How Golfeye AI Works: On-Device Edge Processing

What Is Edge AI?

"Edge AI" means the artificial intelligence model runs directly on the hardware device — in this case, the Golfeye camera unit — rather than sending data to a remote cloud server for processing. The camera contains a dedicated AI accelerator chip (neural processing unit) that executes the swing detection, ball tracking, and trajectory computation models locally.

Why Edge AI Matters for Golf Facilities

Golf courses, driving ranges, and outdoor facilities often have unreliable or nonexistent WiFi coverage on the course. A cloud-dependent system fails silently when connectivity drops — mid-round, mid-lesson, mid-tournament. Edge AI eliminates this single point of failure entirely.

Additionally, edge processing means: zero latency (results in 2-3 seconds, not 10-30 seconds for cloud round-trip), no recurring cloud compute fees (processing is "free" once the hardware is purchased), and data privacy (member video stays on-device unless you choose to sync).

The Processing Pipeline (On-Device)

Each swing triggers a sequence that completes entirely within the camera unit:

1. Golfer Detection (50ms) — AI identifies a golfer addressing the ball
2. Swing Trigger (10ms) — Motion pattern matching detects the start of a swing
3. High-Speed Capture (2-4 seconds) — Camera captures the full swing at high frame rate
4. Ball Detection & Tracking (500ms) — AI locates and tracks the ball frame-by-frame
5. Trajectory Computation (200ms) — Physics model computes full flight path
6. Overlay Rendering (300ms) — Shot tracer and data overlays are composited onto the video
7. Output — Final video available for display, app sync, or local storage

Total time: <3 seconds from swing to result.