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SkipTrack AI

Physics-based throw analyzer for competitive stone skipping

Data & Analytics
SkipTrack AI logo

SkipTrack AI

Physics-based throw analyzer for competitive stone skipping

SkipTrack AI uses slow-motion video input to extract stone release angle, spin rate, and velocity at each skip contact point, then models the aerodynamic and hydrodynamic forces governing skip count and distance. Competitors receive a physics breakdown of why each throw produced its result and what adjustments would extend the skip sequence. Target release envelopes are visualized as interactive 3D diagrams.

Key Features

  • Slow-motion throw extraction
  • Spin rate measurement
  • Aerodynamic force modeling
  • Skip sequence prediction
  • 3D release envelope visualization
#stone skipping#physics#competition#throw analysis

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Quick Info

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Data & Analytics
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