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 past 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 state-of-the-art techniques. A summary of the commercial PCB inspection systems is also presented. © 1996 Academic Press, Inc.
Recommended Citation
M. Moganti et al., "Automatic PCB Inspection Algorithms: A Survey," Computer Vision and Image Understanding, vol. 63, no. 2, pp. 287 - 313, Elsevier, Jan 1996.
The definitive version is available at https://doi.org/10.1006/cviu.1996.0020
Department(s)
Computer Science
Second Department
Engineering Management and Systems Engineering
International Standard Serial Number (ISSN)
1077-3142
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Publication Date
01 Jan 1996
Included in
Computer Sciences Commons, Operations Research, Systems Engineering and Industrial Engineering Commons
