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Proceedings Paper

Intelligent visual inspection of food products
Author(s): John Paul Chan; Bruce G. Batchelor; I. P. Harris; S. J. Perry
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Paper Abstract

Although Automated Visual Inspection has been applied in many areas, the food industry has so far been unable to take full advantage of this technology due to the non-deterministic nature of product specifications. This paper discusses some of the problems faced by food industries including foreign body detection, shape and decoration analysis. Possible solutions using different visual sensing methods such as UV illumination, X-ray, Gamma ray and infra-red are assessed. The paper also discusses the application of an intelligent vision system, based on Prolog, for the inspection of complex products such as foodstuff and plants.

Paper Details

Date Published: 1 March 1991
PDF: 9 pages
Proc. SPIE 1386, Machine Vision Systems Integration in Industry, (1 March 1991); doi: 10.1117/12.25389
Show Author Affiliations
John Paul Chan, Univ. of Wales College of Cardiff (United Kingdom)
Bruce G. Batchelor, Univ. of Wales College of Cardiff (United Kingdom)
I. P. Harris, Univ. of Wales College of Cardiff (United Kingdom)
S. J. Perry, Univ. of Wales College of Cardiff (United Kingdom)


Published in SPIE Proceedings Vol. 1386:
Machine Vision Systems Integration in Industry
Bruce G. Batchelor; Frederick M. Waltz, Editor(s)

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