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Robot vision implementation by high-speed image processor TOSPIX: Battery inspection

Published online by Cambridge University Press:  09 March 2009

Yoshinori Kuno ,
Hideo Numagami ,
Minoru Ishikawa ,
Hiroshi Hoshino ,
Yasushi Nakamura  and
Masatsugu Kidode
Yoshinori Kuno
Affiliation:
TOSHIBA Research and Development Center, Information Systems Laboratory, 1, Komukai Toshiba-cho, Saiwai-ku Kawasaki 210, Japan
Hideo Numagami
Affiliation:
TOSHIBA Research and Development Center, Information Systems Laboratory, 1, Komukai Toshiba-cho, Saiwai-ku Kawasaki 210, Japan
Minoru Ishikawa
Affiliation:
TOSHIBA Research and Development Center, Information Systems Laboratory, 1, Komukai Toshiba-cho, Saiwai-ku Kawasaki 210, Japan
Hiroshi Hoshino
Affiliation:
TOSHIBA Research and Development Center, Information Systems Laboratory, 1, Komukai Toshiba-cho, Saiwai-ku Kawasaki 210, Japan
Yasushi Nakamura
Affiliation:
TOSHIBA Research and Development Center, Information Systems Laboratory, 1, Komukai Toshiba-cho, Saiwai-ku Kawasaki 210, Japan
Masatsugu Kidode
Affiliation:
TOSHIBA Research and Development Center, Information Systems Laboratory, 1, Komukai Toshiba-cho, Saiwai-ku Kawasaki 210, Japan
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Summary

This paper presents an intelligent robot vision system using TOSPIX which has been newly developed to realize frequently-used and time-consuming image processing functions at low-cost and high-speed. The vision system has been studied for use in observing surface information about electric parts (dry batteries), inspecting them and then placing good ones into a given box. Three major robot vision functions are implemented here: object recognition, inspection and position determination by binary and gray-scale image processing techniques. While binary image techniques are used in battery terminal inspection and box position determination gray-scale image processing functions are performed in a label pattern check on a battery surface, front or rear surface determination, and surface defect inspection.

Type
Article
Information
Robotica , Volume 1 , Issue 4 , October 1983 , pp. 223 - 230
Copyright
Copyright © Cambridge University Press 1983

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References

1.Kidode, M., “Image processing machines in Japan” IEEE Computer 16, 68 (1983).CrossRefGoogle Scholar
2.Mori, K. et al. , “Design of local parallel pattern processor” AFIPS Conf. Proc. 47, 1025 (1978).Google Scholar
3.Kidode, M. et al. , “Image processing unit hardware implementation” in Real-Time/Parallel Computing (Onoe, M. et al. , eds.) (Plenum Press, New York, USA, 1981).Google Scholar
4.Asada, H. et al. , “New image processing hardwares and their applications to industrial automation” SPIE Proc. 182, 14 (1979).CrossRefGoogle Scholar