IDIoT List of Products and Services

**"Ideal Stories Told by IoT Experts"** IoT systems can connect everything and gather information from them. However, success can only be claimed when the collected information is provided to people and organizations, leading to creativity. To achieve this, not only information about "things" is needed, but all kinds of information are required. There is a saying, "Gather the wisdom of the crowd and wait for the mandate." A system that collects, provides, and promotes the creation of added value from the "information" corresponding to the wisdom of the crowd is necessary.

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"Ideal Anecdotes from IoT Experts" Many people in the business world are conscious of honing the power of their latent brain. In today's information-saturated society, the ability to efficiently acquire high-quality information is essential. IDIoT has long focused on "speed reading" techniques, but we are also practicing photo reading, which is scientifically rational from a life sciences perspective. To continue adding value to IoT technology, often referred to as the mixed martial arts of the IT world, we will keep refining our skills.

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**"The Relationship Between IoT and Productivity Improvement as Explained by an IoT Expert"** When we hear the phrase "drawing a line," it is easy to imagine it being used to clarify authority and responsibility. In the context of improving productivity, "drawing a line" is typically used to distinguish between normal and abnormal situations. Recently, it has become important to differentiate between tasks that can only be performed by humans and those that can also be done by computers, based on a philosophy that respects humanity. Furthermore, it is necessary for continuity to be able to flexibly "redraw" those lines according to the situation.

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**Characteristics of a Unique IoT Company** "The ideas being considered in a rural area of Niigata are already being practiced by predecessors somewhere in the world!" This reflects the philosophy regarding open source, which is one of the fundamental policies of IDIoT. In the past, many giants of knowledge have humbly stated, "I have merely stood on the shoulders of giants." However, are we truly able to put this into practice? In the era of connectivity, there is "desired" information hidden somewhere in the world. Let’s utilize it quickly and effectively for business, development, and problem-solving.

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**Characteristics of a Distinctive IoT Company** I believe that business is fundamentally a result of open innovation. This has been particularly true for the major players in the automotive and telecommunications industries that IDIoT has worked with. Because they have a clear understanding of their own capabilities, they actively seek to engage with external forces that possess the "power" to transcend their "boundaries" and "limitations." As a result, larger movements are generated. IDIoT also adopts open innovation as its basic policy.

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**Characteristics of a Distinctive IoT Company** It has been said for a long time that information is the fourth management resource. Under keywords such as the paradigm shift brought about by the fourth wave and knowledge-creating companies, groupware and the internet/intranet have significantly improved the productivity of white-collar workers. Recent IoT technologies have made it possible to build systems that are comparable to those of the past at an overwhelmingly low cost.

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Factory equipment is complex, and "visualization" is necessary. It is more about "making visible the important things that are mixed in with the unimportant" rather than "making the invisible visible," which is a concept of data mining. Are we not just getting by with superficial measures due to the hassle and being pressed for time? Because it is complex, we should rely more on the power of computers than on humans. ◆ Issues - We must understand the reasons for stoppages and delays within the factory and organization, such as equipment failures. - We need to track phenomena and events that can occur at any time and detect specific timings. ◆◆ Improvement Proposals - Narrow down "possible causes" from information such as design requirements. - Record the operations of the narrowed-down potential causes. - If many records are needed, let's leverage the power of computers. ◆◆◆ Expected Effects - Computers will process a lot of information for us. - We can view and capture things from multiple perspectives. ★ IDIoT Proposal - The Ideal IoT System will solve this problem. - Let's get accustomed to using various sensors simultaneously to collect data.

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A PLC (Programmable Logic Controller), also known as a "sequencer," is a computer used to control industrial equipment. Recently, it has become easy to connect to devices using LAN communication functions for the exchange of control signals and to obtain information from the devices. In many cases, the exchange of control signals and the acquisition of device information are used to operate the equipment. However, there are more effective uses, such as recording control histories and referencing the operational history of connected devices. This allows for a better understanding of operations and the quality of the equipment. ◆ Issues - We want to effectively utilize the vast amount of data stored in the PLC. ◆◆ Improvement Proposal - Implement automatic processing to retrieve and store data from the PLC. ◆◆◆ Expected Benefits - Gain new insights from the data within the PLC. - Create quality information from abundant data and implement improvements. ★ IDIoT Proposal - The Information Gateway will solve this problem. - Let's visualize the data from the PLC as time-series data on the Smart IoT Display.

