论文信息 - Automated Inspection of Flexible Assembly: System Design and Algorithm Research

Automated Inspection of Flexible Assembly: System Design and Algorithm Research

Quality control plays an important and key role in manufacturing process. This paper defines a problem realizing real-time quality control based on image processing and sensor network, divides the problem into four sub-problems, as well as puts forwards the overall schema to solve the problem. Then the first sub-problem, object recognition, is focused on, its system design pattern is presented, and main algorithms of each step are studied. Some experiment results are given to show the good performance of the proposed system for object recognition sub-problem.

Jian Zhou | Li Zheng | Peihan Wen | B. Clarke

[1] Bostjan Likar,et al. A machine vision system for measuring the eccentricity of bearings , 2003, Comput. Ind..

[2] Silvana G. Dellepiane,et al. Design and Implementation of Web-Based Systems for Image Segmentation and CBIR , 2006, IEEE Transactions on Instrumentation and Measurement.

[3] Franjo Pernus,et al. Machine vision system for inspecting electric plates , 2002, Comput. Ind..

[4] Dinggang Shen,et al. Affine invariant detection of perceptually parallel 3D planar curves , 2000, Pattern Recognit..

[5] Wen-Yen Wu,et al. Automated inspection of printed circuit boards through machine vision , 1996 .

[6] Theodora Varvarigou,et al. Automated inspection of gaps on the automobile production line through stereo vision and specular reflection , 2001, Comput. Ind..

[7] J. Zhou,et al. Spatial credibilistic clustering algorithm in noise image segmentation , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.