Boxing is a sport that requires speed, strength, skill, and strategy. But what if artificial intelligence could help boxers improve their performance, as well as enhance the experience for fans and referees? A tech startup called Jabbr has developed an advanced computer vision AI system that could do just that.
Deep Strike: The AI system for boxing
Jabbr’s AI system is called Deep Strike. It can measure 50 different parameters in real time from a video feed of a boxing match. Some of these parameters include:
- Strikes thrown
- Strikes landed
- Impact quality
- Punch speed
- Punch type
- Punch angle
- Distance
- Defense
- Footwork
- Stamina
Deep Strike can also generate automated highlights and change camera angles to follow the action, creating a more immersive and engaging viewing experience for fans.
Testing
Deep Strike was recently tested in a London boxing club for the first time with several amateurs and showed promising results. The system was able to provide accurate and detailed feedback to the boxers and their coaches, as well as display a full suite of stats and highlight reels between rounds.
The system could potentially transform how combat sports collect data and analyze performance, as well as change the game for refereeing, coaching, training, and broadcasting.
Potential benefits
- More objective and consistent refereeing decisions
- More personalized and effective coaching and training programs
- More data-driven and strategic fight preparation and execution
- More interactive and informative broadcasting features
Future plans
Jabbr’s CEO Alan Sweistroup said that he hopes to make Deep Strike available for other combat sports such as MMA, kickboxing, and karate in the future. He also said that he wants to collaborate with other stakeholders in the industry, such as promoters, broadcasters, regulators, and sponsors, to create a unified platform for combat sports data and analytics.
