make that distinction is that there are many judgment factors such as knowledge, perception, and memory that human beings have accumulated so far. Taking apples as an example, the following points will help you make a decision.

“It has a shape close to a sphere”
“The color is red or blue (green)”
“It’s about the size of a baseball ball or a shot put the ball.”
“There are dents at the top and bottom”
“It has a calyx”

Image analysis performs this kind of information processing that humans naturally do on a computer. The computer that captured the image as data extracts the characteristics of the object and determines “what is reflected in the image?”. Technologies that are used in our daily lives include fingerprint recognition systems for smartphones and face recognition systems installed in digital cameras. Some digital cameras even have a smile detection function. With similar technology, “video analysis” that analyzes video is also advancing. Both refer to processing and analyzing images and videos with a computer to retrieve useful information.

Why image analysis is needed

There is a limit to the amount that can be visually diagnosed by the human eye, and it is impossible to analyze a large amount of image data instantly. On the other hand, continuing a lot of work is a specialty of computers. For image analysis, all you have to do is apply the captured image or video to the AI analysis engine.

In the modern age of Rewa, where the promotion of telework and paperless operations is remarkable, there are increasing opportunities to handle images and videos in many businesses. Being able to perform a large amount of image analysis faster than humans and draw conclusions is a great business advantage. Below, we will introduce the image analysis mechanism in an easy-to-understand manner.

image analysis

How is image analysis performed?

Image discrimination on a computer is a very sophisticated and complex process. This is because mathematical methods are required from object extraction to data arithmetic processing and final discrimination, without relying on the feeling of appearance and smell like human beings. In short,

Extracting objects
Arithmetic processing of extracted pixel data
Discrimination based on calculation results

It is a mechanism that the image is analyzed through the procedure such as.

To explain these procedures in order, after acquiring the image data of the object, “image processing/extraction” is performed to make it easier to recognize mechanically. The procedure for image processing/extraction is as follows.

Remove noise and distortion from the image
Adjust brightness and color
Emphasize the outline of the object
Extract the area of the object and distinguish it from the background
Extract image data of an object in pixel units

Once you know what is in the image, the next step is to identify “what is the data of the extracted object”. This is the process of “judging an object from accumulated memories and experiences” when compared to humans. A computer is trained in advance with a large amount of “image data” and “labels (information about what the image data represents)”, and the object is identified from the information.

Nowadays, by combining it with AI technology (deep learning), it has become possible to discriminate images with higher accuracy. Technologies that combine image discrimination and deep learning include:

Object recognition: Determines whether or not there is a specified object in space
Face recognition: Identify an individual from the faces in the image
Character recognition: Identifies characters are written on blog articles and YouTube thumbnails

With the development of AI, the accumulation and analysis of vast amounts of image data have progressed, and these are widely used not only at manufacturing sites but also in the fields of medicine and agriculture.

When is image analysis used?

From here, we will introduce examples of image analyses that are already active in various industries and businesses.

● “Inspection of products flowing on the production line” in the manufacturing industry

An image discrimination system can be used to label products flowing on conveyors. Labeling work performed manually has uneven accuracy and speed, and it tends to be difficult to allocate personnel according to the production volume. Therefore, by entrusting the process of checking the product with the robot and the image discrimination system and labeling the product in the correct position, it becomes easier to achieve quality averaging while greatly improving the work speed.

In addition, the beer bottles for recycling collected at the beer factory are checked by human eyes for cracks, and this visual system can also reduce labor costs. The use of image analysis is expanding in the manufacturing industry, such as the adoption of a system that automatically repels bottles in poor condition by photographing and analyzing beer bottles.

● “Pathological examination” to analyze X-rays and CT scans

At medical institutions and clinical laboratory centers, incorporating AI analysis into pathological diagnosis and examination will improve work efficiency and reduce the labor burden. The act of counting cells in a pathological test tends to be laborious. However, image analysis systems have evolved to complete within seconds. Complex analysis is possible, such as detecting objects that meet the conditions and not including unnecessary parts in the count results.

● “Detection of suspicious persons” at commercial facilities and event venues

Image analysis and video analysis systems are also expanding into the field of security. It is now possible to identify and track people in a space where many people gather.

For example, you can quickly narrow down similar people from camera images of a large number of people simply by specifying the characteristics (clothes, baggage) of the person to be monitored. Video analysis is better than human power to quickly check the accumulated camera images. In addition, you can track the behavior by identifying the position and time of the camera in which the target person was shown. Depending on the combination with an external system, it is possible to seamlessly receive and track alerts indicating that suspicious persons/objects have been detected.

