Abstract
The importance of the inspection process has been magnified by the requirements of the modern manufacturing environment. In electronics mass-production manufacturing facilities, an attempt is often made to achieve 100 % quality assurance of all parts, subassemblies, and finished goods. A variety of approaches for automated visual inspection of printed circuits have been reported over the last two decades. In this survey, algorithms and techniques for the automated inspection of printed circuit boards are examined. A classification tree for these algorithms is presented and the algorithms are grouped according to this classification. This survey concentrates mainly on image analysis and fault detection strategies, these also include the state-of-the-art techniques. Finally, limitations of current inspection systems are summarized.
Recommended Citation
Moganti, Madhav; Erçal, Fikret; and Dagli, Cihan H., "Visual Inspection Algorithms for Printed Circuit Board Patterns A SURVEY" (1993). Computer Science Technical Reports. 48.
https://scholarsmine.mst.edu/comsci_techreports/48
Department(s)
Computer Science
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Printed Circuit Board; Reference Comparison; Graph Matching; Morphological Processing; Design-Rule Checking; Model- Based Technique; Feature Matching
Report Number
CSC-93-27
Document Type
Technical Report
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 1993 University of Missouri--Rolla, All rights reserved.
Publication Date
1993