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**The Relationship Between IoT and Productivity Improvement as Explained by an IoT Expert** One of the objectives of IoT systems is "visualization." But is that all? This "visualization" should be the result of thorough data collection and analysis of the subject. So, what is the subject, and what kind of data should we obtain about it? The answer is "customer demands." This is also true in manufacturing environments. In production sites where IoT systems are installed, the "customer" is the on-site workers, and the added value for them is considered to be "productivity."

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**Characteristics of a Distinctive IoT Company** IDIoT has been negotiating directly with automotive companies as a Tier 1 supplier in the automotive industry. We are well-versed in the culture and knowledge of automotive manufacturers and parts suppliers, allowing us to easily understand common perceptions and provide support. We particularly focus on improvement activities using IoT systems.

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We receive inquiries from customers in the construction industry. Since the work involves going to distant construction sites, it is almost standard practice to bring extra materials just in case. Because the work is outdoors and affected by the weather, workers often forget to record the number of materials used due to the rush. There is a concern about wanting to automatically count and keep track of the inventory of relatively large materials, such as concrete panels. ◆ Issues - We want to keep track of the inventory of "large items." - We want to implement a system that counts automatically. ◆◆ Improvement Proposal - By using sensors in unexpected ways, it seems relatively easy to calculate the inventory. ◆◆◆ Expected Benefits - We will be able to keep track of the quantity of "large items." ★ IDIoT Proposal - The Ideal IoT System will solve this problem. - By creatively combining work procedures and rules, unexpected methods can resolve the issue.

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The Chūetsu region of Niigata Prefecture is a production area for ornamental koi. The main cause of death for weak fry is a lack of oxygen. When the water temperature rises, the oxygen in the water evaporates, leading to a decrease in oxygen concentration. This simple principle has been visualized. This can also be considered a smart agriculture tool. ◆ Applicable Product - Ideal IoT System ◆◆ Features - It uses an inexpensive and easily measurable dissolved oxygen concentration sensor. - Stable data collection is possible even from koi ponds installed over a wide area outdoors, thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs and judgment results are displayed. ◆◆◆ Effects - It allows for understanding and visualization of the growth environment for koi in the pond. - It leverages the characteristics of LoRaWAN, which excels in wide-area communication. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

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**"Ideal Anecdotes from an IoT Expert"** Having been involved in the software industry for a long time, I have developed a strong interest in "visualizing the invisible" and "organizing insights." I feel this necessity when building IoT systems, which are complex systems that combine hardware and software technologies. Mind mapping is an information organization technique that mimics the development process of synapses in the human brain. Its simplicity and biological affinity contribute to its ease of use.

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**"Ideal Anecdotes from IoT Experts"** IoT is sometimes likened to "mixed martial arts in the IT world." This is indeed true, as it requires connections with a diverse range of "things," necessitating both hardware and software. The hardware includes machinery, electrical components, architecture, civil engineering, and more... The software consists of various elements such as embedded systems, smartphone applications, and cloud services. To establish these elements rationally and without error, a technology for accurate communication and understanding is essential. This technology can be applied not only to document creation but also to communication in general.

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**Characteristics of a Distinctive IoT Company** IDIoT has been active in the overseas information and communication and automotive industries for a long time. The lesson learned there is that "English is essential for engineers!" "Technical Writing," which is a must for technical students in Europe and the United States, still has low recognition and has not yet become established in Japan. Amidst this, there is a movement in Japan to promote English in technical professions as "Industrial English." IDIoT has been involved in "Technical Writing" and "Industrial English" for many years. We utilize the knowledge and know-how gained from this experience in our daily technology and product development.

