• 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