DocumentCode :
2074437
Title :
The moving track detection of elevator governor flyweight based on image recognition
Author :
Ran Xuejun ; Wang Jianqun ; Li zhenshan ; Yao Guozhong
Author_Institution :
Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China
fYear :
2010
fDate :
29-31 July 2010
Firstpage :
3072
Lastpage :
3075
Abstract :
Four ring-shaped visual signs to calculate the flyweight´s moving angle ware sticked on elevator governor. An encoder´s pulse counts ware used to trigger the high-speed camera´s shooting and it´s pulse periods to record the linear velocity of elevator governor when shooted. After that, image recognition was done on the four visual signs, in order to determine the angle of the four signs by geometrical principle. On that curve fitting of the speed was done and we got the trajectory of the flyweight. The results indicate that the correct rate can be stabilized at 97% or more.
Keywords :
cameras; codecs; image coding; image recognition; lifts; object detection; elevator governor flyweight; encoder; high-speed camera; image recognition; moving track detection; pulse counts; ring-shaped visual signs; Curve fitting; Data acquisition; Electronic mail; Electronics industry; Elevators; Trajectory; Elevator Governor; Moving Object Detection; Moving Track of Flyweight;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
Type :
conf
Filename :
5572176
Link To Document :
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