Paper
17 November 1986 An Appraisal Of Artificial Intelligence Techniques For Industrial Vision Systems
B G Batchelor
Author Affiliations +
Proceedings Volume 0654, Automatic Optical Inspection; (1986) https://doi.org/10.1117/12.938298
Event: 1986 International Symposium/Innsbruck, 1986, Innsbruck, Austria
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.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B G Batchelor "An Appraisal Of Artificial Intelligence Techniques For Industrial Vision Systems", Proc. SPIE 0654, Automatic Optical Inspection, (17 November 1986); https://doi.org/10.1117/12.938298
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Cited by 1 scholarly publication.
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KEYWORDS
Artificial intelligence

Image processing

Inspection

Evolutionary algorithms

Optical inspection

Databases

Computing systems

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