Design of gesture recognition mobile car based on YOLOv5
Shuo Xi, Zehua Song, Xingyu Zhu, Gongcheng Yin, Shucheng Ma · 2023
In response to the less referees in non -professional basketball events, this article will design a multi -functional basketball technology station based on deep learning gesture recognition and image -based car -based cars. While tracking the referee position, the corresponding gesture can reduce the labor costs in basketball games and improve the smoothness of the game. This article uses the YOLOv5 algorithm, which can reaches more than 90%of gesture recognition. Using the OpenCV image processing module can better capture the position of the referee and make gesture recognition more accurate and fast.