Sports are just one use for artificial intelligence (AI), which has expanded dramatically over the past ten years. It can be used, for instance, to enhance an athlete’s health and fitness, to have recent videos of past in-game football plays, or even to determine whether the ball fully crosses the goal line in a soccer match. The employment of AI in cricket, however, has completely altered the game.
The usage of AI by bowlers and batsmen during matches is a significant way that the cricket industry is developing. Bowlers can view the speed at which they released the ball and the distance it travelled before contacting the ground using AI and video of the most recent delivery. While this is happening, batsmen can gain an advantage by utilizing AI to monitor their strike rate (how quickly they are pacing their innings) and the number of runs they have currently scored.
Role of AI
Health and safety of athletes
By addressing an athlete’s health and safety, AI is also altering the game. AI can ensure safety by keeping track of an athlete’s movements. They can give information, such as tracking a player’s oxygen consumption during an exercise, determining how well your practice or workout session can be adjusted, or even something as basic as recording a heart rate. Athletes’ physical and mental problems can be treated faster by doctors because of AI’s diagnostic capabilities.
Live AI judgments
The fact that AI in cricket makes choices in real-time as the game is being played is what makes it unique. DRS findings are reliably predicted using machine learning (Decision Review System). Being run out is one method to be eliminated in cricket. The batsman is out if any portion of his bat or body is still on the field when one of the fielders hits the wicket. When making a close call, the on-field umpires will signal to a third umpire who is seated in a designated area of the stadium. The third umpire will decide whether or not the batsman is out after viewing a live replay with AI assistance.
Another means of dismissal for a batsman is through LBW (leg before wicket). The batsman is out if the ball strikes his pads first and would have hit the wickets if he hadn’t been there. Umpires must be very proficient at this stage because they must be able to determine if the ball will strike the wickets or if the batsman will only faintly touch the ball with his bat. The third umpire can make sure the batsman is out by using specific technologies with AI’s assistance. Hawkeye technology is one of the AI systems.
Choosing Players
AI is essential for selecting new players or prolonging contracts. Coaches can utilize artificial intelligence (AI) to tackle these problems rather than manually tracking player statistics and identifying the next big athlete. It becomes simple to find new gamers. Coaches can utilize artificial intelligence (AI) to find players in player auctions before the start of a season, as in the Indian Premier League (IPL). A player’s market value and whether or not they would be a good fit for their team are two more sophisticated pieces of data that they can track and record.
Fan Engagement Through Fantasy
The ability for fans to interact with their preferred team is the final way AI has an impact on the cricket industry. Virtual assistants and AI can increase user involvement by keeping track of news about their favourite teams, tickets for games, notifications on injury reports, how many fantasy points they won, and even something as simple as keeping track of a team’s schedule. AI facilitates friendship between friends by providing a fantasy game in which they can participate.
The AI keeps track of how many fantasies points each participant accumulates, and whichever friend has the most points feels content because they made the appropriate player selections with AI‘s assistance. For the top cricket leagues, like the IPL (Indian Premier League), BBL (Big Bash League), CPL (Caribbean Premier League), and many others, there are a lot of fantasy gaming apps available.
AI is utilized for streaming and broadcasting: With the aid of AI platforms, broadcasters may select the highlights they want to transmit from the cameras that are capturing the match, radically upending how sports are commercialized. By the local language, it can also offer subtitles for live events.
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