Close coupling of pre- and post-processing vision stations using inexact algorithms

Chi-Hsien Victor Shih; Nasser Sherkat; Peter D. Thomas

doi:10.1117/12.232251

21 February 1996 Close coupling of pre- and post-processing vision stations using inexact algorithms

Chi-Hsien Victor Shih, Nasser Sherkat, Peter D. Thomas

Proceedings Volume 2665, Machine Vision Applications in Industrial Inspection IV; (1996) https://doi.org/10.1117/12.232251
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Work has been reported using lasers to cut deformable materials. Although the use of laser reduces material deformation, distortion due to mechanical feed misalignment persists. Changes in the lace patten are also caused by the release of tension in the lace structure as it is cut. To tackle the problem of distortion due to material flexibility, the 2VMethod together with the Piecewise Error Compensation Algorithm incorporating the inexact algorithms, i.e., fuzzy logic, neural networks and neural fuzzy technique, are developed. A spring mounted pen is used to emulate the distortion of the lace pattern caused by tactile cutting and feed misalignment. Using pre- and post-processing vision systems, it is possible to monitor the scalloping process and generate on-line information for the artificial intelligence engines. This overcomes the problems of lace distortion due to the trimming process. Applying the algorithms developed, the system can produce excellent results, much better than a human operator.

Citation Download Citation

Chi-Hsien Victor Shih, Nasser Sherkat, and Peter D. Thomas "Close coupling of pre- and post-processing vision stations using inexact algorithms", Proc. SPIE 2665, Machine Vision Applications in Industrial Inspection IV, (21 February 1996); https://doi.org/10.1117/12.232251

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