Automatic device for reading and identification of symbolic information

V. S. Bazin; L. V. Finogenov; S. A. Gulyaevsky; I. V. Plekhanova; D. N. Poteev; Yu. S. Schulman; Alexander G. Verkhogliad; N. G. Zagoruiko; M. Y. Zaitsev

doi:10.1117/12.484621

29 July 2002 Automatic device for reading and identification of symbolic information

V. S. Bazin, L. V. Finogenov, S. A. Gulyaevsky, I. V. Plekhanova, D. N. Poteev, Yu. S. Schulman, Alexander G. Verkhogliad, N. G. Zagoruiko, M. Y. Zaitsev

Author Affiliations +

Proceedings Volume 4900, Seventh International Symposium on Laser Metrology Applied to Science, Industry, and Everyday Life; (2002) https://doi.org/10.1117/12.484621
Event: Seventh International Symposium on Laser Metrology Applied to Science, Industry, and Everyday Life, 2002, Novosibirsk, Russian Federation

Abstract

Description of an automatic device for reading of symbolic information from the surface of fabricated metal products in line production and its identification are presented. Construction and structure these devices provide its good embedding into processing line. Original form of diffuse illuminant and peculiarity of optical scheme allow receiving qualitative code surface imaging independently of external illumination. The problems occurring in reading and processing of information from non-planar surfaces are discussed. The report offers concrete means and ways of their decision. The original algorithm, which was used for reliability enhancement of reading the information under time limited conditions provided high (more then 93%) probability of identification. The time of reading of symbol code and its identification are about five seconds. The device test results are also presented here.

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V. S. Bazin, L. V. Finogenov, S. A. Gulyaevsky, I. V. Plekhanova, D. N. Poteev, Yu. S. Schulman, Alexander G. Verkhogliad, N. G. Zagoruiko, and M. Y. Zaitsev "Automatic device for reading and identification of symbolic information", Proc. SPIE 4900, Seventh International Symposium on Laser Metrology Applied to Science, Industry, and Everyday Life, (29 July 2002); https://doi.org/10.1117/12.484621

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KEYWORDS

Reflection

Mirrors

Reflectors

Information technology

Image processing

Image quality

Reliability

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