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Proceedings Paper

Machine vision inspection of component footprints in PCB artwork
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Paper Abstract

A new printed circuit board (PCB) inspection scheme designed to perform automated inspection of component sites is presented. A digitized image of the artwork for a board is stored after digitization via a scanner (300 dots per inch) in a tag image file format (TIFF) file. At inspection time, after reading in the compressed format TIFF file and decoding the compressed image, the PCB is graphically displayed on a PC screen together with a command menu. The user is then taken through a series of menu-driven commands to ultimately check the dimensions of center-to-center distance between holes and pads for electronic components on the PCB. The significance of this research is in the adaptation of the UNION-FIND procedure to develop a robust algorithm to segment an image into component objects and background to facilitate dimensional analysis and inspection of the artwork.

Paper Details

Date Published: 1 March 1992
PDF: 11 pages
Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); doi: 10.1117/12.58623
Show Author Affiliations
Radha Krishnan, Univ. of Maryland/Baltimore County (United States)
H. Joe Sommer, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 1708:
Applications of Artificial Intelligence X: Machine Vision and Robotics
Kevin W. Bowyer, Editor(s)

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