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**Characteristics of a Distinctive IoT Company** Wireless communication is an essential technology for the "smartification" of smart factories and smart offices. Among these, LoRaWAN is the communication technology equipped with the necessary functions for the IoT era. WiFi and Bluetooth are relatively easy to obtain, but is that enough? LoRaWAN compensates for the shortcomings of WiFi and Bluetooth. We encourage you to make LoRaWAN a key part of your "hybrid communication strategy," effectively utilizing the strengths of both technologies where they are most suitable.

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There are customers who say, "As long as we can get the numbers." The production output is the final figure, right? In reality, only a small amount may have been produced, but are you hiding inventory to meet quotas? Conversely, is the site operating very efficiently and is it not a breeze? To understand the correlation between workload and site capability, we need to grasp the site in more detail than we currently do. ◆ Issues - Work is only being viewed through a single indicator. - Various conditions at the site are not being understood. - The balance between workload, capability, and actual performance is not being evaluated. ◆◆ Improvement Proposal - Let's observe the site with the principle of "3 Gen" and determine evaluation points. - First, conduct evaluations manually, and in the next step, consider automation through an IoT system. ◆◆◆ Expected Effects - By observing the site from multiple perspectives, we can grasp the whole with less effort. - We can sense the potential for a system that allows us to "understand more" without incurring labor costs. ★ IDIoT Proposal - The Information Gateway will solve this problem. - Let's try to adopt more sensors to mimic the sensations of "human observation."

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A common story among salarymen in snowy Niigata. Quite a few people are ordered to transfer to Tokyo just after moving into a newly built home. If you have left your wife, children, and parents in a newly built house back home, you might worry about the snow conditions during winter. ◆ Issues - Unable to grasp the natural phenomena in distant locations. - No easy means to obtain local information such as snowfall. ◆◆ Improvement Proposal - Use a simple IoT system to grasp local information. - Since there are various methods, engage in trial and error to establish a way to substitute your own "observation." ◆◆◆ Expected Effects - You can build a system that substitutes your own observation of "seeing with your eyes." ★ Proposal for IDIoT - The Ideal IoT System will solve this problem. - It is also effective to combine it with an IoT service that provides visual assistance using cameras.

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The productivity of equipment can be determined in various ways. Machines consist of many parts and moving components, so their operational status is reflected everywhere. In other words, the determination of whether they are "operating" can be made from any of these aspects. In this example, we focus on the fact that a large current flows when the equipment is "operating" to make this determination. ◆ Applicable Products - Ideal IoT System ◆◆ Features - It monitors the fluctuations of relatively large currents in equipment to determine operational status. - It can be applied to any equipment that operates by receiving power. - Stable data collection is possible even in factories with many metal objects, thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs and determination results are displayed. ◆◆◆ Effects - It can be easily attached to electrical wires. - By using the electrical wires aggregated in control boxes, it is easy to measure the current at multiple locations. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

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To visualize scents, we have broken them down into multiple elements. The area concerning "odors" lacks established basic units or fundamental elements. By mimicking human olfaction, we attempted to visualize a variety of odors using a combination of multiple odor sensors through various methods. ◆ Applicable Products - Ideal IoT System ◆◆ Features - We perform complex judgments by combining multiple odor (gas) sensors. - We are working on sensing and datafication of the ambiguous subject of "odor." - Stable data collection is possible even in factories with a lot of metal objects, thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, with graphs and judgment results displayed. ◆◆◆ Effects - We propose solutions even for objects that are difficult to quantify. - We quantify the ambiguous concept of odor using relatively easy methods. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

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This is a typical case in mass production factories. The manufactured food packs are transported on a conveyor and move on to the next process one after another. There are instances where stockouts occur due to defects, and it is desirable to monitor production volume everywhere. A simple counting system has been realized through non-contact sensing. ◆ Applicable Product - Ideal IoT System ◆◆ Features - Non-contact sensing makes it less likely to experience failures or issues. - Sensors can be retrofitted, allowing detection at any manufacturing location. - Stable data collection is possible even in factories with a lot of metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, displaying graphs and judgment results. ◆◆◆ Effects - Automatically records and visualizes production numbers. - Detects the presence or absence of pallets using similar sensing, allowing for the determination of completion of shipping tasks. - By comparing production numbers from multiple locations, it becomes possible to visualize the achievements and issues of specific manufacturing sites. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

