👁️ OMNI EYE - AI Missing Person Detection System

🚀 Team: Dark Squad

Core Members:

• [cite_start]Ary Bhatt [cite: 7]
• [cite_start]Pradeep Pal [cite: 8]
• [cite_start]Nilesh Vishwakarma [cite: 9]
• [cite_start]Nikhil Gupta [cite: 10]

🚧 Project Status

This project is currently under active development (Work in Progress).

I am continuously improving the system by adding new features, fixing bugs, and refining the architecture. The goal of this project is to build an AI-based monitoring system that can process visual data and provide useful insights for real-world monitoring scenarios.

Future improvements may include better model optimization, improved system architecture, and additional automation features.

📌 Project Overview

[cite_start]OMNI EYE ek intelligent software platform hai jo Artificial Intelligence aur Face Recognition technology ka upyog karke missing persons ko detect karne mein madad karta hai[cite: 13]. [cite_start]Is system mein users missing person ki photo aur details upload kar sakte hain, jise AI analyze karta hai[cite: 14, 15].

⚠️ The Problem Statement

• [cite_start]Har saal hazaron log missing ho jate hain aur unhe dhundna mushkil hota hai[cite: 18].
• [cite_start]Missing person data centralized nahi hota[cite: 20].
• [cite_start]CCTV footage manually check karne mein bahut samay lagta hai aur investigation slow ho jati hai[cite: 21, 22].

✅ Our Proposed Solution

Hamara system ek centralized AI platform hai jo:

1. [cite_start]Missing person ka data aur images collect karta hai[cite: 27].
2. [cite_start]Face recognition (OpenCV + AI) ka use karke photos ko encode karta hai[cite: 28, 39].
3. [cite_start]Camera frames aur suspicious images ko analyze karke matches dhundta hai[cite: 29].
4. [cite_start]Match milne par (>80% confidence) family aur police ko automatic alert bhejta hai[cite: 30, 50].

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🛠️ Tech Stack

Component	Technologies Used
Frontend	[cite_start]React.js / Flutter, HTML, CSS, JavaScript [cite: 63, 64, 65, 66, 67]
Backend	[cite_start]Python, FastAPI / Flask [cite: 68, 69, 70]
AI / ML	[cite_start]OpenCV, Face Recognition Library, DeepFace [cite: 71, 72, 73, 74]
Database	[cite_start]MongoDB [cite: 75, 76]
APIs	[cite_start]Google Maps API, SMS API (Twilio / Fast2SMS), Email API [cite: 77, 78, 79, 80]

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🔄 System Workflow

1. [cite_start]Registration: User missing person ki photo aur details submit karta hai[cite: 42].
2. [cite_start]AI Encoding: System uploaded face ki unique encoding generate karta hai[cite: 43].
3. [cite_start]Face Comparison: AI system suspicious images aur CCTV frames ke sath faces compare karta hai[cite: 45].
4. [cite_start]Smart Alerting: Match milne par SMS, Email aur Police Dashboard par notification jati hai[cite: 51, 52, 53, 54].

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📈 Future Improvements

• [cite_start]Smart City CCTV: Pure sheher ke CCTV network ke sath direct integration[cite: 91].
• [cite_start]Real-time Processing: Live video feeds ko analyze karke instant detection[cite: 92].
• [cite_start]National Database: Pure desh ke missing person data ko ek sath connect karna[cite: 94].

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🏗️ Libraries Used

[cite_start]opencv-python, face-recognition, deepface, numpy, fastapi, uvicorn, pymongo, requests[cite: 82, 83, 84, 85, 86, 87, 88, 89].