NeuroForensics is an AI-powered criminal detection system that leverages deep learning, OpenCV, and real-time surveillance to enhance security operations. It integrates with security cameras, performs facial recognition, and detects weapons to assist law enforcement in proactive crime prevention.
✅ Real-time Video Processing - Stream live camera feeds with OpenCV.
✅ Facial Recognition - Identify known criminals using deep learning models (DeepFace).
✅ Weapon Detection - Detect firearms and knives using AI models.
✅ Database Management - Store and retrieve criminal profiles with crime details.
✅ Secure Authentication - User login system to manage cameras and detections.
✅ Automated Alerts - Log detections with timestamps for forensic analysis.
- Python (Flask for the backend)
- OpenCV (Real-time video streaming & processing)
- DeepFace (Facial recognition)
- YOLO (Weapon detection)
- SQLite (Database storage)
- HTML, CSS, JavaScript (Frontend interface)
flowchart TD A[Start] --> B[User Login/Register] B --> C[Dashboard] C --> D[Manage Cameras] D --> E[Register Camera] D --> F[Delete Camera] C --> G[Stream Camera] G --> H[Face Detection] G --> I[Weapon Detection] H --> J[Store Detection Data] I --> J I --> K[Trigger Alert] J --> L[Generate Report] K --> L L --> M[End]
git clone https://github.com/your-repo/NeuroForensics.git
cd NeuroForensicspython -m venv env
source env/bin/activate # On Windows, use `env\Scripts\activate`pip install -r requirements.txtpython
>>> from app import db
>>> db.create_all()
>>> exit()python app.pyAccess the web interface at: http://127.0.0.1:5000
NeuroForensics/
│── models/
│ ├── database.py # Database models
│ ├── face_detection.py # Face recognition logic
│ ├── weapon_detection.py # Weapon detection logic
│── templates/
│ ├── dashboard.html # Live monitoring interface
│ ├── manage_cameras.html # Camera management UI
│── static/
│── uploads/ # Criminal images storage
│── app.py # Main Flask application
│── requirements.txt # Dependencies
│── README.md # Project documentation
1️⃣ Register Cameras - Add security cameras via IP streams.
2️⃣ Real-time Face & Weapon Detection - Detect criminals & weapons live.
3️⃣ Store Criminal Data - Save face encodings in the database.
4️⃣ Forensic Logging - Capture and store images for forensic analysis.
- DeepFace for face recognition.
- YOLO (You Only Look Once) for object (weapon) detection.
- OpenCV for real-time image processing.
This project is licensed under the MIT License.
For queries, reach out via email: surajsanapcontact@gmail.com
Let's build a safer world with AI-powered crime detection!