Golfers Now Train with 3D Body Tracking and Deep Learning Models
Bryson DeChambeau uses a Google Cloud system that applies deep learning algorithms and proprietary 2D and 3D models. The system tracks more than 30 key points on the body, club, and ball, while recording outcomes such as top of swing, impact, follow-through, and finish.
This shows athletes can replace vague feedback with quantitative biomechanics data. Readers learn to integrate computer vision tools into performance routines instead of relying on coach intuition alone. The workflow shifts from subjective observation to measurable, repeatable analysis.
Bryson DeChambeau works with Google Cloud to run the AI Crusher system. The collaboration produces precise swing metrics that guide his training decisions and equipment adjustments.
Step 1: Open the Google Cloud documentation at https://cloud.google.com/transform and locate the AI Crusher project. Step 2: Upload a video of your swing to the 2D and 3D model pipeline. Step 3: Review the output showing the 30 tracked points and swing phase labels to identify mechanical issues.