• DocumentCode
    1767909
  • Title

    Machine vision supported by artificial intelligence

  • Author

    Flores-Fuentes, Wendy ; Rodriguez-Quinonez, Julio C. ; Hernandez-Balbuena, Daniel ; Rivas-Lopez, Moises ; Sergiyenko, Oleg ; Gonzalez-Navarro, Felix F. ; Rivera-Castillo, Javier

  • Author_Institution
    Eng. Fac., Univ. Autonomous of Baja California, Mexicali, Mexico
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    1949
  • Lastpage
    1954
  • Abstract
    A performance evaluation of different artificial intelligence methods for machine vision using a rotatory mirror scanner is presented. This assessment concludes importance results, in order to properly select a method for the development of an precise optical scanning system for machine vision, with application in Structural Health Monitoring and Robot Navigation task.
  • Keywords
    artificial intelligence; computer vision; image scanners; artificial intelligence methods; machine vision; performance evaluation; precise optical scanning system; robot navigation; rotatory mirror scanners; structural health monitoring; Artificial neural networks; Measurement uncertainty; Mirrors; Prediction algorithms; Predictive models; Training; Artificial intelligence; SVM; machine vision; rotatory mirror scanner;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISIE.2014.6864914
  • Filename
    6864914