DeChambeau's Google Cloud Pipeline Tracks 30-Plus Points Through Four Swing Phases. You Can Track One.
Bryson DeChambeau uses an AI system developed on Google Cloud. It applies deep learning with proprietary 2D and 3D biomechanical models. The system tracks over 30 key points on the golfer's body, club, and ball. It analyzes four phases: top of swing, impact, follow-through, and finish.
The pedagogical value here is phase-specific diagnosis rather than holistic impression. Most learners evaluate a motion as 'good' or 'bad.' Decomposing into named phases permits targeted intervention. You isolate failure points instead of rebuilding entirely.
Bryson DeChambeau, professional golfer, working with Google Cloud. The source does not quantify stroke improvement or tournament wins resulting from this specific implementation.
Step 1: Choose one repetitive motion you perform: a tennis serve, a kettlebell swing, or even a typing posture. Film it from the side. Expected outcome: a 5-second reference clip. Step 2: Manually identify four phases: preparation, execution, contact, and follow-through. Write timestamps for where each begins in your clip. Expected outcome: a phase breakdown on paper. Step 3: Pick one phase. Film ten repetitions and note which repetition shows the clearest deviation from your mental ideal. Expected outcome: one phase and one specific visual cue to correct, mimicking the structured analysis of DeChambeau's system at human scale.