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AI Move Recognition Transforms Surf Park Videos and Wave Pool Performance

A major technological breakthrough in AI-automated move recognition is changing how surfing maneuvers will be identified and analyzed. The technology is shaping surf park video content, wave pool performance tracking, and competition scoring.

The Flowstate AI system enables real-time move recognition, utilizing a dataset drawn from more than 7.4 million recorded waves. This advancement by the company provides detailed insights for athletes, coaches, and competition organizers, making performance analysis more precise and accessible.

“Move recognition in surfing is a complex challenge, requiring cutting-edge AI in video processing and analysis,” said Chris Hausler, CTO at Flowstate. “Powered by our unmatched surf library with over 7.4 million waves, this breakthrough advances AI-driven sports analytics, elevating performance tracking, competition insights, and automated highlights.”

How AI Enhances Coaching Sessions

Andy King, Head Coach at Flowstate and elite surf performance coach, says that training in the pool and capturing footage for analysis is now easier.

The AI-assisted move recognition helps coaches pinpoint key moments in a surfer’s session, facilitating technique refinement and skill development. The system recognizes patterns and allows direct comparisons between recorded moves, helping coaches deliver data-backed feedback.

“This is every coach’s dream to have access to,” said Andy. “Flowstate continues to create these amazing tools that save so much time that was previously lost to manual processes and enabling coaches to open the world to us to share our knowledge. This to us as coaches is up there with colonizing Mars for humanity.”

AI-powered move recognition enhancing surf park video analysis and wave pool performance
The recent AI-driven move recognition advancement transforms surf park video analysis as well as the overall user experience.

Improving Competition Scoring with AI

The AI system enhances surf park video scoring with real-time move recognition and wave pool video analysis. It assists judges with precise maneuver identification and automated scoring for social and professional contests. The technology also allows surfers to receive AI-generated performance assessments outside of formal competitions, increasing accessibility.

Automated Surf Video Highlights for Athletes

AI-driven analysis compiles clips of key performances, streamlining content creation for coaching, social sharing, and sponsorship opportunities. By automating highlight generation, the system reduces manual editing time while improving the visibility of notable moments.

AI-powered move recognition enhancing surf park video analysis and wave pool performance
Users can now access their own surf park video analysis and wave pool performance tracking features.

Data-Driven Performance Tracking in Wave Pools

The system logs and analyzes surfer performance in controlled wave environments, providing data on maneuver consistency, completion rates, and progression over time. These insights allow surfers to track improvements through measurable performance metrics, enhancing training effectiveness.

AI-powered move recognition is shaping new possibilities in surfing analysis, competition evaluation, and training methods. As adoption grows, the technology may redefine how athletes and coaches approach surf performance and event scoring.

Flowstate has AI Video installed at several surf parks around the world including the Palm Springs Surf Club, o2 SURFTOWN MUC, Revel Surf, The Wave, URBNSURF and others. Each pool uses a different artificial wave technology.

For more on AI in wave pools and sports analytics, check out our round table discussion on the subject. We also have a podcast with Flowstate CEO Luke Wallace.


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