• DocumentCode
    3591989
  • Title

    A Visual Measurement System for Coil Shipping Automation

  • Author

    Tae-Gyoon Lim ; Yonghun Kim ; Pyungkang Kim ; Soohyun Kim ; Young-Keun Kim ; Sung Joon Ahn

  • Author_Institution
    Syst. Solution Res. Center Pohang, RIST, Pohang, South Korea
  • fYear
    2014
  • Firstpage
    57
  • Lastpage
    60
  • Abstract
    During steel-coil shipping, the coil-lifting operation is usually conducted manually by tying a sling belt through the bore hole of the coil, and then the crane moves the coil from the pallet to the ship. To fully automate this process, the key issues are an automated coil lifting mechanism imitating the manual operation and the reliable and accurate recognition methods for coils on a pallet and hold (s) of a ship. This paper proposes a visual measurement system that can detect their dimensions and locations by using various visual sensors. Design of vision systems and their corresponding image processing algorithms will be discussed.
  • Keywords
    coils; cranes; image processing; lifting; production engineering computing; steel; automated coil lifting mechanism; coil lifting operation; crane; image processing; steel coil shipping; visual measurement system; visual sensors; Accuracy; Automation; Cranes; Machine vision; Marine vehicles; Sensors; Coil Shipping Automation; Harbor Crane; Image Processing; Vision System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optomechatronic Technologies (ISOT), 2014 International Symposium on
  • Type

    conf

  • DOI
    10.1109/ISOT.2014.22
  • Filename
    7119385