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  6. Defective Judgment Learning System

Defective Judgment Learning System

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last updated:Jun 19, 2026

TOKYO KOKI TESTING MACHINE CO.LTD.
TOKYO KOKI TESTING MACHINE CO.LTD.
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In the manufacturing industry, we will accumulate data from processing machine sensors and measuring instruments, and perform real-time quality assessment of products.

We will train the AI by pairing sensor and measurement data with the results of good or defective product judgments. After training, when sensor and measurement data are provided, the AI will perform real-time good or defective judgments. It can also be utilized as a system for storing and managing diverse measurement data. For more detailed information, please download the catalog or contact us.

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Defective Judgment Learning System

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basic information

Sensors, collection and accumulation of measurement data, and storage of time-series data are possible. Supports management of image files, CSV files, etc. AI learns from the collected measurement data and the good/bad judgment result data. Using the trained AI, the good/bad status of measurement data is judged in real-time. The good/bad judgment results are also saved to the database, and the judgment history is displayed on the screen. We support customized development tailored to the on-site environment, such as measurement data and judgment methods. It is also possible to add information such as failure information and countermeasure information during defects, as well as search for similar cases, which can be useful for analyzing trends and considering countermeasures when defects occur.

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Applications/Examples of results

It flexibly accumulates and manages data according to various formats of sensors and measurement data. It can handle large amounts of time-series data as well. Files in data formats that are difficult to directly input into images or databases are saved as files and managed in the database. It can also be utilized as a storage and management system for diverse measurement data and files. Data from sensors of processing machines and measurement devices, along with the judgment results of good and defective products, are registered as training data for AI and used for learning. Pre-trained AI can be saved for each product type or project. During operation, data from sensors of processing machines and measurement devices is received, and the pre-trained AI performs real-time judgment of product quality, returning the results. The judgment status and history can be checked on the web interface. Information on defects and countermeasures when issues arise can be registered in the database in conjunction with the defective judgment data. It is also possible to register documents such as defect reports. Keywords can be automatically extracted and registered from documents, allowing for flexible searching. In the event of defects, it is possible to view past defect and countermeasure histories or search for similar cases in different products.

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TOKYO

TOKYO KOKI TESTING MACHINE CO.LTD.

Testing, Analysis and Measurement

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1. Diversification and Advancement As a cutting-edge comprehensive testing machine manufacturer that meets the diverse needs of all customers, we are committed to connecting to the 21st century. 2. Responsibility and Duty We are dedicated to maintaining our position as the mother tool of the industry and coexisting with our customers. 3. Harmony and Coexistence We strive for harmony with our employees, the community, and society, aiming to be a "good corporate citizen."

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