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Proceedings Paper

Knowledge-based engineering approach for problem specification
Author(s): Mary Lou Dorf
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Paper Abstract

Detailing the problem and writing the problem specification are vital to the successful implementation of any potential automated inspection system. In practice, arriving at a well defined problem specification is extremely difficult and many well designed systems have failed in implementation due to an inadequate problem specification. This paper presents a knowledge-based technique for developing a problem specification for dimensional measurement applications of machine vision. The motivation for developing a new systematic and computerized approach to problem specification is briefly covered. The peculiarity of this particular application and how it influences the knowledge-based system are discussed. This paper also details the methodology used for knowledge acquisition and refinement. Finally, the implementation of this new approach is discussed. A comprehensive knowledge-based tool was designed to clearly and precisely define production problems and to aid in accurate specifications for the development of machine vision systems. This tool uses an interactive computer program that takes potential users, with various backgrounds and interests, systematically through a step-by-step interrogation of the particular application. It then outputs a complete problem specification that will aid in the development of a specialized system. This tool consists of modules of questions which are intelligently selected appropriate to the different job descriptions and areas of expertise of the respondents. This method of problem specification has proven to be useful and effective for both the machine vision novice and expert. Examples of this method are given for machine vision applications and implementations.

Paper Details

Date Published: 1 March 1992
PDF: 9 pages
Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); doi: 10.1117/12.56887
Show Author Affiliations
Mary Lou Dorf, Univ. of Toledo (United States)

Published in SPIE Proceedings Vol. 1707:
Applications of Artificial Intelligence X: Knowledge-Based Systems
Gautam Biswas, Editor(s)

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