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The moist snow coming across the Sea of Japan is a concern for Niigata. We proposed a solution for the life work of the chairman of the construction company, who is our customer. By collaborating with a construction method that concentrates the load of the entire roof onto a single point, we have realized a simple system that allows us to understand the snow accumulation condition on the roof with just one measurement and determine the necessity of snow removal work. ◆ Applicable Product - Ideal IoT System ◆◆ Features - Achieves simple sensing in collaboration with a construction method that concentrates the load of the entire roof onto a single point. - Data collection and determination of multiple buildings scattered over a wide area are possible via LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, with graphs and determination results displayed. ◆◆◆ Effects - Automatically records operational state data and visualizes it. - Not only can it determine the necessity of snow removal work, but it also allows you to know the "snow removal resistance" level (percentage display). - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

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"Ideal Stories Told by IoT Experts" The Raspberry Pi, which is overflowing with information in the streets, is a noteworthy "dream computer." However, that information only speaks to a part of the Raspberry Pi. It is a device with nearly infinite possibilities, and by understanding its "diverse potential," you can discover expanded applications, collaboration with other devices, and ideal ways to use it. Please take the opportunity to experience the true value of the Raspberry Pi.

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**"The Relationship Between IoT and Productivity Improvement as Explained by an IoT Expert"** "It is often said that 'failure is the mother of success' and 'failure is the nourishment for growth,' but are you putting this into practice? You may be aware of significant failures that have a major impact on those around you, but even in seemingly smooth daily operations, there are 'small failures' that exist. It is through calmly connecting these 'minor opportunities for growth' to daily improvement that productivity enhancement is realized. IoT systems are here to support that."

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**The Future of IoT According to IoT Experts** Are you struggling with how to supply power when implementing IoT systems? And have you given up on installing IoT systems in places where power supply is not available? This goes against the IoT philosophy of "working diligently for people everywhere." To address these issues, energy efficiency is being advanced, and products that can operate for several years on small batteries are now available in the market. However, concerns about battery replacement will inevitably arise after a few years... This cannot be considered ideal.

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**The Future of IoT as Discussed by IoT Experts** It is not optimal to perform all AI processing in the cloud or on local servers. This is because a "bottleneck" occurs somewhere in the process of aggregating data to a "central" location. To avoid this, distributing AI processing is being considered. This is edge computing. In IoT systems, the "edge" refers to the end node. AI processing is being realized as "embedded" software at the end node.

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**Characteristics of a Unique IoT Company** There are countless sensors available in the market today. Do you know what types of sensors exist? Are you able to use each one appropriately, considering their differences, features, strengths, and weaknesses? Most of them are powered by electricity. Are you able to create circuits for their operation? We support the appropriate use of sensors with expertise from our background in electronic engineering.

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**Characteristics of a Distinctive IoT Company** The computers that make up an IoT system include processors (CPU: Central Processing Unit), microcontrollers (Micro Controller), and PCs (Personal Computer). Are you utilizing each of these appropriately, considering their differences, characteristics, strengths, and weaknesses? To help reduce TCO, we assist in integrating computers, which are key devices, into IoT systems with a proper understanding.

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**Characteristics of a Unique IoT Company** We create dashboards using Google Spreadsheet, which is almost identical to Excel. If you can imagine the graph tools in Excel, you can envision what can be achieved. Please communicate your requests using the graphs and visualization methods that you are already familiar with and currently use in your company or workplace. We will implement them as they are.

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**Characteristics of a Unique IoT Company** The state of wireless communication changes based on the surrounding conditions of the "radio wave pathway." Performance can decline due to unexpected factors. It is not guaranteed that the "invisible" (radio waves) will function as expected. We visualize the radio wave conditions and establish the correct environment before deploying the IoT system.