The “face recognition system” that utilizes the human face itself is also being used more and more. Face authentication is one of biometric authentication and is a system that identifies and authenticates the person by extracting the face part from the image and collating it with the database. Faces are especially difficult to duplicate and forge, so they have come to be used in the field of security. The use of face recognition systems is expanding to various fields, from the use of smartphone apps to the security of financial systems and anti-terrorism measures.

The mechanism of the face recognition system and its advantages over conventional security will be explained in detail in the following articles.

■ Enhanced security with a face recognition system! Utilization of face path that spreads by improving accuracy

In addition to this, it can also be used for technical purposes such as extracting photos of our products from SNS posts and using them for marketing. If the analysis technology is further advanced, the range of applications is likely to expand, and image analysis is a field with future potential.

In addition, image analysis systems are increasingly being adopted from the perspective of crime prevention. A system is in operation that registers the data of a person with a criminal record in a computer in advance and constantly checks whether the person appears in the installed security camera. It is expected that this system will become more widespread to deter crime, such as strengthening anti-terrorism measures.

Benefits of introducing image analysis

Advantages and disadvantages of introducing image analysis into your business
merit	Demerit
Leading to an improvement in the working environment	Costs are incurred for the introduction of equipment such as cameras and monitors
It will be easier to improve work efficiency and reduce labor costs.	There are few image analysis apps and software that can be used for business

There are two advantages to introducing image analysis.

● It leads to improvement of working environment

By combining image discrimination equipment with robots or systems, automation of the production process (FA) can be promoted. Speaking of inspection work, it is possible to inspect products without human hands by incorporating a program that removes or moves products using a robot arm in conjunction with an error in the image discrimination device. The system is free of fatigue, injury, and illness, so you can operate for long periods or work in dangerous locations without any problems. It will be easier for people to create a safe working environment, such as preventing long working hours and work-related accidents in dangerous areas.

● It will be easier to improve work efficiency and reduce labor costs.

Image analysis using a computer can detect small scratches and shape differences that are overlooked by the human eye. The information that can be processed by the human eye is limited, and there is a limit to preventing quality fluctuations due to individual skill differences and fatigue, but AI’s image analysis system can solve these problems. It is also possible to prevent oversights and false positives due to human error and to support high-speed lines, improving the accuracy of inspection work. The labor and personnel required for the work can be reduced, resulting in cost reduction.

Disadvantages of introducing image analysis

On the other hand, the introduction of image analysis also has its disadvantages.

● Costs will be incurred for the introduction of equipment such as cameras and monitors

With a high-performance image analysis system and high-resolution images, it is possible to find small things that cannot be found visually. However, it is costly to introduce such a high-precision system, so there is a disadvantage that it is not easy for companies with limited budgets.

● There are few image analysis apps and software that can be used for business.

When introducing an image analysis system in a company, choosing a system with the performance required for the business can balance the cost and the result. However, image analysis systems are not diverse, and it is difficult to find apps and software that fit your business and needs. There is a possibility that various systems will become widespread in the future, but image analysis is still a developing field.

Who is good at developing image analysis systems and software?

Image analysis has a high affinity with the field of artificial intelligence, and there are many cases where companies that specialize in AI development are involved in image analysis system development. How much effective data can be extracted from images is important for improving work efficiency, so if you request system development, choose a company that can effectively incorporate artificial intelligence. The following pages introduce recommended companies for system development using such artificial intelligence (AI). We have compiled the latest information on companies that specialize in image analysis systems and software development, so please check it out if you are in charge of introducing image

Follow us on Facebook for updates and exclusive content! Click here: Each Techy

May 5, 2024

What is “image analysis”? Easy-to-understand explanation of the mechanism and specific uses

Recent technological improvements have made it possible to handle image analysis to a high level.
For example, human face authentication is at a level that is also used for immigration at airports.
In the first place, what kind of technology can image analysis be? And we will introduce examples of how it is used in multiple industries.
We will explain all the advantages and disadvantages that you should know when considering the introduction.

What is image analysis?

Image analysis is a system in which a computer makes various decisions after an image is acquired using a sensor such as a camera. It also uses the recognition technology installed in the computer to understand the contents of the image, enabling information extraction and data conversion. The image is to recognize the characteristics of an object in image data such as photographs and videos, and to “mechanically determine what kind of object it is.”

