🛡️ 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.

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📸 Project Preview

Monitoring Mode

Intruder Detection & Recording

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🚀 Features

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

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⚙️ 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

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🛠️ Tech Stack

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

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📂 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

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🔮 Future Improvements

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

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👨‍💻 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.