A visual inspection system for KTL coatings

Many metal components in automotive industry are surface-protected using the electrophoretic cathode metal coating (KTL). As surface defects can occur in this process, the components need to be 100% inspected, especially if the manufacturers are committed to delivering zero-defect products. Due to c...

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Bibliographic Details
Published in:Procedia CIRP 2019, Vol.81, p.771-774
Main Authors: Bračun, Drago, Lekše, Igor
Format: Article
Language:English
Subjects:
cluster
imaging system
inspection
KTL
pattern recognition
surface defect
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Summary:Many metal components in automotive industry are surface-protected using the electrophoretic cathode metal coating (KTL). As surface defects can occur in this process, the components need to be 100% inspected, especially if the manufacturers are committed to delivering zero-defect products. Due to complicated 3D curved shapes and black shiny colour of the coating, inspection is typically carried out manually. To avoid labour-intensive manual inspection in serial production, an automated visual inspection system is developed. The paper presents the implementation of a control device for mass inspection of the products, typical KLT coating defects, and the visual inspection method for the detection of coating defects. A difference image acquisition method is implemented in order to reveal the defects on the black shiny colored parts. An image processing algorithm for the recognition of light patterns and a clustering approach for the recognition of defects are presented.
ISSN:2212-8271
2212-8271
DOI:10.1016/j.procir.2019.03.192