For example, when a human sees an apple, he or she comprehensively looks at the shape, color, size, etc., and determines that this is an apple. The reason why we can make that distinction is that there are many judgment factors such as knowledge, perception, and memory that human beings have accumulated so far. Taking apples as an example, the following points will help you make a decision.

“It has a shape close to a sphere”
“The color is red or blue (green)”
“It’s about the size of a baseball ball or a shot put the ball.”
“There are dents at the top and bottom”
“It has a calyx”

Image analysis performs this kind of information processing that humans naturally do on a computer. The computer that captured the image as data extracts the characteristics of the object and determines “what is reflected in the image?”. Technologies that are used in our daily lives include fingerprint recognition systems for smartphones and face recognition systems installed in digital cameras. Some digital cameras even have a smile detection function. With similar technology, “video analysis” that analyzes video is also advancing. Both refer to processing and analyzing images and videos with a computer to retrieve useful information.

Why image analysis is needed

There is a limit to the amount that can be visually diagnosed by the human eye, and it is impossible to analyze a large amount of image data instantly. On the other hand, continuing a lot of work is a specialty of computers. For image analysis, all you have to do is apply the captured image or video to the AI analysis engine.

In the modern age of Rewa, where the promotion of telework and paperless operations is remarkable, there are increasing opportunities to handle images and videos in many businesses. Being able to perform a large amount of image analysis faster than humans and draw conclusions is a great business advantage. Below, we will introduce the image analysis mechanism in an easy-to-understand manner.

image analysis

How is image analysis performed?

Image discrimination on a computer is a very sophisticated and complex process. This is because mathematical methods are required from object extraction to data arithmetic processing and final discrimination, without relying on the feeling of appearance and smell like human beings. In short,

Extracting objects
Arithmetic processing of extracted pixel data
Discrimination based on calculation results

It is a mechanism that the image is analyzed through the procedure such as.

To explain these procedures in order, after acquiring the image data of the object, “image processing/extraction” is performed to make it easier to recognize mechanically. The procedure for image processing/extraction is as follows.

Remove noise and distortion from the image
Adjust brightness and color
Emphasize the outline of the object
Extract the area of the object and distinguish it from the background
Extract image data of an object in pixel units

Once you know what is in the image, the next step is to identify “what is the data of the extracted object”. This is the process of “judging an object from accumulated memories and experiences” when compared to humans. A computer is trained in advance with a large amount of “image data” and “labels (information about what the image data represents)”, and the object is identified from the information.

Nowadays, by combining it with AI technology (deep learning), it has become possible to discriminate images with higher accuracy. Technologies that combine image discrimination and deep learning include:

Object recognition: Determines whether or not there is a specified object in space
Face recognition: Identify an individual from the faces in the image
Character recognition: Identifies characters are written on blog articles and YouTube thumbnails

With the development of AI, the accumulation and analysis of vast amounts of image data have progressed, and these are widely used not only at manufacturing sites but also in the fields of medicine and agriculture.

When is image analysis used?

From here, we will introduce examples of image analyses that are already active in various industries and businesses.

● “Inspection of products flowing on the production line” in the manufacturing industry

An image discrimination system can be used to label products flowing on conveyors. Labeling work performed manually has uneven accuracy and speed, and it tends to be difficult to allocate personnel according to the production volume. Therefore, by entrusting the process of checking the product with the robot and the image discrimination system and labeling the product in the correct position, it becomes easier to achieve quality averaging while greatly improving the work speed.

In addition, the beer bottles for recycling collected at the beer factory are checked by human eyes for cracks, and this visual system can also reduce labor costs. The use of image analysis is expanding in the manufacturing industry, such as the adoption of a system that automatically repels bottles in poor condition by photographing and analyzing beer bottles.

● “Pathological examination” to analyze X-rays and CT scans

At medical institutions and clinical laboratory centers, incorporating AI analysis into pathological diagnosis and examination will improve work efficiency and reduce the labor burden. The act of counting cells in a pathological test tends to be laborious. However, image analysis systems have evolved to complete within seconds. Complex analysis is possible, such as detecting objects that meet the conditions and not including unnecessary parts in the count results.

● “Detection of suspicious persons” at commercial facilities and event venues

Image analysis and video analysis systems are also expanding into the field of security. It is now possible to identify and track people in a space where many people gather.

