Title :
The method of intelligent inspection of product quality based on computer vision
Author :
Tai-shan, Yan ; Du-wu, Cui
Author_Institution :
Inst. of Autom. Sci., Xi´´an Univ. of Technol.
Abstract :
The technique of automated visual inspection is a new development in computer inspection. It has many advantages such as no touching with inspected objects, high speed, high efficiency and good flexibility, etc. So it has extensive applied foreground in the modern automatic inspection of product quality. This paper introduces the general structure of the computer vision inspection system, expounds the realization method of an on-line crack inspection system of glass bottles, which combines with neural network principle. The system´s ability to learn itself and adapt itself is very powerful, it has realized a quick and exact inspection of the on-line glass bottles´ crack successfully
Keywords :
automatic optical inspection; computer vision; crack detection; glass industry; neural nets; computer vision inspection system; intelligent automated visual inspection; neural network; online glass bottle crack inspection system; product quality; Automation; Biological neural networks; Charge-coupled image sensors; Computer vision; Glass products; Image analysis; Image processing; Inspection; Object detection; Optical computing;
Conference_Titel :
Computer-Aided Industrial Design and Conceptual Design, 2006. CAIDCD '06. 7th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
1-4244-0683-8
Electronic_ISBN :
1-4244-0684-6
DOI :
10.1109/CAIDCD.2006.329469