Online inspection for parts in intelligent manufacturing system

Yingen Xiong

doi:10.1117/12.382916

14 April 2000 Online inspection for parts in intelligent manufacturing system

Yingen Xiong

Proceedings Volume 3962, Applications of Artificial Neural Networks in Image Processing V; (2000) https://doi.org/10.1117/12.382916
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

In this paper, a new online inspection method for part configuration and surface is presented by combining computer vision and neural networks. Different from conventional contact measurement, it is non-contact measurement method, and it can operate on-line. In this method, the 3D configuration and surface of part are reconstructed from stereo image pair taken by computer vision system. The architecture for parallel implementation of part measurement system is developed using neural networks. Several relevant approaches including system calibration, stereo matching, and 3D reconstruction are constructed using neural networks. Instead of conventional system calibration method that needs complicated iteration calculation process, the new system calibration approach is presented using BP neural network.

Citation Download Citation

Yingen Xiong "Online inspection for parts in intelligent manufacturing system", Proc. SPIE 3962, Applications of Artificial Neural Networks in Image Processing V, (14 April 2000); https://doi.org/10.1117/12.382916

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