Driver Monitoring AI

Welcome to the Driver Monitoring AI project!

This project is a real-time AI-based Driver Monitoring System built to enhance road safety by detecting driver distraction and fatigue. It is designed to run on a Raspberry Pi using a camera module and leverages MediaPipe, TensorFlow Lite, and OpenCV for intelligent monitoring.

Features

• Phone Usage Detection
  Detects when the driver is using a mobile phone while driving.

• Sleep Detection
  Detects if the driver has fallen asleep.

• Fatigue Detection (Yawning)
  Detects repeated yawning as a sign of drowsiness or fatigue.

Requirements

• Raspberry Pi (tested on Pi 5)
• Pi Camera module
• Python 3

License

This project is licensed under the Apache 2.0 License – see the LICENSE file for details.

Disclaimer

This is a proof-of-concept project and should not be used as a sole safety mechanism. Always ensure multiple layers of road safety measures are in place.

Getting Started

Follow these steps to set up and run the project:

1. Clone the repository

   git clone https://github.com/aireynexxx/driver_monitoring_ai.git
   cd driver_monitoring_ai

2. Create a new Python virtual environment

   python3 -m venv venv

3. Activate the virtual environment

   • On macOS/Linux:

     source venv/bin/activate

   • On Windows:

     venv\Scripts\activate

4. Install dependencies

   pip install -r requirements.txt

5. Wait for the installation to complete.

6. Run the application

   python3 main.py

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