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
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