Deep learning models track 30 body points to refine golf mechanics
The AI Crusher system runs deep learning algorithms on proprietary 2D and 3D models. It monitors more than 30 keypoints across body, club, and ball while logging swing phases including top of swing, impact, follow-through, and finish. Shot outcomes are recorded alongside these positions.
Keypoint tracking converts continuous motion into discrete numerical data. Athletes replace vague feedback with exact joint angles and timing values. Training plans become testable hypotheses rather than trial and error.
Bryson DeChambeau has publicly tested the AI Crusher pipeline on Google Cloud infrastructure. The system supplies him with per-swing metrics that he uses to adjust launch conditions and club path.
Step 1: Access the Google Cloud Vertex AI documentation at cloud.google.com/vertex-ai. Step 2: Upload swing video to a custom keypoint detection model configured for 30 body and club landmarks. Step 3: Export the labeled frames and timing data to analyze swing consistency.