Title :
Visual inspection of workpiece quality
Author :
Tang, Xiang-Na ; Wang, Yao-Nan
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Abstract :
A machine-vision-based intelligent automatic inspector for workpiece quality is presented. The mechanical structure and electric control system are illustrated in detail. An algorithm based on geometrical dimension measurement is proposed and an algorithm using the center of gravity of the workpiece is applied to locate the inspection area. According to the characteristics of workpiece, a reasonable and effective light and illumination system is designed and inspection software was developed on the platform of VC++ EDI. Experiments of the inspection performed on-line have proven the value of the proposed algorithms in automatic real-time inspection.
Keywords :
automatic optical inspection; computer vision; production engineering computing; quality control; structural engineering; VC++ EDI; automatic real-time inspection; center of gravity; electric control system; geometrical dimension measurement; inspection area; inspection software; machine-vision-based intelligent automatic inspector; mechanical structure; online inspection; visual inspection; workpiece quality; Gravity; Industries; Inspection; Machine vision; Production; Real time systems; Software algorithms; center of gravity method; dimension measurement; image processing; machine vision; minimum circumscribed circle; workpiece quality inspector;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2011 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-61284-879-2
DOI :
10.1109/IASP.2011.6109078
