DocumentCode :
3419430
Title :
Vision feedback for SMD placement using neural networks
Author :
Burel, G. ; Bernard, F. ; Venema, W.J.
Author_Institution :
Thomson CSF/LEF, Cesson-Sevigne, France
Volume :
2
fYear :
1995
fDate :
21-27 May 1995
Firstpage :
1491
Abstract :
The paper describes an approach to include vision control and neural networks in the assembly process of surface mounted devices (SMD). The need of vision feedback is due to the decreasing size of SMD. The proposed approach includes image processing, estimation of positioning error by a neural network, and geometrical computations. The hardware implementation to achieve real time constraints is also described
Keywords :
assembling; computer vision; feedback; neural nets; neurocontrollers; position control; printed circuit manufacture; surface mount technology; PCB manufacture; SMD placement; alignment control; assembly; geometrical computations; image processing; neural networks; positioning error estimation; real time constraints; surface mounted devices; vision feedback; Assembly; Grippers; Hardware; Lead; Machine vision; Neural networks; Neurofeedback; Pins; Position measurement; Printed circuits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
ISSN :
1050-4729
Print_ISBN :
0-7803-1965-6
Type :
conf
DOI :
10.1109/ROBOT.1995.525486
Filename :
525486
Link To Document :
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