Colour-assisted PCB Inspection System with Hardware Support for Real-time Environment

DOI

10.2991/978-94-6463-094-7_25How to use a DOI?

Keywords

image processing; image subtraction; defect detection; colour segmentation

Abstract

Printed Circuit Boards (PCBs) are crucial functional components in electrical devices that require inspection during production to prevent faulty products. However, Automated Optical Inspection (AOI) machines for PCB inspection are costly, especially for small production lines. Previous studies showed that image processing and computer vision techniques could provide cheaper alternatives for PCB optical inspection, albeit with the respective limitations in the research field. The proposed project combines the development of a colour-assisted image subtraction algorithm with the use of hardware support to produce a complete system with PCB counting and major missing component detection functions for the real-time environment. The hardware aspect included the use of the Raspberry Pi, a USB camera, a sensor-equipped conveyor and a custom camera stand to address several limitations in the research field. Testing and validation procedures were performed on the complete system such as function validation and comparative testing. The results of the experimental test procedures showed promising results with the average accuracy exceeding 90% for both the PCB counting and the major missing component detection functions. Overall, the project explored the use of colour in computer vision for PCB inspection, with hardware support for the real-time environment that could be expanded in future work.

Copyright

© 2022 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - H. S. Lim
AU  - Y. L. Lee
AU  - K. M. Yap
AU  - M. H. Lin
AU  - T. K. Lian
PY  - 2022
DA  - 2022/12/27
TI  - Colour-assisted PCB Inspection System with Hardware Support for Real-time Environment
BT  - Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
PB  - Atlantis Press
SP  - 313
EP  - 330
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-094-7_25
DO  - 10.2991/978-94-6463-094-7_25
ID  - Lim2022
ER  -