This cutting-edge platform uses real-time facial recognition technology to identify missing persons and criminal suspects from video feeds across multiple locations. When a match is found, the system immediately alerts relevant authorities via SMS, potentially saving crucial time in locating individuals of interest.
- Advanced Facial Recognition - Deep learning algorithms identify individuals by comparing video feed faces against our secure database
- Multi-Location Monitoring - Process simultaneous video streams from various locations for comprehensive coverage
- Instant SMS Notifications - Location-specific alerts sent to authorities when matches are detected via Twilio API
- Comprehensive Logging - Detailed records of all detections including images, timestamps, and location data
- Secure Admin Dashboard - Protected interface for system management, record updates, and detection monitoring
- Centralized Database - Secure storage for facial encodings, personal information, and all system activities
| Component | Technology Used |
|---|---|
| Backend | Flask (Python) |
| Frontend | HTML/CSS with Jinja Templates |
| Database | SQLite |
| Face Recognition | face_recognition library |
| Video Processing | OpenCV |
| Notifications | Twilio API |
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Admin Login
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Admin Dashboard
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Adding Records
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Video Feed Monitoring
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Facial Recognition Processing
System continuously analyzes frames for potential matches -
Alert Generation
When matches are found:- Event is logged in the database
- SMS alert is dispatched to nearest authorized contact
- Detection appears on the dashboard
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Database Records
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Detection History
| Endpoint | Method | Purpose |
|---|---|---|
/ |
GET | Dashboard home (authentication required) |
/login |
GET/POST | Administrator authentication |
/logout |
GET | Session termination |
/add_record |
GET/POST | New person/criminal record creation |
/view_records |
GET | Database record browsing |
/detection_logs |
GET | Historical detection viewing |
/live_feed |
GET | Real-time surveillance monitoring |
/video_feed/<location> |
GET | Location-specific video streaming |
/upload_frame/<location> |
POST | Client device frame submission |
- Role-Based Access Control - Session authentication restricts system access to authorized personnel only
- Anti-Spam Protection - 5-minute cooldown period prevents notification flooding for the same individual/location
- Secure Data Storage - Facial encodings and personal information stored with appropriate security measures
- Cloud Migration - Move to scalable cloud storage for expanded database capabilities
- Enhanced Recognition Models - Implement next-generation deep learning for improved accuracy
- CCTV Integration - Develop connectors for widespread surveillance system compatibility
- Real-Time Alert Upgrade - Implement WebSockets for instantaneous in-app notifications