Automatic AI Detection Technology of Foul Shot Scanning in Simulated Basketball Match Under the Background of AI

The current development speed of AI technology is following fast. It can track and analyze a single sports target in the foul shots of simulated basketball games, and use convenient automatic AI detection technology to achieve the best results. And based on this, it also analyzes the current situation of AI in sports competitions at home and abroad, and also finds whether there is research in AI simulation basketball through domestic and foreign websites. The relevant literature on the lens scanning technology of the regulations in the competition, and then conduct in-depth analysis and research on it. And this purpose is to help study the analysis of foul shots in modern basketball games and make an important pavement, and the ultimate goal is to provide theoretical support and guidance for the further development of foul shots in modern simulated basketball games. AI uses foul action detection technology to accurately capture and detect foul actions in basketball games, which is an important auxiliary technology for accurate judgment in fierce competitions. Through experimental research, we propose a foul shot scanning automatic detection technology in the field of AI. The technology uses the Baum-Welch algorithm to obtain the action contour of the basketball player, and uses the AdaBoost algorithm to extract the key frames of the basketball player’s action image, and finally uses the LLE algorithm to extract feature information to determine whether the action is foul. Finally, through experimental analysis of the research results, we can see the use of AI technology can not only provide basketball players with convenient and effective strategies, but also develop different training plans according to each basketball player’s physical fitness.