JOURNAL ARTICLE

Printed circuit board inspection using image analysis

Horng‐Hai LohMing-Sing Lu

Year: 1999 Journal:   IEEE Transactions on Industry Applications Vol: 35 (2)Pages: 426-432   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Computer vision has been widely used in the online inspection of electronic components. In this paper, the authors present a computer vision system using structured lighting, which provides them with an efficient solution for solder joint inspection. Their system uses a novel structured-lighting inspection technology to overcome some difficulties that traditional computer vision systems often experience. They developed a slant map surface shape estimation technique for the solder joint. From this technique, a solder joint can be determined to be a good (concave), bad (convex), bridged solder joint, or solder joint with surplus solder, or lacking solder.

Keywords:
Soldering Printed circuit board Joint (building) Automated optical inspection Computer science Surface-mount technology Engineering drawing Machine vision Image processing Artificial intelligence Solder paste Computer vision Engineering Image (mathematics) Materials science Structural engineering

Metrics

95
Cited By
3.18
FWCI (Field Weighted Citation Impact)
7
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Optical measurement and interference techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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