Automated PCB defect detection fabricated by CNC machine: a novel approach integrating image processing and homography transformation | [Second International Conference on Computing Technologies, Tools and Applications (ICTAPP-24), June 4-6,2024 (Abstract Book) • 2024]

Author(s):

1. Haroon Jan Khan: Department of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Abbottabad Campus,,Pakistan

2. Jawad Saleem: Department of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Abbottabad Campus,,Pakistan

3. Anooshay Niazi: Department of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Abbottabad Campus,,Pakistan

4. Syed Nasir Shah: School of Energy and Electrical Engineering, Chang'an University,Xi'an 710064, Shaanxi,China

5. Tariq: School of Energy and Electrical Engineering, Chang'an University,Xi'an 710064, Shaanxi,China

Abstract:

Achieving 100% defect-free Printed Circuit Boards (PCBs) is imperative in modern manufacturing. The demand for PCB inspection has surged, prompting advancements in CNC machine technology. This project focuses on comparing PCBs fabricated by a 3-axis CNC machine, employing image processing techniques, including Homography transformation, to detect defects. Misalignment poses a significant challenge during comparison. Utilizing a TB-6560 controller, PCBs are automatically fabricated, and images are captured for analysis in MATLAB. Various image processing algorithms, along with Homography transformation, are applied to detect defects and address misalignment issues. The study also evaluates the precision of the CNC machine.

Page(s): 1-1

DOI: DOI not available

Published: Journal: Second International Conference on Computing Technologies, Tools and Applications (ICTAPP-24), June 4-6,2024 (Abstract Book), Volume: 0, Issue: 0, Year: 2024

Keywords:

Image Processing , MATLAB , Automated Inspection of PCB , Computer Numerical Control CNC , Homography Transform , Hough Transform , Misalignment , Printed Circuit Boards PCB , XORing Images

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