Printed circuit board inspection using wavelet-based technique

Malaysia is a well-known country with high quality productions in electronic manufacturing industry. One of the backbones in electronic manufacturing industry is the Printed Circuit Board (PCB) manufacturing. Current practice in PCB manufacturing requires etching. This process is irreversible. Print...

Full description

Saved in:
Bibliographic Details
Main Author: Ibrahim, Zuwairie
Format: Thesis
Language:English
Published: 2002
Subjects:
Online Access:http://eprints.utm.my/id/eprint/6678/1/ZuwairieIbrahimMFKE2002.PDF
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utm-ep.6678
record_format uketd_dc
spelling my-utm-ep.66782018-09-27T04:03:40Z Printed circuit board inspection using wavelet-based technique 2002-06 Ibrahim, Zuwairie TK Electrical engineering. Electronics Nuclear engineering Malaysia is a well-known country with high quality productions in electronic manufacturing industry. One of the backbones in electronic manufacturing industry is the Printed Circuit Board (PCB) manufacturing. Current practice in PCB manufacturing requires etching. This process is irreversible. Printing, which is done before etching, caused most of the destructive defects found on the PCB. Once the laminate is etched, the defects, if exist would cause the PCB laminate to be of no use. Due to the fatigue and speed requirement, manual inspection is ineffective in inspecting every printed laminate. Therefore, manufacturers require an automated system to perform online defect detection which may occur during the printing. Hence, this project proposes an algorithm for automated visual PCB inspection that is able to automatically detect and locate any defect on a PCB laminate. Numerous approaches have been discussed in the literature so far but this work introduces a technique that is based on wavelets and multiresolution analysis. The inspection could be speed up by introducing wavelet-based algorithm for PCB defect detection and localization. The defect is detected by utilizing wavelet-based image difference algorithm. The detected defect is essential to locate the defective area on the tested PCB image. The ultimate goal of this project is to ensure the system can perform in a real-time environment with high performance. 2002-06 Thesis http://eprints.utm.my/id/eprint/6678/ http://eprints.utm.my/id/eprint/6678/1/ZuwairieIbrahimMFKE2002.PDF application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62378 masters Universiti Teknologi Malaysia Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Ibrahim, Zuwairie
Printed circuit board inspection using wavelet-based technique
description Malaysia is a well-known country with high quality productions in electronic manufacturing industry. One of the backbones in electronic manufacturing industry is the Printed Circuit Board (PCB) manufacturing. Current practice in PCB manufacturing requires etching. This process is irreversible. Printing, which is done before etching, caused most of the destructive defects found on the PCB. Once the laminate is etched, the defects, if exist would cause the PCB laminate to be of no use. Due to the fatigue and speed requirement, manual inspection is ineffective in inspecting every printed laminate. Therefore, manufacturers require an automated system to perform online defect detection which may occur during the printing. Hence, this project proposes an algorithm for automated visual PCB inspection that is able to automatically detect and locate any defect on a PCB laminate. Numerous approaches have been discussed in the literature so far but this work introduces a technique that is based on wavelets and multiresolution analysis. The inspection could be speed up by introducing wavelet-based algorithm for PCB defect detection and localization. The defect is detected by utilizing wavelet-based image difference algorithm. The detected defect is essential to locate the defective area on the tested PCB image. The ultimate goal of this project is to ensure the system can perform in a real-time environment with high performance.
format Thesis
qualification_level Master's degree
author Ibrahim, Zuwairie
author_facet Ibrahim, Zuwairie
author_sort Ibrahim, Zuwairie
title Printed circuit board inspection using wavelet-based technique
title_short Printed circuit board inspection using wavelet-based technique
title_full Printed circuit board inspection using wavelet-based technique
title_fullStr Printed circuit board inspection using wavelet-based technique
title_full_unstemmed Printed circuit board inspection using wavelet-based technique
title_sort printed circuit board inspection using wavelet-based technique
granting_institution Universiti Teknologi Malaysia
granting_department Faculty of Electrical Engineering
publishDate 2002
url http://eprints.utm.my/id/eprint/6678/1/ZuwairieIbrahimMFKE2002.PDF
_version_ 1747814686639783936