Image Analysis AI [TDSE Eye] Utilization Seminar - Streamlining Visual Inspection with AI!

Build AI models without programming! It is possible to visually confirm anomalies.

The use of AI requires specialized knowledge and tools, and in reality, it is limited to a few companies that have secured personnel knowledgeable in AI and IT. Our company has built an image recognition AI modeling platform called "TDSE Eye" and has started providing various products necessary for real business. AI models can be built without programming (Web interface), and AI will streamline visual inspections, such as maintenance tasks and product quality checks. **Features of TDSE Eye** - AI model building without programming (Web interface) - Continuously provides cutting-edge beneficial image AI technology in a cloud environment - Anomaly detection AI is built using only normal images - It is possible to visually confirm abnormal areas - Portable AI server enables anomaly degree calculation on edge devices like PCs *For more details, please refer to the PDF document or feel free to contact us.*

• Visual Inspection Equipment

Select only the products that require human inspection and automate the process! It's okay to inspect only a few percent of the total inspection count!

Visual inspection of defective products on production lines by humans involves a high workload and leads to inconsistencies in inspection quality. Therefore, we first use AI to identify products with a high likelihood of defects. Only those selected products are then visually re-inspected by humans, ensuring consistent quality while reducing manpower. Our anomaly detection service, 'TDSE Eye', implements advanced algorithms to streamline visual inspections for maintenance tasks and product quality verification. 【Case Overview】 ■Challenges - Time and labor costs are high - The work is dependent on individuals, leading to inconsistencies in inspection quality ■Benefits - AI inspection selects only the products that require human inspection, reducing manpower - AI ensures consistent inspection quality *For more details, please refer to the PDF document or feel free to contact us.

• Visual Inspection Equipment

Automatically detect cracks and other issues using images captured by drones with AI! This makes work safer and more efficient.

Regular inspections of concrete deterioration (such as cracks) in tunnels and bridges conducted by human eyes are very time-consuming and can sometimes be dangerous. Therefore, we use images captured by drones to automatically detect cracks and other issues with AI, making the inspection process safer and more efficient. Our anomaly detection service, 'TDSE Eye,' allows for the rapid construction of complex models in a cloud environment, enabling implementation and operation without specialized knowledge. [Case Overview] ■ Challenges - Time and labor costs are high, the work is dependent on individuals, making skill transfer difficult, and there is a risk of falling debris from deteriorated areas. ■ Benefits - Automation and reduction of inspection work through AI, maintaining consistent inspection quality with AI, and ensuring safety through drone imaging. *For more details, please refer to the PDF document or feel free to contact us.

• Visual Inspection Equipment

Improving work efficiency and reducing costs is possible! AI can detect inspections and checks instead of visual inspections.

"Veteran workers are relied upon, and inspections are becoming person-dependent." "Visual inspections take time and human costs." "We cannot introduce AI without specialized knowledge." All these concerns will be resolved by 'TDSE Eye.' AI will take over the visual inspections that have relied on humans until now, enabling efficiency and cost reduction in operations. It can be implemented and operated without specialized knowledge, and it can be built at low cost and in a short period. 【Features of TDSE Eye】 ■ Implementation of advanced algorithms ■ Streamlining visual inspections for maintenance tasks and product quality checks ■ By building AI models in the cloud, high-performance options are always available ■ Easy operation through a web interface to build AI ■ Offline execution of AI inference at the edge ■ Extensive track record in the field of image AI *For more details, please refer to the related links or feel free to contact us.

• Visual Inspection Equipment

Always providing cutting-edge and beneficial image AI technology in a cloud environment! There is an introductory video that fully explains the features!

