DocumentCode
3221233
Title
A printed circuit board inspection system using artificial neural network
Author
Han, Chingping ; Mazouz, Kadel ; Saravanan, N.
Author_Institution
Dept. of Mech. Eng., Florida Atlantic Univ., Boca Raton, FL, USA
fYear
1993
fDate
7-9 Mar 1993
Firstpage
238
Lastpage
242
Abstract
The network is trained to distinguish between correct and faulty PCB assembly boards. The setup consists of a video camera, a robot, and a machine vision system along with an IBM PC. The backpropagation algorithm is used to train the network
Keywords
IBM computers; automatic optical inspection; backpropagation; microcomputer applications; neural nets; printed circuit testing; robot vision; video cameras; IBM PC; artificial neural network; assembly boards; backpropagation algorithm; machine vision system; printed circuit board inspection system; robot; video camera; Artificial intelligence; Artificial neural networks; Computer vision; Fault tolerance; Inspection; Machine vision; Manufacturing processes; Neural networks; Printed circuits; Robot vision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1993. Proceedings SSST '93., Twenty-Fifth Southeastern Symposium on
Conference_Location
Tuscaloosa, AL
ISSN
0094-2898
Print_ISBN
0-8186-3560-6
Type
conf
DOI
10.1109/SSST.1993.522778
Filename
522778
Link To Document