• DocumentCode
    3471298
  • Title

    Crane control using machine vision and wand following

  • Author

    Peng, Kelvin Chen Chih ; Singhose, William

  • Author_Institution
    George W. Woodruff Sch. of Mech., Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2009
  • fDate
    14-17 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The payload oscillation inherent to all cranes makes it challenging for human operators to manipulate payloads quickly, accurately, and safely. A new type of crane control system that allows an operator to drive a crane by moving a hand-held wand has been implemented on an industrial bridge crane at the Georgia Institute of Technology. An image processing system tracks the movement of the wand and its position is used to drive the crane. The crane was used to study the performance of human operators as they drove the crane through obstacle courses. The experimental results show that operators performed maneuvering tasks faster, safer, and more effectively when using the wand controller instead of the traditional push-button pendent controller.
  • Keywords
    computer vision; cranes; industrial control; motion estimation; position control; tracking; crane control; hand-held wand; image processing system; industrial bridge crane; machine vision; payload manipulation; payload oscillation; wand movement tracking; Bridges; Control systems; Cranes; Electrical equipment industry; Humans; Image processing; Industrial control; Machine vision; Payloads; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics, 2009. ICM 2009. IEEE International Conference on
  • Conference_Location
    Malaga
  • Print_ISBN
    978-1-4244-4194-5
  • Electronic_ISBN
    978-1-4244-4195-2
  • Type

    conf

  • DOI
    10.1109/ICMECH.2009.4957227
  • Filename
    4957227