Microscopic dimensional analysis of the silhouette of automotive parts

Consistent quality inspection of manufactured parts remains a key challenge in automotive production. Thisdaataset presents a real-time data system that integrates embedded digital microscopy with a digital twin operationalmodel. The system improves human-machine collaboration, following Industry 5.0 principles. It uses AI computer visionto detect asymmetries caused by machining and to identify surface contamination through feature-based image analysis.