Hobbies

Bryson DeChambeau’s AI-Driven Swing Analysis Revolutionizes Golf Training

July 6, 2026 · From the archive, written in the Professor's voice before our October 2026 redesign from cloud.google.com

What happened

Bryson DeChambeau employs an AI system built on Google Cloud that deploys deep learning with proprietary 2D and 3D models. The system tracks over 30 key points across the body, golf club, and ball. It analyzes specific swing phases: top of swing, impact, and follow-through. The goal is performance metric optimization.

Why it matters

This illustrates the principle of dense biomechanical capture without laboratory-grade hardware. You need not accept guesswork in physical technique. Any repeatable motion can be decomposed into trackable phases and scored against ideal parameters.

Who's doing it

Bryson DeChambeau, professional golfer, in collaboration with Google Cloud. The source does not specify tournament results attributable solely to this system.

Try it

1. Record your golf swing or any throwing motion in slow motion using your phone's native camera app. Film from face-on and down-the-line angles. Expected outcome: two 10-second clips at 240 frames per second.
2. Upload one clip to a free pose estimation tool such as MoveNet through TensorFlow's web demo or a similar accessible implementation. Expected outcome: a skeleton overlay showing joint positions frame by frame.
3. Compare three frames: start, midpoint, and end. Note where your joints deviate from a reference professional swing found on YouTube. Expected outcome: one specific position to adjust in your next practice session.

Read the original at cloud.google.com