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  4. Image Analysis AI [TDSE Eye] Utilization Seminar - Streamlining Visual Inspection with AI!
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  • Jun 15, 2023
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Jun 15, 2023

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

TDSE TDSE
Would you like to streamline visual inspections, which are used in various scenes of the manufacturing industry such as equipment inspections, maintenance, and product quality control, with AI? The image analysis AI "TDSE Eye" is a service that allows you to build an AI that detects abnormal images by training it with just a few normal images. No advanced programming knowledge is required! Since there is no need to collect time-consuming images of abnormal conditions, it enables quick and low-cost implementation, supporting the reduction of human and time costs associated with visual inspections. In this seminar, we will introduce TDSE Eye while sharing examples of its application, such as detecting defective products on production lines and visual inspections of concrete wall surfaces! It is an on-demand webinar that you can attend at your preferred time, so please register on a date that suits you! We look forward to your participation.
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Background of the development of the anomaly detection service "TDSE Eye".

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

The use of AI requires specialized knowledge and tools, and in reality, it is limited to companies that have secured personnel knowledgeable in AI and IT. Our company has developed a modeling platform for image recognition AI called "TDSE Eye" and has begun offering various products necessary for real business. AI models can be built without programming (via a web interface), and AI will streamline visual inspections, such as maintenance work on equipment and quality checks of products. **Features of TDSE Eye:** - AI model construction without programming (web interface) - Continuously provides cutting-edge and beneficial image AI technology in a cloud environment - Anomaly detection AI is built using only normal images - It is possible to visually confirm the locations of anomalies - A portable AI server allows for anomaly degree calculation on edge devices like PCs *For more details, please refer to the PDF document or feel free to contact us.*

  • Measurement and Inspection

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Example of use: Detection of defective products on the production line using anomaly detection AI.

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 results in inconsistent 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.

  • Measurement and Inspection

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Example of Use: Appearance Inspection of Concrete Walls Using Anomaly Detection AI

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 technical knowledge 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.

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Are you having trouble with visual inspections and examinations in humans?

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

"Veteran workers are relied upon, and inspections are personalized," "Visual inspections take time and human costs," "Unable to introduce AI due to lack of specialized knowledge," and other concerns will all 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 equipment maintenance and product quality verification ■ By building AI models in the cloud, high-performance options are always available ■ Easy operation to build AI through a web interface ■ 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.

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An abnormal detection service 'TDSE Eye' that can be understood in just a little over a minute.

Always providing cutting-edge 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. 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 like 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.

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Introducing examples of anomaly detection using the anomaly detection service "TDSE Eye."

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 to create the model. There is also a possibility of detecting any unusual abnormalities with rare appearances (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 in a cloud environment. 【Examples of Abnormal 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.

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Anomaly detection service 'TDSE Eye' that enables AI construction in a short period.

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

The "TDSE Eye" is equipped with advanced algorithms that streamline visual inspections for equipment maintenance and product quality verification through visual tasks. When building AI with normal and abnormal images, the emergence of various abnormal states can prolong the image collection process, resulting in significant time required before implementation and operation can begin. This product trains AI using only a small number of normal images, allowing for quick and low-cost AI development. Since there is no need to prepare abnormal images, image collection is simplified. *If there are variations in the normal state, it is necessary to train all variations as normal. 【Features】 ■ AI built using only normal images ■ Implementation of advanced algorithms ■ Consistently high-performance anomaly detection AI ■ Can be implemented and operated without specialized knowledge ■ AI inference can be executed offline at the edge *For more details, please refer to the related links or feel free to contact us.

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Example of utilization in steel product inspection: Anomaly detection service "TDSE Eye"

By combining with a 360-degree camera, we can streamline the inspection of the product's interior! This reduces the costs of visual inspections for appearance checks and other quality confirmations.

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, making it possible to implement and operate 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.

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Example of utilization in detecting defective products on the production line: 'TDSE Eye'

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 complete inspection, which incurs time and labor costs, and the work is subjective, leading to inconsistencies in inspection quality. By utilizing the abnormal detection service "TDSE Eye," we can automate the process by selecting only those products that require human inspection through AI inspections, thereby reducing labor. This allows us to maintain a consistent level of inspection quality. Additionally, this product can build complex models in a cloud environment in a short time and can 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 by selecting only products that require human inspection through AI inspections - Maintain consistent inspection quality with AI *For more details, please refer to the related links or feel free to contact us.

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Example of utilization in wall exterior inspection: Anomaly detection service "TDSE Eye"

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, making it difficult to transfer skills, and there is a risk of deterioration falling. By utilizing the abnormal detection service "TDSE Eye" and conducting inspections with drone images and AI, it is possible to standardize inspection quality and automate and reduce labor in the process. 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 and labor costs are high, work is subjective and skill transfer is difficult, and there is a risk of deterioration falling. ■AFTER - Automating and reducing labor in inspection work with AI, standardizing inspection quality with AI, and ensuring safety with drone photography. *For more details, please refer to the related links or feel free to contact us.

