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Proceedings Paper

An Appraisal Of Artificial Intelligence Techniques For Industrial Vision Systems
Author(s): B G Batchelor
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Paper Abstract

The role of Artificial Intelligence (AI) in industrial vision systems is examined. It is concluded that there are several, quite distinct areas where AI concepts and techniques are likely to be useful. The first is that of designing and planning industrial vision systems. The most obvious application is probably that of analysing complex scenes, about which little or nothing is known in advance. However, the author argues that in a well designed industrial plant there is very little disorder. For example, the orientation of piece parts would not be lost by tossing them into a bin. The cost of re-orientating them can be quite expensive. The well known "bin picking" problem is thus seen as one for which solutions should be sought but instead avoided. The third area where AI techniques might be used is in the task of inspecting either complex objects / assemblies, or those which are made in small quantities. The paper concludes with a discussion about the requirement for a convenient language for expressing both image processing and AI algorithms. The structure of such a language is described.

Paper Details

Date Published: 17 November 1986
PDF: 14 pages
Proc. SPIE 0654, Automatic Optical Inspection, (17 November 1986); doi: 10.1117/12.938298
Show Author Affiliations
B G Batchelor, University of Wales Institute of Science & Technology (United Kingdom)


Published in SPIE Proceedings Vol. 0654:
Automatic Optical Inspection
Lionel R. Baker; H. John Caulfield, Editor(s)

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