An automated Printed Circuit Board (PCB) defects detection system

The study aims to develop an automated system leveraging modern machine learning techniques to identify defects in printed circuit boards (PCBs). Defects such as shorts, spurious copper, and missing holes can significantly compro-mise electronic devices’ reliability and performance. Traditional manu...

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Bibliographic Details

Main Authors:	Kamaruddin, Shafie, Shamsulamri, Saiffaqrullah, Sharwazi, Muhammad Haziq Fakhri, Suhaimi, Muhammad Harith Ikhmal, Mohamad, Muhamad Ariff Othmani, Sukindar, Nor Aiman, Ahmad Azhar, Ahmad Zahirani
Format:	Proceeding Paper
Language:	en
Published:	Springer 2025
Subjects:	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) TJ212 Control engineering
Online Access:	http://irep.iium.edu.my/121243/1/121243_An%20automated%20Printed%20Circuit%20Board.pdf http://irep.iium.edu.my/121243/ https://link.springer.com/chapter/10.1007/978-981-96-3814-7_41
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