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JRM Vol.7 No.3 pp. 234-237
doi: 10.20965/jrm.1995.p0234
(1995)

Development Report:

High-Speed Machine Vision System Based on Human Sensibility Analysis for Automotive Cluster Dial Inspection

Yoshio Yokoyama and Eiji Ichihashi

Production Eng. R&D Dept., Nippondenso Co., Ltd., 1-1, Showa-cho, Kariya; Aichi, 448 Japan

Received:
February 8, 1995
Accepted:
February 17, 1995
Published:
June 20, 1995
Keywords:
Visual inspection, Defect, Human sensibility, Machine vision
Abstract

This paper addresses with the problems in automated visual inspection of automotive instrument cluster dials for which appearance quality criteria are based on human sensibility. By analyzing the experimental human visual sensibility for defects, two types of defect identification method are proposed for pinhole and for particle and scratch. To execute these identification methods in real-time, a pipelined image processor composed of FPGA boards has been newly developed and introduced into the dial manufacturing line as an automatic inspection system. The result of test operation was satisfactory.

Cite this article as:
Yoshio Yokoyama and Eiji Ichihashi, “High-Speed Machine Vision System Based on Human Sensibility Analysis for Automotive Cluster Dial Inspection,” J. Robot. Mechatron., Vol.7, No.3, pp. 234-237, 1995.
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