https://github.com/surajsanap/neuroforensics
NeuroForensics is an AI-powered criminal detection system using deep learning and OpenCV for real-time surveillance, facial recognition, and weapon detection. It integrates with security cameras, analyzes crime patterns, and enhances law enforcement with forensic data insights, ensuring proactive crime prevention and safer communities.
https://github.com/surajsanap/neuroforensics
css html opencv python yolov8
Last synced: 3 months ago
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NeuroForensics is an AI-powered criminal detection system using deep learning and OpenCV for real-time surveillance, facial recognition, and weapon detection. It integrates with security cameras, analyzes crime patterns, and enhances law enforcement with forensic data insights, ensuring proactive crime prevention and safer communities.
- Host: GitHub
- URL: https://github.com/surajsanap/neuroforensics
- Owner: SurajSanap
- Created: 2025-03-15T21:37:26.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-31T07:24:05.000Z (over 1 year ago)
- Last Synced: 2025-03-31T08:25:38.917Z (over 1 year ago)
- Topics: css, html, opencv, python, yolov8
- Language: Python
- Homepage:
- Size: 10.1 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
README
# NeuroForensics: AI-Powered Criminal Detection System
## 📌 Introduction
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.
## 🚀 Features
✅ **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.
## 🏗️ Technology Stack
- **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:
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]
## 🔧 Installation Guide
### **Step 1: Clone the Repository**
```bash
git clone https://github.com/your-repo/NeuroForensics.git
cd NeuroForensics
```
### **Step 2: Create a Virtual Environment**
```bash
python -m venv env
source env/bin/activate # On Windows, use `env\Scripts\activate`
```
### **Step 3: Install Dependencies**
```bash
pip install -r requirements.txt
```
### **Step 4: Setup the Database**
```bash
python
>>> from app import db
>>> db.create_all()
>>> exit()
```
### **Step 5: Run the Application**
```bash
python app.py
```
Access the web interface at: **`http://127.0.0.1:5000`**
## 📂 Project Structure
```
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
```
## 🎯 How It Works
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.
## 🤖 AI Models Used
- **DeepFace** for face recognition.
- **YOLO (You Only Look Once)** for object (weapon) detection.
- **OpenCV** for real-time image processing.
## 🎦SS
- 1.
- 2.
## 📜 License
This project is licensed under the MIT License.
## 📬 Contact
For queries, reach out via email: `surajsanapcontact@gmail.com`
**Let's build a safer world with AI-powered crime detection!**