ZHANG Wanpeng, XU Weimin, GU Xiutao, et al. Load spatial localization of bridge crane based on improved circle detection algorithm[J]. 2020, (12): 46-49+52.
ZHANG Wanpeng, XU Weimin, GU Xiutao, et al. Load spatial localization of bridge crane based on improved circle detection algorithm[J]. 2020, (12): 46-49+52. DOI: 10.13873/J.1000-9787(2020)12-0046-04.
dead zone exist in traditional contact angle encoders in overhead crane
and the marks used in visual detection systems are sensitive to rotation and tilt
a vision target detection algorithm is proposed to obtain the spatial position of the load in real time. Add a spherical marker to the load
the swing angle and rope length information by obtaining the information of the spherical marker. Firstly
the spherical center and the radius are identified by improved circle detection algorithm in the designed image processing area. Then
the space coordinates of spherical target are confirmed by the space geometry method. The experimental results indicate that the visual detection technology can provide more accurate data for control system of the overhead crane.