DocumentCode :
1676771
Title :
Bolting robot assistance system using image processing
Author :
Mo, Yung-Hak ; Woo, Byung-Wook ; Choe, Yun-Geun ; Park, Jung-Min ; Lim, Myo-Taeg
Author_Institution :
Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
fYear :
2010
Firstpage :
2342
Lastpage :
2345
Abstract :
The Bolting robot assistance system prevents operator to face dangerous situations. Bolting robot assistance system consists of bolting robot control system and top-view supervisory system. In order to control a bolting robot, Camshift algorithm and circular Hough transform are used. To estimate location of bolt hole, circular Hough transform is used. In order to track a bolt hole, Meanshift and Camshift are used. Camshift operates on color image represented by probability point and applies a non-parametric gradient density called Meanshift algorithm to re-center its operating window. By setting region to search a bolt hole, the algorithm will track the location of the bolt hole. In order to make top-view supervisory system, four cameras are installed at left, right, front and back of the robot. Each image from the camera is used to make the top-view image after correcting distortion. This paper proposes the image processing algorithm which is suitable for top-view supervisory system.
Keywords :
Hough transforms; construction equipment; gradient methods; image processing; industrial robots; mobile robots; probability; robot vision; bolting robot assistance system; bolting robot control system; camshift algorithm; circular Hough transform; image processing; meanshift algorithm; nonparametric gradient density; probability point; top-view supervisory system; Cameras; Fasteners; Image processing; Optical distortion; Robot vision systems; Transforms; Camshift; Circular Hough Transform; Image Processing; Visual Servo;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4244-7453-0
Electronic_ISBN :
978-89-93215-02-1
Type :
conf
Filename :
5669922
Link To Document :
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