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Optical Engineering

Compact optical instrument for surface classification using self-mixing interference in a laser diode
Author(s): Sahin Kaya Ozdemir; Shigenobu Shinohara; Satoshi Ito; Hirofumi Yoshida
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Paper Abstract

A compact and noncontact sensor using the self-mixing interference inside a semiconductor laser is designed to classify moving surfaces. An artificial neural network is employed for the data processing. The results indicate more than 92% correct classification for eight different surfaces of different materials, different manufacturing methods and different surface roughnesses. The accuracy of the system is restricted by the localized irregularities on the surface and the mechanical instabilities of the carrying stage over which the surfaces are placed.

Paper Details

Date Published: 1 January 2001
PDF: 6 pages
Opt. Eng. 40(1) doi: 10.1117/1.1331268
Published in: Optical Engineering Volume 40, Issue 1
Show Author Affiliations
Sahin Kaya Ozdemir, Shizouka Univ. (Japan)
Shigenobu Shinohara, Shizuoka Univ. (Japan)
Satoshi Ito, Shizuoka Univ. (Japan)
Hirofumi Yoshida, Shizuoka Univ. (Japan)


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