ai-surveillance

AI-powered multi-camera surveillance with posture classification, fall/inactivity detection, heatmaps, and real-time alerts. Built using OpenCV, MediaPipe, Streamlit & Flask.

AI-powered intruder detection system (YOLO + ViT crime classifier + streaming + chatbot)

Foundational framework for mission-critical surveillance, autonomous video intelligence, and situational awareness.

An Offline AI powered android app which can detect any human using the phone camera and send a SMS alert to the owner.

Essay from my Artifial Intelligence class, written in collaboration with two other students.

A pattern analysis report investigating how the “paperclip maximizer” AGI narrative distracts from real-time deployment of human-controlled surveillance systems. Includes documentation, funding trails, suppression tactics, and policy implications.

🔒📱 A portable security monitoring system that transforms your phone into a command center for AI-powered surveillance - featuring real-time person detection, instant push notifications, and seamless ESP32 hardware integration for complete peace of mind anywhere, anytime.

Smart AI Surveillance System for Campus Anomaly Detection using YOLOv8

Real-time AI surveillance system using OpenCV, LBPH face recognition, Flask, and automated email/SMS alerting.

AI-powered smart surveillance system using YOLOv8, Kalman Filter tracking, and dynamic auto-zoom for real-time object detection and monitoring.

AI-powered traffic monitoring and surveillance analytics system for vehicle tracking, intrusion detection and real-time traffic analysis.

Multi-modal classroom analytics suite integrating head pose estimation, fatigue detection, FER-based sentiment analysis, and real-time engagement scoring.

AI-powered offline exam surveillance using computer vision and ML. Detects cheating through face, gaze, and object tracking without internet. Includes a future-ready React + Django dashboard.

Decision-aware AI surveillance system with YOLOv8 weapon detection, contextual risk scoring, temporal validation, evidence capture, and automated SMS alerting.

AI-powered Smart City surveillance system that detects anomalies like fire, smoke, or accidents using YOLO, sends real-time alerts via email, and stores events in Supabase for monitoring and analysis.

AI Smart Surveillance System is a real-time computer vision project that detects intrusion, fights, suspicious movement, and aggressive behavior from live video. It uses person detection, tracking, pose estimation, and facial analysis to trigger voice alerts, email notifications, and save incident clips for security monitoring.