DocumentCode :
674850
Title :
Research and Development of a Recognition System for Measurements in Micromechanics
Author :
Baydyk, Tetyana ; Kussul, Ernst ; Hernandez Acosta, Miguel ; Vega, A.
Author_Institution :
Centro de Cienc. Aplic. y Desarrollo Tecnol., Univ. Nac. Autonoma de Mexico, Mexico City, Mexico
fYear :
2013
fDate :
19-22 Nov. 2013
Firstpage :
53
Lastpage :
58
Abstract :
The article includes a description of research results in the areas of neural networks and image recognition with applications in micro mechanics. The principle objective is to develop a recognition system of edges of micro components for use in measuring sizes of these micro components. In applications of this recognition system in real control systems the elapsed time is a critical point. Therefore, one of the lines of research is to implement the neural network in electronic schemes. To implement algorithms of neural networks we used the electronic schemes ALTERA.
Keywords :
computerised instrumentation; edge detection; mechanical engineering computing; micromechanics; neural nets; size measurement; ALTERA; critical point; electronic schemes; image recognition system; microcomponent edge recognition system; micromechanics; neural networks; real control systems; sizes measurement; Image edge detection; Neural networks; Neurons; Object recognition; Pistons; Training; Visualization; LIRA neural network; measurement; micromechanics; recognition system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2013 International Conference on
Conference_Location :
Morelos
Print_ISBN :
978-1-4799-2252-9
Type :
conf
DOI :
10.1109/ICMEAE.2013.13
Filename :
6713955
Link To Document :
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