Anomaly detection in metal parts

MVTec’s HALCON developed a combination of rule-based and deep-learning-based approaches for faster, easier and more precise defect detection in the metalworking industry.

Defects in production may include attached residues, broken edges, scratches and so on. Our deep learning solution provides accurate and stable results even when defect types are new or different. 


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