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In internal meetings (management meetings, quality meetings, etc.), various data from different departments within the company is required. Data accumulated from the factory through the IoT system, quality data recorded on the production line, and organized aggregated information. In addition to these, the administrative department has accounting data, human resources data, etc. Currently, we rely on a manpower-intensive approach to integrate/aggregate these. ◆ Issues - The format and presentation of data created by each department differ. - Data from various departments is scattered in different locations. ◆◆ Improvement Proposals - Automate data collection and processing. - Automate the creation of meeting materials as well. ◆◆◆ Expected Effects - Data will be automatically collected and meeting materials created by the deadline. - We can reduce the enormous man-hours spent on manpower-intensive approaches. ★ IDIoT's Proposal - Information Gateway and micro RPA will solve this problem. - Let's leave data collection and processing to computers and software robots that excel in these tasks.

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We have decided on a method to implement an IoT system to collect and analyze data representing the operational status of equipment every day. However, how long will we have to continue this tedious task every day...? Do you have similar concerns? ◆ Issues - It takes a lot of man-hours and time to process and analyze the large amounts of data that accumulate daily. - Thinking about how long we will continue the data processing and analysis work causes anxiety. ◆◆ Improvement Proposal - Automate the data processing and analysis tasks. - Automate the report creation as well. ◆◆◆ Expected Benefits - Data will be processed automatically every day, and reports will be generated. - You will be relieved from anxieties such as "How long will we do this?" and "Who will do it?" ★ IDIoT's Proposal - The Information Gateway and micro RPA will solve this problem. - Let's leave the troublesome data processing to computers and software robots that excel at it.

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The IoT system has been implemented, allowing us to collect data that represents the operational status of equipment every day. What kind of analysis? What should we look at? Should we use complex statistical methods? I'm struggling and unable to move forward. ◆ Issues - The purpose has been forgotten or not sufficiently considered. - There is no system in place to continuously pursue the true purpose every day. ◆◆ Improvement Proposal - Focus on the "visualization" information on graphs and dashboards to achieve the purpose of implementing the IoT system. - Pay attention only to the "anomalies" that appear in the "visualization" information. - When an anomaly is found, confirm it on-site, with the actual object, and in reality. - Establish a system that repeats this "notice → confirm" process continuously every day. ◆◆◆ Expected Effects - A cycle of finding anomalies and improving them will be established. - By systematizing this improvement cycle, a habit of continuous improvement will naturally develop. ★ IDIoT Proposal - The Ideal IoT System will solve this problem. - Let’s focus only on the anomalies without getting distracted by complex or numerous issues. - Automate the detection of these anomalies with the Ideal IoT System.

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During production work, equipment stops. The personnel in charge, pressed for time and production schedules, respond with makeshift measures due to a lack of leeway. Although the plan is cleared, equipment stoppages are repeated, and the problem persists. ◆ Issues - Analysis of the "problem" is not conducted at the time of stoppage. - There is no system in place for knowledgeable and responsible individuals to gather on-site. ◆◆ Improvement Proposals - Use an IoT system to notify stakeholders in real-time when a stoppage occurs. - Stakeholders can easily grasp the situation through a dashboard equipped with an "andon" function. - The production personnel will focus on production while the equipment personnel will handle cause analysis. ◆◆◆ Expected Effects - Equipment personnel, well-versed in equipment and trouble response, can rush to the site and verify the actual situation. - Production personnel will no longer resort to vague responses due to the urgency of production. - Equipment personnel can take responsibility and lead improvements. ★ Proposal for IDIoT - Capture the timing of problem occurrences and notify stakeholders through the Ideal IoT System. - Utilize the "visualization" technology of the Ideal IoT System to communicate with distant stakeholders via "personal andon" alongside the regular dashboard.

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The person in charge was manually recording information about work content and issues for each piece of equipment. These records were collected and delivered to the supervisor the next morning in a bundle. Every day, the supervisor would see the "bundle of daily reports" and feel overwhelmed. Since the records were handwritten, the quality level varied by recorder, and it took time for the supervisor to understand the content. ◆ Issues - Data indicating the situation is not being collected in real-time. - Data indicating the situation is being recorded by equipment personnel in handwritten daily reports. ◆◆ Improvement Proposal - Numerical information and simple judgment information (presence/absence, pass/fail, etc.) should be automatically recorded in real-time using an IoT system. - Important parts of the daily report, such as "issue identification" and "observations," should be recorded freely in handwritten form. It would also be good to capture the recorded documents as images and convert them into PDF files. - The supervisor can immediately assess the situation by looking at the overall, aggregated information collected in real-time. If any issues requiring deeper investigation are found, they can refer to the handwritten detailed information. ◆◆◆ Expected Effects - Ability to grasp the overall situation in real-time. - Elimination of the need for manual labor in data aggregation. ★ Proposal for IDIoT - The Ideal IoT System will solve this problem.

