Optoelectronic neural system for vision applications

Marta Ruiz-Llata; Horacio Lamela

doi:10.1117/1.1812534

1 December 2004 Optoelectronic neural system for vision applications

Marta Ruiz-Llata, Horacio Lamela

Author Affiliations +

Optical Engineering, Vol. 43, Issue 12, (December 2004). https://doi.org/10.1117/1.1812534

Abstract

We present the first implementation, results, and performance analysis of a vision system whose processing core is a prototype hardware neural network based on an optical broadcast architecture. The system captures an image by a CMOS image sensor, compares it with a set of sample patterns (classes), and provides an output that indicates the class which the input image corresponds to. Due to the optoelectronic neural processor characteristics, the number of classes can be enlarged without penalty on the operation speed of the system.

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Marta Ruiz-Llata and Horacio Lamela "Optoelectronic neural system for vision applications," Optical Engineering 43(12), (1 December 2004). https://doi.org/10.1117/1.1812534

Published: 1 December 2004

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