A visual inspection system for KTL coatings
Bračun, Drago (Author), Lekše, Igor (Author)

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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.

Keywords:KTL, surface defect, inspection, imaging system, pattern recognition, cluster
Work type:Article (dk_c)
Tipology:1.08 - Published Scientific Conference Contribution
Organization:FS - Faculty of Mechanical Engineering
Number of pages:f. 771-774
Numbering:Vol. 81
ISSN on article:2212-8271
DOI:10.1016/j.procir.2019.03.192 This link opens in a new window
COBISS.SI-ID:16688411 This link opens in a new window
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Record is a part of a proceedings

Title:52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, June 12-14, 2019
COBISS.SI-ID:16674843 This link opens in a new window

Record is a part of a journal

Title:Procedia CIRP
COBISS.SI-ID:12981019 This link opens in a new window

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:P2-0270
Name:Proizvodni sistemi, laserske tehnologije in spajanje materialov

Secondary language

Keywords:površinske napake, nadzor kakovosti, slikovni sistemi, razpoznavanje vzorcev

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