Machine vision inspection of component footprints in PCB artwork

Radha Krishnan; H. Joe Sommer III

doi:10.1117/12.58623

1 March 1992 Machine vision inspection of component footprints in PCB artwork

Radha Krishnan, H. Joe Sommer III

Proceedings Volume 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics; (1992) https://doi.org/10.1117/12.58623
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Radha Krishnan and H. Joe Sommer III "Machine vision inspection of component footprints in PCB artwork", Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); https://doi.org/10.1117/12.58623

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KEYWORDS

Inspection

Machine vision

Image segmentation

Artificial intelligence

Robotics

Evolutionary algorithms

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