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Titolo:
Compact optical instrument for surface classification using self-mixing interference in a laser diode
Autore:
Ozdemir, SK; Shinohara, S; Ito, S; Takamiya, S; Yoshida, H;
Indirizzi:
Shizuoka Univ, Grad Sch Sci & Engn, Hamamatsu, Shizuoka 432, Japan Shizuoka Univ Hamamatsu Shizuoka Japan 432 Hamamatsu, Shizuoka 432, Japan
Titolo Testata:
OPTICAL ENGINEERING
fascicolo: 1, volume: 40, anno: 2001,
pagine: 38 - 43
SICI:
0091-3286(200101)40:1<38:COIFSC>2.0.ZU;2-G
Fonte:
ISI
Lingua:
ENG
Soggetto:
SPECKLE VELOCIMETER; ROUGHNESS; SENSOR; RANGE;
Keywords:
optical feedback; semiconductor lasers; surface classification; artificial neural network; optical sensor; self-mixing laser diode;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
--discip_EC--
Citazioni:
17
Recensione:
Indirizzi per estratti:
Citazione:
S.K. Ozdemir et al., "Compact optical instrument for surface classification using self-mixing interference in a laser diode", OPT ENG, 40(1), 2001, pp. 38-43

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. (C) 2001 Society of Photo-Optical Instrumentation Engineers.

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Documento generato il 06/04/20 alle ore 01:26:44