Paper
23 May 1984 Machine Vision For Industrial Control:The Unsung Opportunity
Gerald A. Falkman, Lawrence A Murray, James E. Cooper
Author Affiliations +
Proceedings Volume 0464, Solid-State Optical Control Devices; (1984) https://doi.org/10.1117/12.966227
Event: 1984 Los Angeles Technical Symposium, 1984, Los Angeles, United States
Abstract
Vision modules have primarily been developed to relieve those pressures newly brought into existence by Inspection (QUALITY) and Robotic (PRODUCTIVITY) mandates. Industrial Control pressure stems on the other hand from the older first industrial revolution mandate of throughput. Satisfying such pressure calls for speed in both imaging and decision making. Vision companies have, however, put speed on a backburner or ignore it entirely because most modules are computer/software based which limits their speed potential. Increasingly, the keynote being struck at machine vision seminars is that "Visual and Computational Speed Must Be Increased and Dramatically!" There are modular hardwired-logic systems that are fast but, all too often, they are not very bright. Such units: Measure the fill factor of bottles as they spin by, Read labels on cans, Count stacked plastic cups or Monitor the width of parts streaming past the camera. Many are only a bit more complex than a photodetector. Once in place, most of these units are incapable of simple upgrading to a new task and are Vision's analog to the robot industry's pick and place (RIA TYPE E) robot. Vision thus finds itself amidst the same quandries that once beset the Robot Industry of America when it tried to define a robot, excluded dumb ones, and was left with only slow machines whose unit volume potential is shatteringly low. This paper develops an approach to meeting the need of a vision system that cuts a swath into the terra incognita of intelligent, high-speed vision processing. Main attention is directed to vision for industrial control. Some presently untapped vision application areas that will be serviced include: Electronics, Food, Sports, Pharmaceuticals, Machine Tools and Arc Welding.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gerald A. Falkman, Lawrence A Murray, and James E. Cooper "Machine Vision For Industrial Control:The Unsung Opportunity", Proc. SPIE 0464, Solid-State Optical Control Devices, (23 May 1984); https://doi.org/10.1117/12.966227
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KEYWORDS
Inspection

Control systems

Cameras

Machine vision

Solid state electronics

Electronics

Image processing

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