DISTANCE AND DISPLACEMENT MEASUREMENTS BY LASER TECHNIQUE

Compact optical instrument for surface classification using self-mixing interference in a laser diode

[+] Author Affiliations
S¸ahin Kaya O¨zdemir, Shigenobu Shinohara, Satoshi Ito, Sotetsu Takamiya, Hirofumi Yoshida

Shizuoka University, Hamamatsu, 432-8561?Japan E-mail: tdsshin@ipc.shizuoka.ac.jp

Opt. Eng. 40(1), 38-43 (Jan 01, 2001). doi:10.1117/1.1331268
History: Received May 1, 2000; Accepted June 10, 2000
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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. © 2001 Society of Photo-Optical Instrumentation Engineers.

© 2001 Society of Photo-Optical Instrumentation Engineers

Citation

S¸ahin Kaya O¨zdemir ; Shigenobu Shinohara ; Satoshi Ito ; Sotetsu Takamiya and Hirofumi Yoshida
"Compact optical instrument for surface classification using self-mixing interference in a laser diode", Opt. Eng. 40(1), 38-43 (Jan 01, 2001). ; http://dx.doi.org/10.1117/1.1331268


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