DocumentCode :
3298398
Title :
Multisensor industrial inspection and grading using ELSA
Author :
Naish, Michael D. ; Croft, Elizabeth A.
Author_Institution :
Comput. Integrated Manuf. Lab., Toronto Univ., Ont., Canada
fYear :
1999
fDate :
1999
Firstpage :
938
Lastpage :
943
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
Keywords :
food processing industry; fuzzy set theory; inference mechanisms; inspection; quality control; sensor fusion; ELSA; Extended Logical Sensor Architecture; food product classification; fuzzy membership functions; industrial grading; inference engine; logical sensor model; multisensor industrial inspection; object classifications; online grading; rulebase; sensors; Automation; Inspection; Laboratories; Machine vision; Machinery production industries; Manufacturing industries; Mechanical sensors; Multisensor systems; Quality assurance; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics, 1999. Proceedings. 1999 IEEE/ASME International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5038-3
Type :
conf
DOI :
10.1109/AIM.1999.803298
Filename :
803298
Link To Document :
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