"TDSE Eye" is an anomaly detection service that streamlines visual inspection tasks, such as equipment maintenance and product quality verification, using AI for appearance inspections. The specific areas of the identified images that are abnormal are quantified and can be visualized as a heatmap. Additionally, it is possible to run the AI model built in the cloud on edge devices, such as PCs that are disconnected from the network. 【Features】 ■ AI model construction without programming (Web interface) ■ Continuously provides cutting-edge beneficial image AI technology in a cloud environment - Anomaly detection AI is built solely on normal images - Allows for visual confirmation of abnormal areas ■ AI model can also be utilized on edge devices like PCs that are disconnected from the network *For more details, please refer to the PDF document or feel free to contact us.

• Visual Inspection Equipment

Carpets, leather products, bottles, etc.! Detecting any anomalies with unusual appearances (such as unknown foreign objects).

The appearance inspection system "TDSE Eye" determines abnormalities in various textures and objects. When it detects abnormalities such as chips, cracks, fraying, tears, or breaks, the degree of abnormality in the appearance of the image differs from the normal images used for model creation. It may also be capable of detecting any unusual appearance abnormalities (such as unknown foreign objects). Additionally, this product can be implemented and operated without specialized knowledge. It can build complex models in a short period within a cloud environment. 【Examples of Abnormality Detection (Partial)】 < Texture Types > ■ Carpet ■ Grid ■ Leather and leather products ■ Tile ■ Wood and more < Object Types > ■ Bottle ■ Cable ■ Capsule ■ Food ■ Wood ■ Tablet ■ Screw ■ Brush ■ Electronic components ■ Zipper and more * For more details, please refer to the related links or feel free to contact us.

• Visual Inspection Equipment

Train AI using only a small amount of normal images! Implementation and operation are possible without specialized knowledge.

"TDSE Eye" implements advanced algorithms to streamline visual inspections such as equipment maintenance and product quality checks. When building AI with normal and abnormal images, the emergence of various abnormal conditions can prolong the image collection process, resulting in significant time required before implementation and operation can begin. This product allows for AI training using only a small number of normal images, enabling quick and cost-effective AI development. Since there is no need to prepare abnormal images, image collection is simplified. *If there are variations in the normal state, all variations must be trained as normal. [Features] ■ AI built using only normal images ■ Implementation of advanced algorithms ■ Consistently high-performance anomaly detection AI ■ Easy implementation and operation without specialized knowledge ■ Offline execution of AI inference at the edge *For more details, please refer to the related links or feel free to contact us.

• Visual Inspection Equipment

By combining with a 360-degree camera, we can streamline internal inspections of products! This reduces the costs of visual inspections for appearance checks and quality confirmation.

In visual inspections, automating the inspection process is difficult due to the structure of iron pipes, resulting in high time and labor costs. By combining the abnormal detection service "TDSE Eye" with a 360-degree camera, we can detect abnormalities such as internal damage from the captured images and identify areas that require visual inspection. This eliminates the need to verify everything visually, achieving a reduction in labor and time costs. Additionally, our product allows for easy operation through a web interface to build AI, enabling implementation and operation without specialized knowledge. 【Overview】 ■BEFORE - Automating the inspection process is difficult due to the structure of iron pipes - High time and labor costs ■AFTER - Efficiently capturing the interior with a 360-degree camera - Reducing labor and time costs by inspecting camera images with TDSE Eye *For more details, please refer to the related links or feel free to contact us.

• Visual Inspection Equipment

Only a few percent of the total inspections are needed! Implementation and operation are possible without specialized knowledge.

In human visual inspections, it is necessary to conduct a full inspection, which incurs time and labor costs, and the work is subjective, leading to inconsistencies in inspection quality. By utilizing the anomaly detection service "TDSE Eye," we can automate the process by selecting only those products that require human inspection through AI inspections, thereby reducing manpower and ensuring consistent inspection quality. Additionally, this product can quickly build complex models in a cloud environment and execute AI inference offline at the edge. 【Overview】 ■BEFORE - Time and labor costs are high - Work is subjective, leading to inconsistencies in inspection quality ■AFTER - Automate the process by selecting only products that require human inspection through AI inspections - Ensure consistent inspection quality with AI *For more details, please refer to the related links or feel free to contact us.

