Perfectly coated surfaces are an essential quality feature in the automotive and consumer goods industries. They are the result of an optimized, controlled coating process. Because entire assemblies could be rejected if Out-of-Specification (OOS) parts are installed, this has a severe economic impact. This paper presents a novel, line-integrated multi-camera system with intelligent algorithms for anomaly detection on small KTL-coated aluminum parts. The system also aims to automatize the previously used human inspection to a sophisticated and automated vision system that efficiently detects defects and anomalies on coated parts.

Benseler Beschichtungen GmbH and Co KG 70806 Kornwestheim Germany

Department of Cybernetics and Biomedical Engineering Technical University of Ostrava 70833 Ostrava Czech Republic

Fraunhofer Institute for Machine Tools and Forming Technology IWU 09126 Chemnitz Germany

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