Vision System for Automatic Inspection of Solder Joints in Electronic Boards
Authors: 
Inigo Mendizabal-Arrieta, Hugo Alvarez, Garazi Alfaro, Daniel Aguinaga, Iban Galarraga, Inigo BarandiaranAuthors Info & Claims
Pages 108 - 114
Abstract
In this work, a vision system oriented to the quality inspection of solder joints in electronic boards is presented. The proposed vision system is composed of two cameras (one frontal and one lateral), to achieve a general view of the joints; a light source, to ensure good and robust lighting conditions; and a mobile system (i.e. 3-axis cartesian robot), to automatically move to each image capture position and get the optimal focus. Moreover, a classifier based on Artificial Intelligence is fed with the captured images to perform an automatic inspection of the soldering joints. The output for each one of them is the belonging to either a correct or incorrect joint group. The tests carried out with real samples show the validity of the proposed system for its future deployment in the factory.
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Index Terms
- Vision System for Automatic Inspection of Solder Joints in Electronic Boards
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Published In
May 2024
336 pages
ISBN:9798400716379
DOI:10.1145/3674029
Copyright © 2024 ACM.
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Association for Computing Machinery
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Publication History
Published: 11 September 2024
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ICMLT 2024
ICMLT 2024: 2024 9th International Conference on Machine Learning Technologies
May 24 - 26, 2024
Oslo, Norway
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