relation: https://khub.utp.edu.my/scholars/3065/
title: A review of SMD-PCB defects and detection algorithms
creator: Mohd. Hani, A.F.
creator: Malik, A.S.
creator: Kamil, R.
creator: Thong, C.-M.
description: Detection and classification of defects on surface mount device printed circuit board (SMD-PCB) is an important requirement in electronic manufacturing process. This process which is primarily performed by automatic optical inspection (AOI) system ensures the functionality and quality of manufactured products. In this paper, the pattern recognition algorithms proposed in the literature for the inspection of defects using AOI are reviewed. The review focuses on segmentation algorithms, choice of features and feature extraction algorithms as well as the types of classifier and their relative classification performance. The review spans a 20 year period from 1990 to 2011. The results of the review suggest that solder joint defect is the type of defects mostly investigated and that the trend is moving towards combining the results of more than one classifier to improve classification accuracy and robustness. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
date: 2012
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Mohd. Hani, A.F. and Malik, A.S. and Kamil, R. and Thong, C.-M.  (2012) A review of SMD-PCB defects and detection algorithms.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857293372&doi=10.1117%2f12.920531&partnerID=40&md5=8e191f5c136ce145587612d3be54a5ab
relation: 10.1117/12.920531
identifier: 10.1117/12.920531