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