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Detection of defects in automotive metal components through computer vision
- Source :
- 2008 IEEE International Symposium on Industrial Electronics.
- Publication Year :
- 2008
- Publisher :
- IEEE, 2008.
-
Abstract
- This article introduces the progresses made on the development of an automatic visual inspection for automotive metal components. These components may present three types of defects, which are: central hole closed or partially closed; absence of thread on the bolts; burr on the weld connections. For each type of defect different image processing and analysis algorithms were tested and a specific setup (type and pose of the cameras and illumination) was developed. The results suggest a good efficiency of the vision system and its potential full spreading industrialization.
- Subjects :
- Engineering
Science & Technology
Pixel
business.industry
Machine vision
Automotive industry
Image processing
02 engineering and technology
Welding
Thread (computing)
law.invention
Automatic test equipment
law
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Algorithm design
Computer vision
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2008 IEEE International Symposium on Industrial Electronics
- Accession number :
- edsair.doi.dedup.....6cf2f48b531b72f3aa059391f49bf14a