How has cricket evolved due to technologies such as AI and machine learning?



Cricket is the

second most popular sport in the world, with a player population of over 300 million. Cricket, said to have been born in the first half of the 16th century, has undergone major changes in equipment and tactics as technology has evolved. Thinkml , a machine learning news site, summarizes how technology has transformed cricket.

Artificial Intelligence in Cricket
https://thinkml.ai/artificial-intelligence-in-cricket-is-a-significant-prediction-strategy-for-players-luck-assessment/

According to Thinkml reporter Umel Mirza, advances in technology allow us to accurately observe and analyze the details of a cricket match over the course of a stroke, reaching the distance of the ball hit by the bat and reaching the boundary (boundary). By measuring the time up to, it has become possible to predict the ability of the players and the game results.

Cricket has evolved through AI and machine learning, and among them, the bat developed by Intel , which appeared in the ICC Champions Trophy in 2017, is featured. A sensor is attached to the top of the handle of the bat, and it is possible to measure the speed and angle of the swing, the timing of the shot, etc.

Microsoft is also making an IoT sensor for cricket. The sensor, which weighs only 5g, is about the size of a credit card.It acquires information such as speed, shot quality, and twist after the ball hits the bat, and analyzes the acquired data to measure the ability score. You can



By equipping all cricket bats used by players in the game with sensors, it is possible to collect in-game data in real time and output game statistics. By combining the acquired data with the cloud and AI, it became possible to transfer the data to TV stations and analyze the situation even during the game, and to see the prediction of the game development and the graph of the measured value, Mr. Milza said. I will.

Not only is the data sent to TV stations, but it is also transferred to smartphone apps and websites used by athletes and managers. AI can be used not only for game analysis but also for analyzing the weaknesses of each player and suggesting to the manager the necessary practice methods for the team, and for analyzing the strengths and weaknesses of the enemy team and devising a winning strategy. It is said that. Furthermore, it seems that the members participating in the game may be decided by the judgment of artificial intelligence.

Not only athletes but also referees use various technologies. Based on the data acquired by the bat sensor, we check whether the ball hits the bat or check the movie of the game shot by the drone camera to judge the game.



“In order to make cricket even better, we need to develop AI further. Many international clubs and teams are adopting AI to better understand the outcome of the match. As times change, 'The system is more reliable than ever, and technology will improve the game in cricket and even develop new ways to quickly predict match results and player growth,' Mirza said. Is commenting.

in Science, Posted by darkhorse_log