A Printed Circuit Board Inspection System With Defect Classification Capability

Published:

August 15, 2013

Author:

I. Ibrahim, S. Bakar, M. Mokji, J. Mukred, Z. Yusof, Z. Ibrahim, K. Khalil, M. Mohamad

Abstract:

An automated visual PCB inspection is an approach used to counter difficulties occurred in human’s manual inspection that can eliminates subjective aspects and then provides fast, quantitative, and dimensional assessments. In this study, referential approach has been implemented on template and defective PCB images to detect numerous defects on bare PCBs before etching process, since etching usually contributes most destructive defects found on PCBs. The PCB inspection system is then improved by incorporating a geometrical image registration, minimum thresholding technique and median filtering in order to solve alignment and uneven illumination problem. Finally, defect classification operation is employed in order to identify the source for six types of defects namely, missing hole, pin hole, underetch, short-circuit, mousebite, and open-circuit....

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Company Information:

The FKE was established in late 1974. Since 1st June 1995, the faculty commences operation at the main campus of the University in Skudai, Johor until today.

Johor, Malaysia

Research Institute / Laboratory / School

  • Phone +607–553-0692
  • Fax +607 – 557-0815

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