For example, you can quickly narrow down similar people from camera images of a large number of people simply by specifying the characteristics (clothes, baggage) of the person to be monitored. Video analysis is better than human power to quickly check the accumulated camera images. In addition, you can track the behavior by identifying the position and time of the camera in which the target person was shown. Depending on the combination with an external system, it is possible to seamlessly receive and track alerts indicating that suspicious persons/objects have been detected.

The “face recognition system” that utilizes the human face itself is also being used more and more. Face authentication is one of biometric authentication and is a system that identifies and authenticates the person by extracting the face part from the image and collating it with the database. Faces are especially difficult to duplicate and forge, so they have come to be used in the field of security. The use of face recognition systems is expanding to various fields, from the use of smartphone apps to the security of financial systems and anti-terrorism measures.

The mechanism of the face recognition system and its advantages over conventional security will be explained in detail in the following articles.

■ Enhanced security with a face recognition system! Utilization of face path that spreads by improving accuracy

In addition to this, it can also be used for technical purposes such as extracting photos of our products from SNS posts and using them for marketing. If the analysis technology is further advanced, the range of applications is likely to expand, and image analysis is a field with future potential.

In addition, image analysis systems are increasingly being adopted from the perspective of crime prevention. A system is in operation that registers the data of a person with a criminal record in a computer in advance and constantly checks whether the person appears in the installed security camera. It is expected that this system will become more widespread to deter crime, such as strengthening anti-terrorism measures.

Benefits of introducing image analysis

Advantages and disadvantages of introducing image analysis into your business
merit	Demerit
Leading to an improvement in the working environment	Costs are incurred for the introduction of equipment such as cameras and monitors
It will be easier to improve work efficiency and reduce labor costs.	There are few image analysis apps and software that can be used for business

There are two advantages to introducing image analysis.

● It leads to improvement of working environment

By combining image discrimination equipment with robots or systems, automation of the production process (FA) can be promoted. Speaking of inspection work, it is possible to inspect products without human hands by incorporating a program that removes or moves products using a robot arm in conjunction with an error in the image discrimination device. The system is free of fatigue, injury, and illness, so you can operate for long periods or work in dangerous locations without any problems. It will be easier for people to create a safe working environment, such as preventing long working hours and work-related accidents in dangerous areas.

● It will be easier to improve work efficiency and reduce labor costs.

Image analysis using a computer can detect small scratches and shape differences that are overlooked by the human eye. The information that can be processed by the human eye is limited, and there is a limit to preventing quality fluctuations due to individual skill differences and fatigue, but AI’s image analysis system can solve these problems. It is also possible to prevent oversights and false positives due to human error and to support high-speed lines, improving the accuracy of inspection work. The labor and personnel required for the work can be reduced, resulting in cost reduction.

Disadvantages of introducing image analysis

On the other hand, the introduction of image analysis also has its disadvantages.

● Costs will be incurred for the introduction of equipment such as cameras and monitors

With a high-performance image analysis system and high-resolution images, it is possible to find small things that cannot be found visually. However, it is costly to introduce such a high-precision system, so there is a disadvantage that it is not easy for companies with limited budgets.

● There are few image analysis apps and software that can be used for business.

When introducing an image analysis system in a company, choosing a system with the performance required for the business can balance the cost and the result. However, image analysis systems are not diverse, and it is difficult to find apps and software that fit your business and needs. There is a possibility that various systems will become widespread in the future, but image analysis is still a developing field.

Who is good at developing image analysis systems and software?

Image analysis has a high affinity with the field of artificial intelligence, and there are many cases where companies that specialize in AI development are involved in image analysis system development. How much effective data can be extracted from images is important for improving work efficiency, so if you request system development, choose a company that can effectively incorporate artificial intelligence. The following pages introduce recommended companies for system development using such artificial intelligence (AI). We have compiled the latest information on companies that specialize in image analysis systems and software development, so please check it out if you are in charge of introducing image

Follow us on Facebook for updates and exclusive content! Click here: Each Techy

May 5, 2024

What is a legacy system? Benefits of migration and openness

Legacy systems are “older systems”.
Legacy systems are often related to the core of a company, such as core systems, and cannot be easily changed.
However, because it is an old model, it is difficult to support new technology, and maintenance costs and time are required.
This time, we will introduce the basic knowledge of legacy systems, migration to new systems, and opening of legacy systems.

What is a legacy system?

The legacy system is a term that refers to a system that has been built with old technologies and mechanisms and has become complicated and black-boxed.

