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Proceedings Paper

Application of "off-the-shelf" hardware for machine vision
Author(s): James E. Beving
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Paper Abstract

The application of machine vision for product inspection and sorting in the vegetable processing industry is a relatively recent development. Machine vision has been applied to inspection and sorting of manufactured products such as printed circuit assemblies and machined parts for over twenty years. The variability of agricultural products requires extensive processing power and the need to do real-time inspection limits, what RS-170 quality video systems can provide. The market size for these inspection and sorting systems does not allow amortizing R&D costs over a large number of units, therefore, maximum use of off-the shelf processing, imaging, and operator interface hardware is required. Also, meeting the time-to-market window for new products with a small, specialized design group does not allow time for in-house high performance hardware design when those designs are available as commodity items. Three of Computer Controlled Machines' machine vision related products are discussed, the Ear Select Machine, the Green Corn Eliminator, and the Post Husker Sorter.

Paper Details

Date Published: 1 August 1992
PDF: 6 pages
Proc. SPIE 1778, Imaging Technologies and Applications, (1 August 1992); doi: 10.1117/12.130972
Show Author Affiliations
James E. Beving, Computer Controlled Machines (United States)

Published in SPIE Proceedings Vol. 1778:
Imaging Technologies and Applications
Robert J. Heaston, Editor(s)

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