TY - GEN
T1 - The moving track detection of elevator governor flyweight based on image recognition
AU - Ran, Xuejun
AU - Wang, Jianqun
AU - Li, Zhenshan
AU - Yao, Guozhong
PY - 2010
Y1 - 2010
N2 - 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 wlevator 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.
AB - 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 wlevator 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.
KW - Elevator governor
KW - Moving object detection
KW - Moving track of flyweight
UR - https://www.scopus.com/pages/publications/78650238382
M3 - Conference contribution
AN - SCOPUS:78650238382
SN - 9787894631046
T3 - Proceedings of the 29th Chinese Control Conference, CCC'10
SP - 3072
EP - 3075
BT - Proceedings of the 29th Chinese Control Conference, CCC'10
T2 - 29th Chinese Control Conference, CCC'10
Y2 - 29 July 2010 through 31 July 2010
ER -