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Proceedings Paper

Vision-controlled paint spray optimization
Author(s): Gary Ettinger; Donald J. Christian
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Paper Abstract

This paper is a case history of spray paint optimization system based on machine vision technology in a factory automation application. The system is implemented as an industrial control for a reciprocating electrostatic sprayer used for priming and painting of armor plate for military ground vehicles. Incoming plates are highly variable in size, shape, and orientation, and are processes in very small production lots. A laser imager is used to digitize visual cross sections of each plate one line at a time. The raster lines are then assembled into a two dimensional image and processed. The spray pattern is optimized for precise paint coverage with minimum overspray. The paint optimizer system has yielded a measured 25 percent savings in bulk paint use, resulting in less booth and equipment maintenance, reduced paint fumes in the atmosphere, and reduced waste disposal, and now has several months of successful production history.

Paper Details

Date Published: 1 April 1992
PDF: 12 pages
Proc. SPIE 1623, The 20th AIPR Workshop: Computer Vision Applications: Meeting the Challenges, (1 April 1992); doi: 10.1117/12.58064
Show Author Affiliations
Gary Ettinger, FMC Corporate Technology Ctr. (United States)
Donald J. Christian, FMC Corporate Technology Ctr. (United States)

Published in SPIE Proceedings Vol. 1623:
The 20th AIPR Workshop: Computer Vision Applications: Meeting the Challenges
Joan B. Lurie, Editor(s)

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