📌 AI-Powered Missing Person and Criminal Identification & Police Alert System

🔍 Overview

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.

✨ Key Features

• 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

🚀 Technology Stack

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

🔄 System Workflow

1. Administrator Authentication
   

2. Database Management
   

3. Video Feed Monitoring
   

4. Facial Recognition Processing
   System continuously analyzes frames for potential matches

5. 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

   

6. System Management
   Database Records
   

   Detection History
   

🌐 API Endpoints

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

🔒 Security Infrastructure

• 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

🚀 Future Development Roadmap

• 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