• Visual Inspection Equipment

With drone images and TDSE Eye, we can conduct inspection work safely and securely!

In visual inspections of tunnel walls by humans, the work is subjective and it is difficult to pass on skills, and there is a risk of deteriorated areas falling. By utilizing the abnormality detection service "TDSE Eye" and conducting inspections with drone images and AI, it is possible to standardize inspection quality and automate and reduce manpower in the work. This product allows for easy operation through a web interface to build AI, and it can be implemented and operated without specialized knowledge. [Overview] ■ BEFORE - Time-consuming and costly in terms of manpower, work is subjective and skill transfer is difficult, with a risk of deteriorated areas falling. ■ AFTER - Automate and reduce manpower in inspection work with AI, standardize inspection quality with AI, and ensure safety with drone photography. *For more details, please refer to the related links or feel free to contact us.

• Visual Inspection Equipment

Build complex models in a cloud environment in a short time! It's also easy to use AI from individual applications.

The anomaly detection service "TDSE Eye" provides access to always new, high-performance AI models built in the cloud. Model construction can be done using only a few normal images, eliminating the need to collect abnormal images. Additionally, by using a portable AI server, the AI models built in the cloud can be utilized on edge devices such as PCs that are disconnected from the network. It is also easy to use AI from individual applications. 【Five Reasons to Choose Us】 ■ Always new, high-performance anomaly detection AI ■ Can be implemented and operated without specialized knowledge ■ Built at low cost and in a short period ■ Offline execution of AI inference at the edge ■ Extensive track record in the field of image AI *For more details, please refer to the related links or feel free to contact us.

• Visual Inspection Equipment

Image recognition on cloud edge devices! We also offer system implementation and various support tailored to your company's environment.

"TDSE Eye" implements advanced algorithms to streamline maintenance tasks and visual inspections of product quality. An AI model is built using only images of normal conditions. In the cloud, simply uploading images allows for the identification of abnormal images. On edge devices, abnormal image identification is performed by downloading the portable AI server and AI model. We also offer system implementation tailored to your company's environment and various support services, so please feel free to consult us when needed. 【Process until Implementation】 ■STEP 01: Prepare Images (If there are variations in normal conditions, images corresponding to all variations are required) ■STEP 02: Build AI Model ■STEP 03: Image Identification (Cloud and Edge Device Compatible) *For more details, please refer to the related links or feel free to contact us.

• Visual Inspection Equipment

Easily accessible AI from individual applications! Complex models can be built in a short time in a cloud environment!

"TDSE Eye" implements advanced algorithms to streamline visual inspections such as equipment maintenance and product quality checks. By building AI models in the cloud, high-performance solutions are always available. AI can be constructed easily through a web interface. Our company has handled numerous projects in the field of image AI, and this service reflects that experience. 【Features】 ■ Always high-performance anomaly detection AI ■ Can be introduced and operated without specialized knowledge ■ Built at low cost and in a short period ■ AI inference can be executed offline at the edge ■ Extensive track record in the field of image AI *For more details, please refer to the PDF document or feel free to contact us.

• Visual Inspection Equipment

This is a webinar that explains the basic concepts of nonlinear regression and practical analytical methods using JMP. We will welcome Mr. Fukushima, who is in charge of biostatistics at Takumi Information Technology and has extensive experience in the pharmaceutical industry and knowledge of statistical analysis, as our instructor. Target Audience: - Those who want to learn about nonlinear regression and understand it from the basics. - Those involved in data analysis in fields such as pharmaceuticals and manufacturing, who are interested in utilizing nonlinear models. - Those interested in data analysis using JMP and want to apply it in practice. Program: - Part 1: Introduction to Data Visualization and Nonlinear Regression An overview of the basics of nonlinear regression using non-clinical trials in the pharmaceutical industry as a subject. - Part 2: Features of Nonlinear Regression in JMP and Examples of Its Use in Quality Control An explanation focusing on the functions and features of nonlinear regression in JMP. ▼ Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/06-25-nlr

