Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305210
Title: A vision architecture for integrated manufacturing systems
Author: Azar, Iyad Bahgat
ISNI:       0000 0001 3434 2381
Awarding Body: Loughborough University of Technology
Current Institution: Loughborough University
Date of Award: 1989
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Abstract:
This thesis introduces a conceptual multi-layered reference model to deal with representing information in a visual scene and to relate this data to similar data structures used within manufacturing processes. In this model, information is processed by a set of algorithms organised within layers of hierarchy. The bottom layer deals directly with data collected by the sensors and the top-most layer offers an interface to the different related manufacturing processes. The building elements of the model and the functionality of each layer are examined with respect to different potential implementation. Through a study of typical vision problems, the thesis shows how conventional image processing solution can be re-implemented in a compatible way with the reference model with the advantage of making use of standard algorithms and development tools. The thesis also examines the impact of using machine vision, based on layered model with other manufacturing entities, and the resulting consequences on computer-integrated manufacturing strategy.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.305210  DOI: Not available
Keywords: Computer Aided Manufacturing
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