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In addition to detecting the signal tower status of injection molding machines, the status of peripheral equipment such as worksite lights is also acquired. All data indicating the behavior of operators is sensed to comprehensively calculate the operational status. ◆ Applicable Products - Ideal IoT System ◆◆ Features - Detects the lighting status of the signal tower and worksite lights and converts it into operational status by the minute. - Digitizes all movements (light, rotation, movement, etc.) occurring around production equipment using multiple sensors to comprehensively calculate operational status and operational rates. - Stable data collection is possible even in factories with many metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - Automatically records and visualizes operational status data. - Allows you to know the status of the press machine in a factory located away from the office. - Digitizes all data related to production activities using diverse sensing technologies. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

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The operating data is obtained from the PLC installed in the rice packing machine to calculate the operating status. If the equipment is relatively new, it is easy to access the memory within the installed PLC to obtain the equipment status. ◆ Applicable Product - Information Gateway ◆◆ Features - Accesses the memory within the PLC to retrieve data and converts it into operating status by the minute. - If there is data indicating operating status and operating rate within the PLC, it can be easily obtained. - Data is obtained via a wired LAN within the factory, ensuring stable operation. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - Automatically records and visualizes operating status data. - Allows you to know the status of the press machine located far from the office. - Can retrieve data other than operating status and operating rate from the vast amount of data present in the PLC. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy. - This example is an application case for the rice packing machine and can be easily applied to equipment with installed PLCs.

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The signal tower attached to the packed rice manufacturing machine detects its status and calculates the operational state and operating rate. In manufacturing sites, if there is a standard signal tower, the equipment status can be easily digitized regardless of the old or new model. ◆ Applicable Products - Ideal IoT System ◆◆ Features - Detects the lighting status of the signal tower and converts it into operational state per minute. - Since the lighting status of the signal tower is converted into operational state data, it is an easy-to-understand system. - Stable data collection is possible even in factories with many metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - Automatically records and visualizes operational state data. - Allows you to know the status of the press machine located far from the office. - Digitized even old press machines without communication functions. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy. - This example is an application case for the packed rice manufacturing machine and can be easily applied to equipment with installed signal towers.

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The system detects the status of the signal tower installed on the metal parts forming press machine and calculates the operating status and operating rate. A sensor has been attached to the standard signal tower found in manufacturing sites to digitize the lighting status. ◆ Applicable Product - Ideal IoT System ◆◆ Features - It detects the lighting status of the signal tower and converts it into operating status per minute. - Since it converts the lighting status of the signal tower into operating status data, it is an easy-to-understand system. - Stable data collection is possible even in factories with a lot of metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - It automatically records and visualizes operating status data. - You can know the status of the press machine in the factory located far from the office. - Even old press machines without communication functions have been digitized. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy. - This example is an application case for a punching press machine and can be easily applied to equipment where a signal tower is installed.

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Detects the movement of molds in metal parts forming press machines and calculates the operating status. Sensors were installed on old press machines to digitize them. ◆ Applicable Products - Ideal IoT System ◆◆ Features - Detects the up and down movement of the mold and converts it into shots per minute (SPM). - Since it counts the up and down movement of the mold, it is an easy-to-understand system. - Detects the presence or absence of metal part materials, distinguishing between stops due to material shortages and abnormal stops. - Stable data collection is possible even in factories with a high presence of metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - Automatically records and visualizes operating status data. - Allows you to know the condition of press machines located far from the office. - Digitized even old press machines that lack communication functions. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy. - This example is an application case for press machines using molds, and it can be applied to equipment with periodic motion components.

