Title :
Vision feature fusion for classification of electrical motors in an industrial recycling process
Author :
Karlsson, Björn ; Järrhed, Jan-Ove ; Wide, Peter
Author_Institution :
Dept. of Phys. & Meas. Technol., Linkoping Univ., Sweden
Abstract :
This paper describes the fusion process of image features from vision data in an industrial system for disassembly of worn out electrical motors. In the fusion process fuzzy measures are used to fuse Gaussian shaped possibility measures. After training, the system is able to correctly classify incoming motors to a degree of 95%
Keywords :
electric motors; fuzzy logic; industrial control; industrial robots; recycling; robot vision; sensor fusion; Gaussian shaped possibility measures; disassembly; electrical motors classification; fuzzy measures; industrial recycling process; industrial system; robots; vision data; vision feature fusion; worn out electrical motors; Automatic testing; Belts; Data mining; Electric variables measurement; Machine vision; Recycling; Sensor systems; Shape measurement; Stator windings; Vibration measurement;
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1999. MFI '99. Proceedings. 1999 IEEE/SICE/RSJ International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-5801-5
DOI :
10.1109/MFI.1999.815970