[Key Lecture Content] 1. Promotion of Solar Panel Recycling Yuta Okazaki, Director, System Planning Office, General Affairs Division, Environmental Restoration and Resource Recycling Bureau, Ministry of the Environment 1. Previous efforts regarding the disposal and recycling of solar panels 2. Laws related to the promotion of resource recovery from solar cell waste 3. Q&A / Business card exchange 2. Expansion of Solar Power Generation and Formation of a Positive Cycle for Panel Resource Recycling Akihou Kawai, Analyst, Materials Team, Industrial Research Department, Mizuho Bank 1. Policy trends surrounding solar power generation 2. Trends in the solar power generation industry 3. Resource recycling related to solar power generation and panels 4. Examples of initiatives by businesses towards resource recycling - Towards glass recycling 5. Examples of initiatives by businesses towards resource recycling - Towards efficient collection 6. Examples of initiatives by businesses towards resource recycling - Guarantees and insurance for solar power generation equipment and related trends 7. Awareness of issues and directions for problem-solving regarding resource recycling of solar panels 8. Q&A / Business card exchange

[Key Lecture Content] 1. New Trends in the Submarine Cable Market: Current Status and Outlook Mr. Takuya Makiyama, Senior Researcher, Mobility and Communication Policy Headquarters, Mitsubishi Research Institute 1. Why are submarine cables attracting attention now? 2. Overview of the submarine cable market 3. Major players and changes in industry structure 4. Future outlook and expectations 5. Q&A / Business card exchange 2. Submarine Cables Supporting International Communication and KCS's Initiatives Mr. Tomonori Shinto, Executive Officer and Senior Managing Director, Technical Operations Headquarters, KDDI Cable Ship Co., Ltd. 1. Business introduction 2. Overview of submarine cables 3. Various operations related to submarine cables 4. Current status and challenges of the submarine cable industry 5. Q&A / Business card exchange

[Speaker] Ayaka Hiraki, Fellow at Deloitte Tohmatsu Research Institute, General Incorporated Association [Key Lecture Content] Due to high tariff measures and withdrawal from international organizations by the second Trump administration in the United States, military operations in Venezuela, and attacks on Iran, the world is indeed "Under Destruction." As the economy and cutting-edge technologies become intertwined with security, this lecture will analyze the trends in the defense industries of Japan, Europe, and the United States from three perspectives: "modular security," "total defense," and "the rise of artificial intelligence (AI)," while examining the potential and challenges of Japan's defense industry. [Lecture Topics] 1. Changes in Japan's security environment 2. Three points to consider for future security systems (1) Modular security architecture (2) Total defense (3) AI 3. Initiatives in Japan, Europe, and the United States (1) Europe: European defense industry strategy and strategic autonomy (2) United States: National security strategy under the Trump administration (2025 NSS) and defense innovation (3) Japan: Key points of the FY2026 budget and trends towards the revision of three strategic documents 4. Future outlook for the defense industry - possibilities and challenges regarding participation 5. Q&A

[Speaker] Anderson Mori & Tomotsune Law Office Foreign Law Joint Enterprise Partner Attorney Eiji Kobayashi [Lecture Topics] 1. FIT/FIP System in Solar Power Generation Business (1) Overview of FIT/FIP System Based on Renewable Energy Law (2) Background of Amendments to Renewable Energy Law Related to Solar Power Generation Business (3) Key Practical Points in Current Renewable Energy Law 2. Amendments and Regulations Related to Solar Power Generation Business (1) Forest Law (2) Electricity Business Law (3) Environmental Impact Assessment (4) Landscape Law (5) Others 3. Q&A Session