I have a Raspberry Pi 4 and a USB-powered camera waiting to be turned into a fully automated average-speed enforcement system focused on cars. The goal is simple: capture each vehicle as it passes Point A and Point B, compute the travel time between those marks, derive the average speed, and immediately flash an on-screen alert whenever the preset limit is exceeded. Here is what I need delivered: • Software that runs natively on Raspberry Pi OS, leverages OpenCV (or an equivalent library) for vehicle detection and tracking, and stores all processing locally on the Pi. • Accurate timestamp matching from the two checkpoints so every car’s travel time is reliable, even during heavy traffic. • Real-time calculations that compare the measured average speed against a configurable limit and push instant visual feedback to the HDMI display connected to the Pi. • Automatic capture and storage of violation snapshots or short video clips, along with a log file that lists plate or vehicle ID (if detectable), timestamps, measured speed, and limit exceeded. • A concise setup guide covering hardware wiring, software installation, configuration of distance and speed thresholds, and basic troubleshooting steps. Acceptance criteria – System identifies >95 % of passing cars in daylight conditions. – Speed calculation error margin ≤ 3 %. – On-screen alert appears within one second of violation detection. – All logged data persists after reboot and can be exported via USB or SCP. When you place your bid, please highlight your direct experience with Raspberry Pi computer-vision projects or similar speed-detection solutions, and briefly note the libraries or frameworks you prefer to use. Source code, install scripts, and documentation are all part of the final hand-off.