DocumentCode :
3253011
Title :
ANN based intelligent vision and sorting system
Author :
Govender, P. ; Li, Z.
Author_Institution :
Dept. of Electron. Eng., Durban Univ. of Technol., Durban, South Africa
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
394
Lastpage :
399
Abstract :
This study focuses on the design of an intelligent machine vision and sorting system. The vision system uses an artificial neural network trained to perform recognition. A Bluetooth communication link facilitates communication between the intelligent recognition system and a robot control computer. Image feature vectors are transmitted to the remote control computer for recognition and a robot control computer guides the robot manipulator to place the object into an allocated position. The main advantage of the system is its relative simplicity, its excellent nosise immunity, its ability to generalize and the fault tolerance that its exhibits when faced with missing.
Keywords :
Bluetooth; data compression; fault tolerance; feature extraction; image coding; image recognition; manipulators; neural nets; position control; robot vision; sorting; telecommunication links; ANN based intelligent vision; Bluetooth communication link; artificial neural network; fault tolerance; image feature vector; intelligent machine vision; intelligent recognition system; noise immunity; position allocation; remote control computer; robot control computer; robot manipulator; sorting system; Artificial neural networks; Cameras; Computers; Production facilities; Robot vision systems; Robustness; Training; bluetooth; image compression; neural network; wavelets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
Type :
conf
DOI :
10.1109/ICIEEM.2010.5646588
Filename :
5646588
Link To Document :
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