“Legacy” originally means “assets” or “things that have been passed down from generation to generation.” It’s not a bad thing in the first place, but when we use the term “legacy system” in information system terms, it means “old and outdated system”.

Legacy systems have been introduced and put into practical use for a long time, so they are difficult to expand and maintain and are not compatible with new technologies and business models. In some cases, more advanced technologies have already become commonplace. Such legacy systems are also known as “Technical Debt.”

An old system is called a legacy system, but there is no clear definition of how old it is called “legacy”.

Also, what is pointed to depends on the situation, for example, when introducing a new system, the existing system is called “legacy system”, and when new technology such as USB comes out, the old technology such as serial connection is called “legacy”. increase.

In system development, a legacy system uses a mainframe (general-purpose computer) installed in a company and is the basis of the company’s core system. Also called the “proprietary (proprietary specification)” system, it was developed by a vendor based on old-fashioned technology with its technology, and it is a system built to order for each company.

In Japan, vendors collectively provide legacy systems such as mission-critical systems, applications (software) for each business, and necessary hardware. It is a stable system that has been used for many years while being maintained by the vendor.

However, it is a very complicated system because it does not suit the current corporate situation and it is revised and changed by Tsugihagi every time the management activity changes.

Impact of system legacy

People tend to think that it would be good if the system works stably even with a legacy system, but what kind of impact will it have if the system becomes a legacy system?

● Mechanism of legacy

IT technology is advancing so fast that it is called dog-ear (growing 7 times faster than humans) or mouse-ear (growing 18 times faster than humans), and current technology will soon become a legacy. However, user progress is not as fast as technological progress, so many people continue to use older devices and systems. Therefore, the system will not easily disappear as it gets older. This is the mechanism by which “legacy” is born.

● What happens when the system becomes a legacy?

<The usability of the system deteriorates>

Legacy systems utilize old technologies and cannot introduce new technologies or devices. A bespoke system may look like a black box that is different from the original specifications and documents due to various modifications and changes over time. If this happens, it will be difficult to link with other systems, and the usability of the system will deteriorate.

<Maintenance cost will be high>

Legacy systems have higher maintenance and operational costs. There are several factors in this, one is that manufacturer support has ended. Since the core system introduces the hardware and the system together, the hardware is also becoming a legacy. If the hardware is old, the firmware will be old and the security response will be slow. Due to the end of manufacturer support, parts may not be available for repair.

Also, over the years, the improved system has become bloated and complex. What’s more, if the engineer who first built the system is retired, no staff can see the whole picture, so it becomes a black box, a rigid system that is difficult to modify, and extra time for management. Will be applied.

<Delayed utilization of the latest technology>

Legacy systems use old technology that is premised on closed systems. We do not anticipate the introduction of new technologies such as the cloud and OSS (Open-source software). As a result, major modifications are required to accommodate new technologies.

● Legacy-free method

There is a method called “legacy-free” to solve the weaknesses of such legacy systems. Legacy-free means “free from legacy”, eliminating systems and devices that are considered legacies, such as ISA buses and earphone jacks, like Apple’s Macs and iPhones, and making only new technologies. Refers to a system or computer.

You can use new technology to build high-performance systems, but it’s also a controversial approach because it takes the time and effort of users to adapt to the new system.

What is the “cliff of 2025”?

The “cliff of 2025”, which is closely related to the legacy system, was announced by the Ministry of Economy, Trade, and Industry in 2018. It is the content pointed out in the DX report. By the way, “DX” is an abbreviation for “Digital Transformation”. DX means that digital technology can be used by companies to create businesses and improve consumers’ lives.

Specifically, the “cliff of 2025” is the delay in international competition, economic stagnation, etc. that would be expected if the existing system (complexity, aging, black-boxed legacy system) remains in the future. It is a word that refers to. He also points out that the retirement of IT human resources and the end of support expected by 2025 may cause more stagnation.

The occurrence of these economic losses is referred to as the “wall of 2025.”

● The legacy system closely related to “Cliff in 2025”

There is a deep connection between the “Cliff of 2025” and the legacy system. In the DX report, companies need DX to leverage new digital technologies to transform their businesses, create new business models, and flexibly modify them for their future growth and competitiveness. You understand. However, in reality, he points out that it has not led to major business transformation.

The existence of “legacy systems” is cited as one of the major factors that have not led to business transformation.

