Sep 14, 2021By: Shadab Rabbani
Over the years, technology has become an integral part of cricket, be it for detecting an edge of the bat or predicting the path of the ball. Here’s how AI is used in cricket.
AI has a significant impact on coaching, as it lets coaches make decisions based on a player’s performance.
Data of players, such as performance against opponents, runs and wickets, help coaches prepare better for contests.
AI analysis helps cricket players understand their strengths and weaknesses, and work on them to improve performance.
Machine learning is being used to predict the outcome of a match based on player and team performance data.
AI is being used in Umpire’s decision review system (DRS) to analyze LBW dismissals.
Artificial intelligence is used in getting accurate Duckworth Lewis results during matches affected by bad weather.
AI can help develop stadiums that can ensure matches are not interrupted even in bad weather.
Sports journalism is developing with AI, as it can generate automated match summaries based on match data.
AI can be used to enhance viewer’s experience by optimizing the camera angle or providing subtitles for live events based on location.