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Proceedings Paper

Computer vision system for identification, measurement, and duplication of machined parts
Author(s): Roger F. Kromann
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Paper Abstract

A strategy for identifying, measuring, and duplicating machined parts using an EOL (endpoint open loop), position based, visual servo robot is presented. The procedure is demonstrated using the representative, and commercially important, problem of duplicating keys for automobiles. The tasks to be completed for this application are: (1) identify the blank type of the original, (2) measure the unique cut pattern or `code' that activates the tumblers, (3) correct deviations, possibly due to wear, from manufacturer specified acceptable cut profiles, and (4) grind the duplicate. There are over three hundred blank types in use in the U.S. alone, each varying in length, width, groove pattern on each side, and outline of the handle. These variations are often subtle, making identification difficult, even for a human.

Paper Details

Date Published: 6 October 1998
PDF: 7 pages
Proc. SPIE 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, (6 October 1998); doi: 10.1117/12.325759
Show Author Affiliations
Roger F. Kromann, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 3522:
Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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