• DocumentCode
    2704936
  • Title

    Self-learning visual inspection system for cable crimping machines

  • Author

    Ghidoni, Stefano ; Finottot, Matteo ; Menegatti, Emanuele

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padova, Italy
  • fYear
    2011
  • fDate
    9-13 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a system for checking connectors while cables are being crimped to them. The system verifies that the wires color sequence is correct: an accurate color analysis technique has then been developed, in order to discriminate between similar colors, and filter noise factors.
  • Keywords
    cable jointing; cables (electric); crimping; electric connectors; image colour analysis; inspection; production engineering computing; wires (electric); cable crimping machines; color analysis technique; connector checking; noise filtering; self-learning visual inspection system; wire color sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-61284-386-5
  • Type

    conf

  • DOI
    10.1109/ICRA.2011.5980590
  • Filename
    5980590