Title :
Data representation and organization for an industrial multisensor integration architecture
Author :
Naish, Michael D. ; Croft, Elizabeth A.
Author_Institution :
Dept. of Mech. Eng., British Columbia Univ., Vancouver, BC, Canada
Abstract :
An open architecture for intelligent multisensor integration in an industrial environment is being developed. A logical sensor model is used to represent both real and abstract sensors within the architecture, allowing for the ready addition or replacement of sensors. Processing algorithms are also encapsulated by logical sensors. Objects are modeled using a connected graph structure wherein each node represents a salient feature of the object. Interactive training is used to determine the logical sensors required to extract desired features from objects. Extracted features are identified by the user and become part of the model. Once trained, the system can use object models for identification and classification purposes
Keywords :
automatic optical inspection; process control; sensor fusion; classification; connected graph structure; data organization; data representation; feature extraction; industrial environment; industrial multisensor integration architecture; intelligent multisensor integration; interactive training; logical sensor model; open architecture; Computer architecture; Computer industry; Data mining; Feature extraction; Food industry; Inspection; Intelligent sensors; Machinery production industries; Mechanical sensors; Sensor systems;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.626200