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Five Reasons Why the Anomaly Detection Service "TDSE Eye" is Chosen

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 by building them 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.

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Introducing the process for implementing the anomaly detection service "TDSE Eye."

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 operations of equipment 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.

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Anomaly Detection Service "TDSE Eye"

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

The "TDSE Eye" is equipped with advanced algorithms that streamline visual inspections for equipment maintenance and product quality verification. By building AI models in the cloud, high-performance solutions are always available. AI can be constructed with simple operations through a web interface. Our company has handled numerous projects in the field of image AI, and this service reflects those experiences. 【Features】 ■ Always high-performance anomaly detection AI ■ Can be implemented 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 materials or feel free to contact us.

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Management Game MG Experience Seminar Scheduled for April 16, 2026 (Thursday)

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There are many programs available for management training, leadership training, and so on. This indicates that the needs of various companies are diverse, and the forms of solutions also differ. Our company regularly holds experiential seminars aimed at those responsible for or researching leadership training within each company, allowing them to experience the essence of management games. Please consider this as a solution for organizational challenges. The benefits of the experiential seminar are as follows: • You can experience the intrinsic value of management games. • You will understand the core of experiential training that cannot be conveyed through catalogs, brochures, or websites alone. • You can envision which programs should be applied to which job levels. • You can imagine the degree of growth of your employees after participating in the training. *This is aimed at those responsible for corporate education and training. Individuals seeking learning for personal purposes should participate in public seminars. [Request when applying] Please specify "via the Ipros site" when asked how you learned about our company.

Feb 13, 2026

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3rd Practical Seminar on Generative AI for Construction Engineers

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Finally, the practical use of generative AI in the construction industry has been advancing. By utilizing generative AI, the operations in the construction industry have significantly improved, and many case studies have emerged. On the other hand, it is challenging to experiment with various tools, and there are not many courses specifically tailored for the construction industry. In this training, over two days, you will intensively learn generative AI practical skills specialized for construction, which you can immediately apply on-site starting the next day. This "super practical program" will allow you to quickly acquire skills to automate and streamline the creation of construction plans and presentation materials by utilizing the latest generative AI tools available for free, from the basic mechanisms of AI. It goes beyond mere technical introduction, enabling you to gain know-how that can be immediately used on-site through practical exercises directly related to your own work.

Feb 13, 2026

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Survival Strategies for Construction Companies: A Complete Guide Seminar on Business Model Transformation

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The housing industry is currently facing a significant turning point due to factors such as population decline, a reduction in demand for new construction, and intensified price competition. This seminar will clearly explain the "business model transformation strategies" necessary for construction companies to survive and continue to grow in such a challenging environment. We will introduce specific approaches that can be immediately applied on-site, along with a roadmap to success.

Feb 12, 2026

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■ Announcement of "2025 Attack Fair in Meiko"! ■ 【July 23, 2025 (Wednesday) to July 24, 2025 (Thursday)】

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Nitto Kohki will hold the "2025 Attack Fair in Meiko" for two days from July 23 (Wednesday) to July 24 (Thursday), 2025, at the "Kowa Seminar Plaza 2F Training Room No. 12 (inside Kowa Sports Land)." The Attack Fair is an exhibition where you can actually "see, touch, and operate" Nitto Kohki's products. Additionally, there will be wonderful souvenirs for attendees and many fun activities prepared. We look forward to welcoming everyone!

Feb 12, 2026

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At the "HCJ2026 International Hotel and Restaurant Show," we will showcase NFC-enabled business tablets focused on improving employee efficiency @ Tokyo Big Sight from February 17 to February 20, 2026.

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ODS Corporation, a manufacturer of business information terminals (headquartered in Chiyoda-ku, Tokyo, President: Kiyoshi Sunanaga), in collaboration with Magconn Corporation (headquartered in Kokubunji City, Tokyo, President: Satoshi Inoue), will showcase its business tablets at the "HCJ2026 International Hotel and Restaurant Show" to be held at Tokyo Big Sight from February 17 (Tuesday) to 20 (Friday), 2026. We will present the Android model "TA2C-NF8" equipped with an NFC reader/writer, which can be utilized in restaurants and hotels, as well as the Windows model "TW2A-NF9LTA" with an NFC reader/writer, which will be unveiled for the first time at this exhibition and is scheduled for release in March. By combining these products with Magconn's charging system, which allows for stable charging with a one-touch magnetic attachment, we aim to propose improvements in operational efficiency and the creation of new business opportunities utilizing NFC solutions.

Feb 10, 2026

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