Vision based inspection system for missing footprint detection on printed circuit boards

Marzieh Mogharrebi, Shahnorbanun Sahran, Mei Choo Ang, Anton Satria Prabuwono

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

An automated visual inspection system is needed to inspect missing component footprints on bare Printed Circuit Board (PCB). Missing component footprints on the PCB will result in lack of electronic components. Since the surface of electronic products is more compact and complex, the inspection task has become more difficult in order to achieve the required quality of finished products. The general aim of this research is to develop a real time automated visual inspection system to identify missing footprints on PCB. The specific objectives are: to implement production rules and Fuzzy logic techniques for quality classification of footprints. An experimental setup for a real time AVIS which consists of hardware and software frameworks has been developed. The hardware framework included a web camera, four florescent lamps, a conveyor belt, and the software framework included Image Processing System (IPS). The Region of Interest (ROI) of the PCB would be transferred to IPS under suitable light and specific speed of conveyor belt. The footprints are segmented based on their coordination. Feature extraction will be accomplished to classify the uncompleted footprints on PCBs. Ultimately, the production rule, Mamdani, and Sugeno fuzzy classifiers are implemented to classify the footprints. The experimental result confirmed that the proposed AVIS has a high accuracy rate.

Original languageEnglish
Pages (from-to)10-18
Number of pages9
JournalJournal of Theoretical and Applied Information Technology
Volume84
Issue number1
Publication statusPublished - 1 Feb 2016

Fingerprint

Printed Circuit Board
Printed circuit boards
Inspection
Production Rules
Image Processing
Image processing
Classify
Hardware
Electronics
Fuzzy Classifier
Software
Region of Interest
Polychlorinated biphenyls
Electric lamps
Fuzzy Logic
Feature Extraction
Fuzzy logic
Feature extraction
High Accuracy
Classifiers

Keywords

  • Automated visual inspection
  • Feature extraction
  • Fuzzy logic
  • Image segmentation
  • Printed circuit board (PCB)

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Vision based inspection system for missing footprint detection on printed circuit boards. / Mogharrebi, Marzieh; Sahran, Shahnorbanun; Ang, Mei Choo; Prabuwono, Anton Satria.

In: Journal of Theoretical and Applied Information Technology, Vol. 84, No. 1, 01.02.2016, p. 10-18.

Research output: Contribution to journalArticle

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