I need a complete, field-ready camera solution that can sit above a small football pitch or cricket net, follow every movement automatically, record the full match in HD, and offer both live and post-game insights. The core requirements are straightforward: • Sports coverage: football and cricket only for this first phase. • Tracking: the unit must detect the ball and every player on the field without a human operator, smoothly panning or digitally zooming to keep the action centred. • Analytics: during play I want an on-screen overlay (or a companion web panel) that shows real-time ball-possession percentages plus key individual player stats; after the whistle, an exportable report with the same metrics, broken down by period or innings. • Environment: the system will be mounted at community turfs and school grounds where bandwidth can be limited, so on-device or edge processing is preferred, with cloud sync once a stable connection is available. • Outputs: MP4 match video, JSON/CSV analytics, and a simple web dashboard. I am open to your preferred stack—YOLO/DeepSORT, TensorFlow, OpenCV, Jetson, or similar—but accuracy and smooth, latency-free tracking come first. Please outline: 1. Your proposed hardware set-up (camera type, compute unit, storage). 2. The computer-vision and analytics pipeline you will build. 3. A rough delivery timeline broken into testable milestones. Successful delivery means I can bolt the unit above a pitch, power it on, press “Start Match”, and walk away knowing I’ll receive a clear recording plus the two analytics sets (possession + individual metrics) both live and afterwards. Let me know your questions and the best way to involve you in field testing.