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

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 differen...

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Published in:Optical Engineering 2001-01, Vol.40 (1), p.38-43
Main Authors: O¨zdemir, S¸ahin Kaya, Shinohara, Shigenobu, Ito, Satoshi, Takamiya, Sotetsu, Yoshida, Hirofumi
Format: Article
Language:English
Subjects:
artificial neural network
optical feedback
optical sensor
self-mixing laser diode
semiconductor lasers
surface classification
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description 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. ©
doi_str_mv 10.1117/1.1331268
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source SPIE_国际光学工程学会期刊
subjects artificial neural network
optical feedback
optical sensor
self-mixing laser diode
semiconductor lasers
surface classification
title Compact optical instrument for surface classification using self-mixing interference in a laser diode
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