First, the app creates customized highlights that automatically cut out the time between points and make a 2-hour match viewable in 30 minutes. SwingVision’s AI processes video in real-time to offer three key benefits. SwingVision is another technology that’s available for all levels of players that uses AI technology and a simple phone camera. So not only can you use this to prepare for matches, but players who are injured can also use this technology to keep their game sharp while they recover, something that is usually extremely challenging to simulate. In Sense Arena, you can practice hitting passing shots at game speed all from the comfort of your own home. For example, let’s say you know you’re playing against a player who likes to come to the net a lot. It does this by offering a variety of training sessions that simulate different skills required to win a tennis match. In particular, the product is geared to supporting a player’s mental development. One of the most exciting and potentially most beneficial is Sense Arena, which uses virtual reality to allow players to simulate real tennis scenarios off the court. Virtual Training ToolsĪI advancements have also been rolled out in virtual training tools that are flooding the market for players at all levels of the game. Rival companies of Hawk-Eye such as Foxtenn have been piloting systems that may offer a better fit for the clay in the next two years. That’s because this surface is “loose” and moves, making accuracy harder to determine at times. While the technology has reached the desired level of accuracy on grass and hard courts, testing is still finalizing on clay courts. The men’s professional tour, The ATP, has recently committed to implementing electronic line calling at all tournaments by 2025, doing away with human line judges altogether. It uses a web of cameras placed around the court alongside AI and data to project an estimation of where the ball will bounce by recreating a 3D model of the shot, which is what fans see on TV screens at home and the court. The prominent technology currently used on tour is called Hawk-Eye. The pandemic has accelerated the implementation of electronic line calling systems that use AI technology and cameras to determine whether a ball is in or out, within 3.6 millimeters of accuracy. Here are some of the exciting AI technologies currently being used in the game: Electronic Line Calling (ELC) With AI technology becoming more and more readily available, players are enjoying a whole lineup of new AI-driven offerings that are providing innovative and creative solutions for players to improve their game both physically and mentally. It’s also an exciting time for recreational tennis players who are looking to improve their game. “Because tennis produces so many data points in just one match, the sport hasn’t been shy of accessing data to feed machine learning systems to accelerate the accuracy of AI in the sport.” Because tennis produces so many data points in just one match, the sport hasn’t been shy of accessing data to feed machine learning systems to accelerate the accuracy of AI in the sport. That’s because, with the help of AI, we are suddenly able to spot patterns within match play data that a human would never be able to see. With athletes at the top of their game looking to gain every advantage possible, AI might be the difference maker. The sport is data-driven at every level, and because of its technical nature, true and accurate data is becoming more important than ever. Not every sport is as well suited to the implementation of AI as tennis is.
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