U-007

Multisensor Industrial Inspection and Grading Using ELSA

Authors: Michael D. Naish, Elizabeth A. Croft
Affiliations: MDN: Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
EAC: Department of Mechanical Engineering, University of British Columbia, Vancouver, B.C., Canada

Abstract
The Extended Logical Sensor Architecture (ELSA) has been developed for industrial applications, particularly, the on-line grading and classification of non-uniform food products. This architecture addresses a number of issues specific to industrial inspection including modularity, scalability, and design by non-expert users. To address these needs, the sensors are encapsulated by a logical sensor model, providing robustness and flexibility. The construction methodology is based upon the object model which represents object classifications through combinations of primary features weighted by fuzzy membership functions. The features guide the selection of sensors and processing routines; the classifications determine the rulebase used by the inference engine for process decisions.

Michael Naish
naish@mie.utoronto.ca