June 08, 2021 | Feature Presentation, MERLIC
Deep-learning-based anomaly detection significantly facilitates the automated surface inspection for, e.g., detection and segmentation of defects. Only a low number of high-quality images is needed for training because defects of varying appearance can be detected without any previous knowledge or any preceding labeling efforts.

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Activate VideoPublished on: June 08, 2021