As mentioned above, we are concerned that a large amount of cost and human resources spent on legacy systems will make it impossible to invest resources such as IT budgets in new digital technologies, which will reduce the global competitiveness of companies. increase.

In the DX report released, it is predicted that by 2025, legacy systems that have been in operation for more than 21 years will account for 60% of the total system.

In the future, these systems need to be renewed, and we are cautioning that companies that miss this wave of renewal will lose many business opportunities. To overcome the wall of 2025, it is necessary to clear the problem of the legacy system, but it is pointed out that it will take time to overcome it. For this reason, companies are required to take immediate action against legacy systems.

Legacy system measures (“migration” and “modernization”)

Legacy migration is the migration of an existing legacy system to a new system. “Migration” means “relocation” and “migration” and is one of the important issues for many companies using legacy mission-critical systems.

● Advantages of legacy migration

<Review of the system according to the times>

Migration involves switching vendor-specific closed systems to open applications. While inheriting the existing software assets, we will reduce the size of the hardware for easy maintenance.

Since an open environment is built by migration for a closed legacy system, it is also possible to support cloud computing. You can build a system with a high degree of freedom that does not depend on a specific vendor.

<Utilization of assets such as know-how>

Since migration can utilize many years of know-how as it is, the cost of user education related to system introduction can also be reduced. In addition, gradual migration is possible, so you can work without stopping the system or use the new system immediately after performing the migration.

<Reduction of TCO>

Legacy migration can reduce TCO (Total Cost of Ownership). Since it is based on the existing system, the initial cost can be reduced compared to the new installation, and the running cost of the hardware can be reduced by downsizing.

● Further evolved “modernization”

As an advanced version of legacy migration, there is also a method called “modernization”. Modernization is a noun for the word “modernize”.

In modernization, we will introduce new IT technology without changing the parts that correspond to the system specifications and requirements definition. By using the current specifications as they are, the system can be turned into new hardware while keeping the existing software assets. Modernization makes it possible to maintain the assets and stability of legacy systems and adapt to new technologies at the same time.

Benefits of opening a legacy system

Opening means changing a closed system to an open system. It is not an original system, but a system built by combining popular OS and hardware whose technical specifications are generally open to the public.

However, in Japan, many companies are reluctant to open legacy systems for security reasons.

Systems with general-purpose computers are inflexible and unsuitable for real-time data analysis. On the other hand, open systems are highly expandable and allow flexible system operation. With the advancement of IT technology, we are entering an era in which a sense of speed is emphasized in business, and open systems have become indispensable.

In addition, open systems can be easily modified, changed, or added to the system. Since all legacy systems are made-to-order and proprietary, it was difficult for non-developers to maintain. However, open systems are easy to use because they can be easily added, modified, and improved, and since they are not proprietary specifications, the options that can be used increase, and the expandability of functions increases.

Utilizing the cloud to break away from legacy systems

We talked about migration and modernization, but “utilizing the cloud” is also indispensable for breaking away from legacy systems.

The on-premises type legacy system owned by the company needs to be operated on the assumption of hardware failure. As a result, hardware replacement costs are incurred regularly, and this accumulation puts pressure on the company’s IT budget. Many IT professionals will be worried about these hardware lifecycle spells.

Also, in legacy systems, there is a big disadvantage that the system structure becomes a black box.

If it cannot be modified or expanded by the company, it will not be usable as a system. And, to continue operation, new maintenance costs will continue to increase, and at the same time, know-how will become easier to personalize and it will be difficult to take over. What’s more, it falls into a negative spiral, where system changes tend to be difficult.

“Utilization of the cloud” solves the above problems. By utilizing the cloud, the cost related to hardware that was incurred regularly is only the service usage fee paid to the external service. In addition, the man-hours required for hardware maintenance can be reduced, so the operation of human resources can be secured not for maintenance but other tasks. Doing so allows you to focus your resources on more productive tasks and get closer to solving problems.

If companies can take advantage of the cloud, they will be freed from the curse of legacy systems.

To get rid of the old and inefficient system operation, let’s consider the use of the cloud and take immediate action.

Continuous metabolism of legacy systems

Since many of the core systems and business systems that have been used for a long time have become legacy, many companies have started to take measures or have already completed the measures.
However, as technology advances, it will be necessary to migrate again.
When migrating, use open standard specifications and applications, and try to constantly metabolize the system in daily operations even after migration.
That is the point to prevent the legacy system from becoming more legacy.

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May 1, 2024