AI Sports Camera
A real-time sports filming and analysis camera running a Vision-Language Model on Jetson Edge
An integrated media platform where AI provides automatic filming, live broadcasting, and match analysis for grassroots sports such as soccer, baseball, teqball, and foot volleyball. The NVIDIA Jetson-based smart camera 'Heimdall' runs real-time inference on site, no cloud required.
VLM-Based Auto Filming
Recognizes players and the ball to track and frame the action automatically — zero camera operators
On-Device on Jetson Edge
Real-time inference on site — low latency, low cost, works offline without the cloud
One-Tap YouTube Live
Start broadcasting with a single tap in the app; see live viewer counts in real time
Highlights & Tactical Analysis
Automatic highlight clips and data reports generated after each match
Camera Specs (Heimdall)
Ultra-HD recording
Wide-angle lens — full-pitch coverage
Battery (full match, uninterrupted)
Outdoor water/dust-resistant design
Core Capabilities
AI Auto Broadcasting
Ball/player tracking + event detection (goals, shots, fouls) for automatic cuts and transitions — a broadcast feed with no operator
One-Tap Live Streaming
Stream directly to YouTube with real-time viewer counts and logo/sponsor overlays
Per-Player Highlights
Auto-summarized key moments plus per-player and per-team clips (individual highlight reels)
Tactical Analysis
Heatmaps, pass networks, possession, pressing metrics, set-piece patterns and more
Cloud Storage & Sharing
Matches auto-saved to the cloud; easy sharing and replay across teams and leagues
SaaS + Monetization
Hardware sales + analytics-report subscriptions + API (media, league, player-development platforms)
How It Works
1. Set up
Mount on a tripod beside the pitch and power on — that's it
2. One-tap start
Start filming and live streaming with a single tap in the app
3. AI auto-filming
The VLM tracks the ball and players, framing the shot in real time
4. Live & save
Streams to YouTube Live while auto-uploading to the cloud
5. Analysis report
Highlights and a tactical report are generated automatically after the match
Configuration & Specs
| Item | Details |
|---|---|
| AI chipset | NVIDIA Jetson Orin Nano (on-device inference) |
| Recognition model | Vision-Language Model — ball, players, events |
| Video | 4K UHD · 140° wide-angle |
| Power & durability | 4h+ battery · all-weather water/dust-resistant |
| Output | Automatic broadcast video (FHD/4K) + real-time metadata |
| Target sports | Soccer, baseball, teqball, foot volleyball and other grassroots sports (expanding) |
Global AI in Sports Market Size ($100M)
| Category | 2026 | 2027 | 2028 | 2029 |
|---|---|---|---|---|
| Market size | 200 | 500 | 1,000 | 2,500 |
Roadmap: AI auto-broadcasting completed Feb '26; per-player highlights and tactical analysis launching Dec '26. Next: expansion to more sports (baseball, basketball, futsal, etc.), individual footage for player development and recruitment, and league-wide footage sharing (League Exchange). The goal is to turn grassroots sports venues into an integrated media platform that combines broadcasting, data, and community.