Title :
On the chip implementation of analogic algorithms for optical detection of some layout errors of printed circuit boards
Author :
Tömördi, Katalin ; Foldesy, Peter ; Szolgay, Péter
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
Printed circuit board layout inspection methods are mostly based on local geometric information, therefore they are well suited to the cellular neural networks (CNN) paradigm. The wire break, the wire and isolation width violation and an “H” type short circuits detector analogic algorithms were tested on a 20*22 CNN Universal Machine (CNNUM) chip working in the CNN Chip Prototyping System (CCPS) and on the CNN Engine Board (CNNEB), and the results were compared to the commercially available inspection systems
Keywords :
CMOS analogue integrated circuits; analogue processing circuits; automatic optical inspection; cellular neural nets; neural chips; printed circuit layout; printed circuit testing; CCPS; CMOS technology; CNN Chip Prototyping System; CNN Engine Board; CNN Universal Machine; CNNEB; CNNUM; H-type short circuits; PCB; analogic algorithms; cellular neural networks; chip implementation; isolation width violation; layout errors; optical detection; printed circuit board layout inspection; wire break; wire width violation; Cellular neural networks; Circuit testing; Detectors; Geometrical optics; Inspection; Optical computing; Printed circuits; System testing; Turing machines; Wire;
Conference_Titel :
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
0-7803-4867-2
DOI :
10.1109/CNNA.1998.685356
