Use Solomon SolVision's Segmentation technology to learn about various types of defects, and at the same time set OK categories to avoid false positives and false negatives. With data augmentation, the scope of AI learning is increased. It can not only effectively detect various types of defects, but also accurately detect edge protrusions, black edges or black spots in cluttered or complex backgrounds. It also has a good recognition effect for less obvious defects.
Use Solomon SolVision's Segmentation technology to learn about various types of defects, and at the same time set OK categories to avoid false positives and false negatives. With data augmentation, the scope of AI learning is increased. It can not only effectively detect various types of defects, but also accurately detect edge protrusions, black edges or black spots in cluttered or complex backgrounds. It also has a good recognition effect for less obvious defects.