Social and Behavioral Sciences Commons^™

Object Discrimination Using A Multi-Wavelength Photonic Sensor, Kavitha Venkataraayan, Sreten Askraba, Kamal E. Alameh, Clifton L. Smith

International Cyber Resilience conference

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.