Existing computer vision-based surface defect detection techniques for metal materials typically encounter issues with defect overlap, significant differences within classes, and similarity between ...

This research establishes an advanced cloud-native multimodal intelligent system architecture dedicated to automated detection and real-time monitoring of steel surface defects. The architecture ...