International Cyber Resilience conference

Title

Object Discrimination Using a Multi-Wavelength Photonic Sensor .

Document Type

Conference Proceeding

Publisher

School of Computer and Information Science, Security Research Centre, Edith Cowan University, Perth, Western Australia

Comments

Originally published in the Proceedings of the 1st International Cyber Resilience Conference, Edith Cowan University, Perth Western Australia, 23rd August 2010

Abstract

A bench prototype photonic-based sensor for object discrimination is described. A combination module, which allows five laser diodes of different wavelengths to overlap and sequentially emit identically-polarised light beams through a common aperture, is presented. The key visible and infrared wavelengths are selected from sample objects spectral signatures. A cylindrical optical quasi-cavity structure is designed to generate 15 laser spots for each laser. The intensity of the reflected light from each spot is detected by a high speed line scan image sensor. Object discrimination is accomplished by calculating the slope values between selected wavelengths in the blue to infrared range.

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