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IDIoT operates based on the following mission/purpose: 1. By advocating the usefulness of digital information that represents data as facts and providing products that connect this to customer benefits, we support the realization of rational thinking and smart work styles in customer companies. 2. By providing sensors and CPUs that substitute human senses and thoughts at an ideal QCD, we promote respect for humanity by freeing people from inhumane work. 3. To harness the inherent power of humans, we pursue the advanced use of IoT systems and aim to achieve Intelligent Automation. 4. By supporting the realization of data-driven management, we contribute to the digital transformation of customer companies. Key Points: - Supporting customers' "smartification" through the establishment of a data utilization foundation. - Introducing a culture of respect for humanity in the workplace through the use of sensors and CPUs. - Aiming for Intelligent Automation that lies beyond automation. - Achieving transformation through data-driven management. For more details, please refer to the related links or contact us.

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Based on my experience working at major automobile factories both domestically and internationally, as well as at major automotive parts factories and small to medium-sized factories in Niigata Prefecture, I design and develop IoT devices and systems suitable for manufacturing sites. ◆ IDIoT Technology 1. Knowledge of the next-generation IoT communication technology LoRa, which does not require a license. 2. Ability to design and develop devices based on LoRa specifications (wireless communication base stations, data collection devices). 3. Capability to lay out networks based on LoRa specifications. 4. Access to abundant information and technology from the world's largest IoT cloud service, TTN. 5. Ability to design and develop data collection devices using embedded software development technology. 6. Proficiency in industrial English for global information collection and dissemination. ◆◆ Strengths of IDIoT - The ability to propose realistic and broad solutions based on extensive industrial site experience. - Problem-solving capabilities for a wide range of sensing challenges based on experience as an embedded software engineer. - Knowledge and technology related to internet usage based on experience since its early days. - Global information collection capabilities through communication skills developed from overseas experience. - Abundant information from global organizations supporting next-generation IoT communication technology. *For more details, please refer to the related links or contact us.

• Other services

We will create a system tailored to your needs with flexible "sensing" and "wireless communication" solutions. ◆Features - Achieve a smart factory free from wiring using LPWA (LoRa / LoRaWAN) and WiFi. - We assist your company's digital transformation with a simple "visualization" tool. - Sensors installed on factory equipment collect data and transfer it to cloud services on the internet. - We help you choose sensors and digitize everything for better visibility. ◆◆Examples of Use - Acquire the number of shots and material availability from a press machine to understand operational status and determine normal/abnormal stops. - Obtain the status of various (types, new and old, etc.) machine tools from a general-purpose pilot lamp and calculate operational rates. - Monitor valuable data 24/7 through sensing with specialized sensors like dissolved oxygen levels (DO values). *For more details, please refer to the related links or contact us.

• Other Software

We will implement automated processes that "organize information" using low-code tools to solve the "siloing" problem within the organization. ◆Features - Software robots (automation processes) make valuable data scattered within the company easier to use. - We are also skilled at acquiring data from PLCs (programmable logic controllers). - You can use it simply by connecting to the existing network (internal LAN). - IDIoT supports the implementation of automation processes during the introduction phase. ◆◆Usage Examples - Automatically retrieve and create separate customer information from the core database tailored to each salesperson's sales style. - Automatically retrieve and create different sets of information for each factory line from production management systems and information sharing systems. - Automatically calculate costs by acquiring values from various sensors installed within the company and exchange rate information from the internet. *For more details, please refer to the related links or contact us.

• Other Software

As an introduction to a full-scale RPA system, why not start small? We will easily achieve automation using tools like Google AppSheet Automation. ◆Features - Using no-code tools, it is possible to create automation mechanisms easily and quickly. - We provide a system that makes better use of "information," the fourth management resource. - IDIoT supports initial implementation and establishment. After implementation, you can easily advance automation on your own. ◆◆Examples of Use - Automatically send instructions to external sales staff by discerning and judging the content of emails from customers. - Based on internal inventory information managed in Excel, automatically determine and place orders for parts. - Obtain operational status from sensors installed in factory equipment and email the daily operational status to the supervisor. *For more details, please refer to the related links or contact us.

• Other Software