ǂA ǂvisual inspection system for KTL coatings

Drago Bračun (Author), Igor Lekše (Author)

Abstract

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

površinske napake;nadzor kakovosti;slikovni sistemi;razpoznavanje vzorcev;KTL;surface defect;inspection;imaging system;pattern recognition;cluster;

Data

Language:	English
Year of publishing:	2019
Typology:	1.08 - Published Scientific Conference Contribution
Organization:	UL FS - Faculty of Mechanical Engineering
UDC:	658.56:620.191(045)
COBISS:	16688411
ISSN:	2212-8271
Views:	718
Downloads:	410
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	površinske napake;nadzor kakovosti;slikovni sistemi;razpoznavanje vzorcev;
Type (COBISS):	Article
Pages:	f. 771-774
Issue:	ǂVol. ǂ81
Chronology:	2019
DOI:	10.1016/j.procir.2019.03.192
ID:	11185817