AI automatic visual inspection system capable of real-time defect classification.

High-precision image recognition with easy operation! This is an AI automatic visual inspection system that can detect product abnormalities and defects, achieving improvements in quality and production efficiency.

Our "NuLMiL" is an AI automatic visual inspection system that learns defective patterns with each application and automatically classifies types of defects. The AI, trained with color-coded image data differentiated for each type of defect, automatically identifies and classifies defects based on the applied colors. Through deep learning of good and defective products, it learns patterns of anomalies and defects to build a model for evaluating the appearance of products. This enables high detection accuracy with a small amount of defective product data, allowing for the classification of defect types as well as the detection of unknown defects. We have many achievements, including holes in tile materials, cracks in aluminum processed products, scratches on semiconductor wafers, scratches on aluminum processed products, burrs from holes in metal parts, and scratches on aircraft coatings. 【Features】 ■ Deep learning for good and defective product training ■ High-precision detection with a small amount of defective product data ■ Detection of unknown defects in addition to classification of defect types *For more details, please refer to the PDF document or feel free to contact us.

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