Title :
Optical detection of breaks and short circuits on the layouts of printed circuit boards using CNN
Author :
P. Szolgay;K. Tomordi
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
The printed circuit board layout inspection methods are mostly based on local geometric information, therefore it is well suited to the cellular neural network (CNN) paradigm. Two layout errors are detected here namely, the breaks in the wires and some kind of short circuits. The designed analogic algorithms to solve the problems above were tested on real life examples using an experimental system based on our CNN-HAC1M digital multiprocessor add-on-board, with 1 million cell space and 2.0 /spl mu/s/cell/iteration speed.
Keywords :
"Optical detectors","Cellular neural networks","Geometrical optics","Optical computing","Printed circuits","Inspection","Wires","Algorithm design and analysis","Circuit testing","Life testing"
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566498
