Abstract
There are more than 50 process steps required to fabricate a printed circuit board (PCB). To ensure quality, human operators simply inspect the work visually against prescribed standards. The decisions made by this labor intensive, and therefore costly, procedure often also involve subjective judgements. Automatic inspection systems remove the subjective aspects and provide fast, quantitative dimensional assessments. Machine vision may answer the manufacturing industry's need to improve product quality and increase productivity. The major limitation of existing inspection systems is that all the algorithms need a special hardware platform to achieve the desired real-time speeds. This makes the systems extremely expensive. Any improvements in speeding up the computation process algorithmically could reduce the cost of these systems drastically. However, they remain a better option than increasingly error prone, and slow manual human inspection
Recommended Citation
M. Moganti and F. Erçal, "Automatic PCB Inspection Systems," IEEE Potentials, Institute of Electrical and Electronics Engineers (IEEE), Jan 1995.
The definitive version is available at https://doi.org/10.1109/45.464686
Department(s)
Computer Science
Keywords and Phrases
Algorithms; Automatic PCB Inspection Systems; Automatic Optical Inspection; Computation Process; Computer Vision; Cost; Defects; Flaw Detection; Hardware Platform; Infrared Imaging; Inspection; Machine Vision; Manual Human Inspection; Printed Circuit Manufacture; Printed Circuit Testing; Product Quality; Productivity; Real-Time Speeds; Scanned Beam Laminography; Subjective Aspects; Thermal Imaging; Ultrasonic Imaging; X-Ray Imaging
International Standard Serial Number (ISSN)
0278-6648
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 1995 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 1995
