Research Article
Design of Basketball Shot Track Recognition System Based on Machine Vision
@INPROCEEDINGS{10.1007/978-3-030-82565-2_13, author={Chonggao Chen and Wei Tang}, title={Design of Basketball Shot Track Recognition System Based on Machine Vision}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2021}, month={7}, keywords={Machine vision Shot trajectory Recognition system End user Peripheral structure Power supply transformation Machine data Tilt sensor}, doi={10.1007/978-3-030-82565-2_13} }- Chonggao Chen
Wei Tang
Year: 2021
Design of Basketball Shot Track Recognition System Based on Machine Vision
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-82565-2_13
Abstract
Aiming at the positioning of the existing shooting track, which leads to the deviation of basketball shooting track, in order to maintain the basketball shooting track accurately, a basketball shooting track recognition system based on machine vision is designed. The ARM processor is used as the core application terminal of the identification component, and the high-precision orientation module and power supply conversion module are combined to build the hardware environment. Based on this, a machine vision technology model is established. Through defining the format of machine datagram, the subprogram of tilt angle sensor is optimized, and the software execution environment is realized. Experimental results show that, compared with the traditional recognition system, the physical distance between the starting position and the terminating position of the shot is greatly reduced, which can effectively solve the problem of basketball trajectory deviation caused by inaccurate shooting and meet the practical application requirements of precise maintenance of basketball trajectory.
