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Optical Engineering

Optoelectronic neural system for vision applications
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Paper 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.

Paper Details

Date Published: 1 December 2004
PDF: 2 pages
Opt. Eng. 43(12) doi: 10.1117/1.1812534
Published in: Optical Engineering Volume 43, Issue 12
Show Author Affiliations
Marta Ruiz-Llata, Univ. Carlos III de Madrid (Spain)
Horacio Lamela, Univ. Carlos III de Madrid (Spain)

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