Bryson DeChambeau Uses Google Cloud AI to Track 30 Body Points for Golf Swing Analysis
Bryson DeChambeau uses a Google Cloud system with deep learning algorithms and proprietary 2D and 3D models. The system tracks more than 30 key points on the body, club, and ball during the swing phases of top of swing, impact, follow-through, and finish. It records shot outcomes to refine performance metrics.
This demonstrates how computer vision can quantify movement patterns that coaches previously assessed by eye. Readers learn to replace subjective feedback with measurable data points from video analysis. The approach shifts training from intuition to iterative testing based on tracked variables.
Bryson DeChambeau applies this Google Cloud system to measure swing mechanics across multiple shots. He uses the resulting data to adjust technique and improve consistency on the course.
Step 1: Record your golf swing with a smartphone camera and upload the video to a Google Cloud Vision or AutoML project. Step 2: Configure the model to detect 30 keypoints on body, club, and ball during the swing phases. Step 3: Review the generated metrics on swing angles and timing to identify adjustments. Visit https://cloud.google.com/vision for setup details.