Quality Automatic Inspection

We will support the construction of a system that implements AI-based OK/NG judgment in the product appearance inspection process.

The appearance inspection of industrial products has traditionally been carried out by inspectors using their hands and eyes, but with AI and image recognition technology, it is now possible to conduct inspections with high precision, in real-time, and at reduced human costs. By installing cameras and sensors on the production line and implementing inspections through AI analysis, human errors can be eliminated, thereby reducing the risk of defective products entering circulation. 【Expected Challenges】 - A large number of personnel and locations are required for appearance inspections, which has become a bottleneck as we want to increase production quantities. - Variability in inspection quality occurs due to the experience levels of inspectors, necessitating multi-stage inspections. 【Expected Benefits】 - Space-saving is achieved through AI judgment, allowing for easy adaptation to fluctuations in production volume. - Stabilization of inspection quality through model unification.

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