Title :
A visual inspection-diagnosis expert system for printed circuit boards: Reverse engineering
Author :
Moghaddamzadeh, A. ; Bourbakis, N.
Author_Institution :
Dept. of EE, Binghamton Univ., NY, USA
Abstract :
An automatic visual inspection-diagnosis expert system based on knowledge extraction and acquisition is presented. Images of a PC-board are grabbed and fed to the system. The main goal of the system is to acquire the functional behavior of the PC-board and compare the results with experimental ones. The sytem can also respond to other user queries. The secondary goal would be to detect any type of physical or behavioral defects that may be present on the board
Keywords :
automatic optical inspection; circuit analysis computing; diagnostic expert systems; image processing; knowledge acquisition; printed circuits; reverse engineering; Reverse engineering; automatic visual inspection-diagnosis expert system; behavioral defects; functional behavior; image grabbing; knowledge acquisition; knowledge extraction; physical defect detection; printed circuit boards; user queries; Artificial intelligence; Capacitors; Expert systems; Image analysis; Image edge detection; Inspection; Notice of Violation; Printed circuits; Reverse engineering; Shape;
Conference_Titel :
Tools with Artificial Intelligence, 1993. TAI '93. Proceedings., Fifth International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-8186-4200-9
DOI :
10.1109/TAI.1993.633986
