DocumentCode :
622472
Title :
The application of image based visual servo control system for smart guard
Author :
Li Li ; Binhai Wang ; Beidou li ; Peng Xiao ; Wanguo Wang ; Yibin Li
Author_Institution :
Electr. Power Robot. Lab., Shandong Electr. Power Res. Inst., Jinan, China
fYear :
2013
fDate :
12-14 June 2013
Firstpage :
1342
Lastpage :
1345
Abstract :
Based on SmartGuard, a mobile robot for substation inspection, we propose an image based visual servo control system to precisely make the cameras with the pan & tilt to capture the substation equipment we expected to inspect. The vision control system contents of an image acquisition system, a pan & tilt and an embedded servo control system. The proposed approach firstly uses SURF local feature to take the offset of the new acquired image and the template image, which is invariant to light, scale and rotation. Without the calibration of the pan & tilt and the vision system, we calculate the Jacobian matrix based on the test movement. Then we take the servo until the image feature reach to the object image. Using this image based vision system, SmartGuard can avoid the effect of the motion error and the repeating errors of pan & tilt system, and take the precisely image of the power equipments for automatic optical inspection system.
Keywords :
Jacobian matrices; embedded systems; feature extraction; image sensors; inspection; mobile robots; robot vision; servomechanisms; substation automation; Jacobian matrix; SURF local feature; SmartGuard; acquired image; automatic optical inspection system; cameras; embedded servo control system; image acquisition system; image based visual servo control system; mobile robot; power equipments; substation equipment; substation inspection; template image; test movement; Cameras; Jacobian matrices; Robot vision systems; Servomotors; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
ISSN :
1948-3449
Print_ISBN :
978-1-4673-4707-5
Type :
conf
DOI :
10.1109/ICCA.2013.6564898
Filename :
6564898
Link To Document :
بازگشت