Driver Sentinel 🚗

Welcome to the Driver Sentinel! This application aims to enhance road safety by incorporating features such as drowsiness detection, seatbelt monitoring, and driving license verification. With AI-powered systems, this app ensures a safer driving experience for everyone.

Features ✨

• Drowsiness Detection: Tracks the driver's eye movements to detect signs of fatigue and triggers an alarm. 💤
• Seatbelt Detection: Monitors if the driver and passengers are wearing seatbelts, ensuring compliance with safety protocols. 🎗️
• License Detection: Identifies and verifies driving licenses using advanced object detection. 📜
• Streamlit Dashboard: Provides a real-time interface for easy monitoring and alerts. 🌐

Hosted Version 🌐

A hosted version of the Driver Sentinel app is available at: Driver Sentinel

⚠️ Warning: Try to revert to local installation and use of the Streamlit app instead of hosted version as Streamlit cloud doesn't currently supports live webcam features . So you have to run the app locally by following the below mentioned steps .

How to Use 🚀

1. Clone the Repository

git clone https://github.com/yourusername/driver-sentinel.git
cd driver-sentinel

2. Install Dependencies

pip install -r requirements.txt

3. Running Individual Detection Features

You can run specific detection features by navigating to their respective folders and executing the Python scripts:

1. Drowsiness Detection

   cd DriverDrowsiness
   python detect_drowsiness.py
   

2. Seatbelt Detection

   cd SeatBelt_Detection
   python detectSeatBelt.py

3. License Detection

   cd DrivingLicense_Detection
   python detect_license.py

4. Running the Full Dashboard To view all features in a single dashboard:

   cd web_app
   streamlit run app.py

Contributing 🤝

1. Fork the repository.

2. Create a new branch:

   git checkout -b feature-branch

3. Make your changes. ✏️

4. Commit your changes:

   git commit -am 'Add new feature'

5. Push to the branch:

   git push origin feature-branch

6. Open a pull request.: 📥

Project Structure 🗂️

• DrowsinessDetection/: Contains code and resources for detecting drowsiness.
• SeatBelt_Detection/: Houses scripts for real-time seatbelt usage monitoring.
• License_Detection/: Includes tools for driving license verification.
• web_app: Main file to run the Streamlit dashboard.
• requirements.txt: Python dependencies for the project.

Dependencies 🧩

The project relies on the following Python packages:

• TensorFlow
• OpenCV
• Streamlit
• NumPy
• Matplotlib
• Seaborn
• YOLOv8
• Keras
• scikit-learn
• playsound

Stay safe and drive responsibly! 🚦