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An AI-powered, real-time surveillance system that fuses YOLOv8 person detection, MediaPipe skeleton tracking, face recognition, and Telegram remote control to deliver intelligent zone-based intrusion detection, automated alerts, and visual monitoring from any camera.
Continuous intruder detection & farm’s suitability for poultry farming. This is informed via a text message to the farmer. Please follow this link for any update/questions:
A two-layer NIDS that uses an ML-powered Flask API for real-time detection and a honeypot for capturing zero-day exploits to continuously retrain the model.
A Python-based intruder detection system that captures video from a webcam, detects objects in real-time, and sends an email notification with an image attachment when an object is detected.