Nowadays, the development and innovation of tennis have basically been integrated with the Internet, and the penetration of big data is accelerating the development of tennis. Collect data and statistics about tennis matches, analyze the key winning factors of the game, assign players’ gains and losses, and assign points. Fully understand the game’s tactics and various key technical functions of the player and enhance the influence of the game’s attention. Therefore, as the era of the Internet of Things is about to come, the development of sports events in my country should seize the opportunity of innovation in the application of Internet of Things technology, accelerate the process of upgrading informatization and intelligence, and achieve leapfrog development. This article is aimed at studying the use of the Internet of Things security technology, research, and design a monitoring system for the key technical characteristics of male tennis players. This paper proposes to develop a novel real-time video semantic analysis prototype system for tennis matches, taking the video from the monitoring perspective of tennis matches as the analysis object. The experimental results in this article show that from Wimbledon to the Australian Open, the Australian Open is very slow, and finally, to the French Open, the speed of the ball slows down and improves the accuracy of the tennis crisis system. The average level and the correct answer rate are 61.37%. Eventually, it rose from the highest 86.13% to 86.92%, and the highest was the lowest. It seems that a monitoring system for the basic technical characteristics of male tennis players is more feasible.
Instruments and equipment monitoring system based on the internet of things technology
