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A visual inspection system for KTL coatings
ID
Bračun, Drago
(
Author
),
ID
Lekše, Igor
(
Author
)
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MD5: 40BC8F1F874E27A62A9F84F316DD5D65
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https://www.sciencedirect.com/science/article/pii/S2212827119304974
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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.
Language:
English
Keywords:
KTL
,
surface defect
,
inspection
,
imaging system
,
pattern recognition
,
cluster
Work type:
Article
Typology:
1.08 - Published Scientific Conference Contribution
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2019
Number of pages:
f. 771-774
Numbering:
Vol. 81
PID:
20.500.12556/RUL-108466
UDC:
658.56:620.191(045)
ISSN on article:
2212-8271
DOI:
10.1016/j.procir.2019.03.192
COBISS.SI-ID:
16688411
Publication date in RUL:
03.07.2019
Views:
2760
Downloads:
626
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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
Record is a part of a journal
Title:
Procedia CIRP
Publisher:
Elsevier
ISSN:
2212-8271
COBISS.SI-ID:
12981019
Secondary language
Language:
Slovenian
Keywords:
površinske napake
,
nadzor kakovosti
,
slikovni sistemi
,
razpoznavanje vzorcev
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0270
Name:
Proizvodni sistemi, laserske tehnologije in spajanje materialov
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