DocumentCode :
1644898
Title :
Application of neural classifier for flat image recognition in the process of microdevice assembly
Author :
Tatyana, Baidyk ; Ernst, Kussul
Author_Institution :
Centro de Instrumentos, Univ. Nacional Autonoma de Mexico, Mexico City, Mexico
Volume :
1
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
160
Lastpage :
164
Abstract :
The problem of the automatic assembly of micro devices is considered. The neural network based adaptive control system for micro device assembly is proposed. The system is based on the machine vision technology. The method of reducing of 3D to 2D problem is proposed. This approach permits to use OCR technique for microdevice assembly controlled by computer vision system
Keywords :
adaptive control; image classification; industrial control; microassembling; neural nets; neurocontrollers; OCR technique; automatic assembly; computer vision system; flat image recognition; machine vision technology; microdevice assembly; neural classifier; neural network based adaptive control system; Adaptive control; Assembly systems; Cameras; Character recognition; Image recognition; Light sources; Machine vision; Neural networks; Optical character recognition software; TV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
ISSN :
1098-7576
Print_ISBN :
0-7803-7278-6
Type :
conf
DOI :
10.1109/IJCNN.2002.1005462
Filename :
1005462
Link To Document :
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