DocumentCode :
2244164
Title :
Automated visual inspection system of automobile doors and windows using the adaptive feature extraction
Author :
Chung, YunKoo ; Kim, KiHong
Author_Institution :
Syst. Eng. Res. Inst., Taejon, South Korea
Volume :
3
fYear :
1998
fDate :
21-23 Apr 1998
Firstpage :
286
Abstract :
We applied a machine vision technique to the assembly line of automobile. The volume of a car is very large. The overall machine vision environment is poor. The position and orientation of target is changed continuously. There are so many unexpected cases happening in inspection. Our system overcame the various poor conditions and achieved 99% of accuracy in the assembly line, using adaptive feature extraction method
Keywords :
adaptive signal processing; automatic optical inspection; automobile industry; feature extraction; adaptive feature extraction; assembly line; automated visual inspection system; automobile doors; automobile windows; Acoustic noise; Assembly systems; Automobiles; Automotive engineering; Costs; Feature extraction; Inspection; Lighting; Machine vision; Optical reflection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-4316-6
Type :
conf
DOI :
10.1109/KES.1998.725985
Filename :
725985
Link To Document :
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