• DocumentCode
    530507
  • Title

    Improving the piston assembly by machine vision recognition technology

  • Author

    Xiao-feng Yue ; Ren, Van-Wen ; Song Lei ; Wei, Wang

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Changchun Univ. of Technol., Changchun, China
  • Volume
    2
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    203
  • Lastpage
    206
  • Abstract
    The things of missed assembling, reversed assembling and mixed assembling of the pistons happen from time to time. The assemble quality of pistons has severe influence on the performance of vehicle engine. With the aid of machine vision recognition technology, these mistakes could be successfully avoided; it makes the piston assembling quality stable and labor intensity lower.
  • Keywords
    assembling; computer vision; engines; pistons; production engineering computing; machine vision recognition technology; mixed assembling; piston assembling quality; reversed assembling; vehicle engine; Assembly; Pistons; Pixel; Machine vision recognition; Mixed central moment function; Piston Assembling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5609718
  • Filename
    5609718