Automated visual inspection of bare printed circuit boards using parallel processor hardware

J. W. Foster, P. Griffin, J. D. Korry

Research output: Contribution to journalArticlepeer-review

Abstract

This paper describes the research currently being conducted at Texas A&M University toward the automated visual inspection of bare printed circuit boards (PCBs) using non-referential algorithms. The first phase of the research includes the development of an efficient algorithm to filter the digitised image of the PCB once it has been received from the camera. The filter enhances the acquired image for easier processing by the system. The research is centred around the use of a commercially available parallel processor to perform this function. The reformatted image is then inspected for defects based on the design rules of the circuit board.

Original languageEnglish (US)
Pages (from-to)69-74
Number of pages6
JournalThe International Journal of Advanced Manufacturing Technology
Volume2
Issue number2
DOIs
StatePublished - May 1987

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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