Journal
JOURNAL OF COATINGS TECHNOLOGY AND RESEARCH
Volume 16, Issue 4, Pages 1033-1042Publisher
SPRINGER
DOI: 10.1007/s11998-018-00178-y
Keywords
Paint defect detection; Surface inspection; Specular surface; Painted car body; Quality control
Ask authors/readers for more resources
Increasing expectations of customers on the appearance of cars force the automotive paint shops to inspect all car bodies with great care. Currently, skilled workers visually inspect each car body to detect and repair occurring paint defects. However, humans can neither detect nor judge the blemishes objectively and reliably over a longer period. Hence, this paper focuses on the development and validation of an algorithm for a surface inspection system, which improves the accuracy of detecting paint defects through an image processing system. Once they are detected, a reliable classifier is necessary to gain further information about the paint defects. The generated data can be utilized for improving the paint application process and for identifying the perpetrator of the paint defects once the defect classification is operational. As a consequence, the quality control circuit can be shortened, the surface quality of different paint formulae can be evaluated objectively, and actions can be taken in order to reduce the occurrences of certain defect types. This paper presents the physical setup of the visual inspection system and a detailed description of the algorithm for detecting the defects in the acquired images. Further research is essential to generate a classifier to differentiate the types of paint defects.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available