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🛡️ SentinelAI

AI-Powered Smart Surveillance System using OpenCV & Edge AI

An intelligent surveillance system that detects motion, recognizes authorized users, identifies intruders, records evidence, and sends real-time email alerts.

📸 Project Preview

Monitoring Mode

Monitoring

Intruder Detection & Recording

Recording

🚀 Features

  • 🎯 Motion Detection
  • 👤 Face Detection
  • 🧠 LBPH Face Recognition
  • ✅ Authorized User Verification
  • 🚨 Intruder Detection
  • 📸 Snapshot Capture
  • 🎥 Automatic Video Recording
  • 📧 Email Alerts
  • 📝 Intrusion Logging

⚙️ How It Works

  1. Camera continuously monitors surroundings
  2. Motion is detected
  3. Face is detected
  4. Face Recognition verifies identity

Known User

  • Access Granted
  • No Alert Generated
  • No Recording Started

Unknown User

  • Intruder Alert Triggered
  • Snapshot Captured
  • Video Recording Started
  • Email Alert Sent
  • Event Logged

🛠️ Tech Stack

Technology Purpose
Python Core Development
OpenCV Computer Vision
LBPH Face Recognition
SMTP Email Alerts
NumPy Image Processing

📂 Project Structure

EdgeAI/
├── face_recognition.py
├── recognize_face.py
├── collect_faces.py
├── train_model.py
├── trainer.yml
├── snapshots/
├── recordings/
├── logs/
├── screenshots/
│   ├── monitoring_mode.png
│   └── recording_mode.png
└── README.md

🔮 Future Improvements

  • DeepFace Integration
  • Multi-User Recognition
  • Cloud Storage Integration
  • Mobile Notifications
  • Real-Time Dashboard
  • Web-Based Monitoring Panel

👨‍💻 Author

Devi Krishna Manoj

ECE Student | Edge AI | Computer Vision | AI Automation

Building intelligent systems at the intersection of AI, Embedded Systems, and Computer Vision.