The design of a low cost high speed RAM based neural network PC- expansion board using standard components is presented. The hardware board implements an architecture similar to the WISARD architecture. The system is based upon a number of look up tables addressed by the input patterns. In order to obtain a fast implementation some constraints are imposed on the addressing scheme of the look up tables. Test results have shown that the classification performance is not significantly deteriorated by these constraints. The hardware provides a new classification every 180 microsecond(s) . The application of the board to image processing tasks is discussed. The board has successfully been applied to visual guidance of an evisceration robot and, handwritten character recognition. Results for these different tasks are briefly presented.

Date Published: 3 October 1994
PDF: 8 pages
Proc. SPIE 2347, Machine Vision Applications, Architectures, and Systems Integration III, (3 October 1994); doi: 10.1117/12.188728

Published in SPIE Proceedings Vol. 2347:
Machine Vision Applications, Architectures, and Systems Integration III
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)