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Proceedings Paper

A Machine Vision System As An Automatic Sorting And Decoding Tool
Author(s): Jen-Ya Chou; Robert Plice; Donald Mead
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Paper Abstract

Machine vision is an emerging technology and an integral element of a factory automation concept embracing robotics, CAD/CAM, CIM, FMS and numerous related capabilities. Although still in its infancy - especially in the methodology of performing symbolic domain tasks, it surely plays a vital role in evolving manufacturing from today's fixed automation to flexible future automation. This paper describes the elements of productivity and speed improvement currently achieved with the aid of a machine vision system. The system is an integrated electro-optical system which automatically reads mark sense labels and forwards the encoded data to sort controllers. Also, through the description of this automatic sorting system design - in both software and hardware senses, it will be recognized that complex scene understanding can be carried out successfully under elaborate use of a priori knowledge about the scene to be recognized.

Paper Details

Date Published: 9 June 1986
PDF: 6 pages
Proc. SPIE 0595, Computer Vision for Robots, (9 June 1986); doi: 10.1117/12.952270
Show Author Affiliations
Jen-Ya Chou, International Robomation/Intelligence (United States)
Robert Plice, International Robomation/Intelligence (United States)
Donald Mead, International Robomation/Intelligence (United States)

Published in SPIE Proceedings Vol. 0595:
Computer Vision for Robots
Olivier D. Faugeras; Robert B. Kelley, Editor(s)

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