[Communication and IoT Service Solutions] It is possible to improve quality and prevent quality issues before they occur.
The "Image Recognition AI Solution" enables quality improvement and the prevention of quality issues through image recognition AI in quality inspection. It records data for traceability, work history, and predictive maintenance of machinery. It enhances transparency and traceability in the manufacturing process through sensor data collection and analysis. Additionally, it supports "normal and abnormal product inspection" using AI deep learning for the manufacturing industry. It automates quality inspections that are currently done visually, stabilizing quality. 【Features】 ■ Quality improvement and prevention of quality issues through image recognition AI in quality inspection ■ Recording of data for traceability, work history, and predictive maintenance of machinery ■ Enhancement of transparency and traceability in the manufacturing process through sensor data collection and analysis *For more details, please refer to the PDF document or feel free to contact us.
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basic information
【Features for the Manufacturing Industry】 <Visual Inspection> ■ "Inspection of Normal and Abnormal Products" using AI Deep Learning ■ Automating quality inspections that are currently done visually to stabilize quality ■ Reducing false detection errors and lowering labor costs ■ Learning images of normal and abnormal products to detect only abnormal products *For more details, please refer to the PDF document or feel free to contact us.
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【Usage】 ■ Image Recognition AI *For more details, please refer to the PDF document or feel free to contact us.
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Company information
Nagoya Riken Electric Co., Ltd. is engaged in the sale of electronic components and the development and manufacturing of electronic devices. In the future, we will continue to respond comprehensively to your development and design departments, as well as your procurement department, through the sale of various electronic components, including capacitors, resistors, and mechanical parts, in addition to semiconductors.
![AI and Image Recognition Solutions [*Materials with usage examples will be provided]](https://image.mono.ipros.com/public/product/image/248/2000407462/IPROS13555109467068262383.jpg?w=280&h=280)
