Driver Drowsiness Detection Alert System Using Python

A tool designed to detect driver drowsiness through face recognition and alert the driver with voice commands. This project leverages Python and machine learning concepts to ensure driver safety by monitoring yawning and eye focus.

Overview

This project uses several powerful libraries and frameworks:

• dlib: A machine learning library for face recognition and landmark prediction.
• imutils: A collection of convenience functions to work with images and video frames.
• scipy: Used to calculate yawning and eye focus percentages.
• OpenCV: A comprehensive library for image and video processing.
• argparse: Provides a command-line interface for running the project with specific parameters.

Hardware Requirements

• A camera with at least 2.0 MP resolution.
• An audio speaker for alerts.
• A Raspberry Pi or a computer system to connect and process the frames using Python.

Project Functionality

The camera captures 10 frames per second. Each frame is checked against the defined thresholds for yawning and eye focus. Alerts are triggered via the speaker:

• Eye Alert: "Open your eyes, sir."
• Yawn Alert: "Take some fresh air, sir."

Press q to quit the application.

Challenges

The most challenging part was installing the dlib library, as many Python versions do not support it directly. After extensive research, the compatible versions were identified as Python 3.8.5 and dlib 19.19.0. Although an XML file can be used for face detection, it is less accurate than dlib.

Installation Guide

Prerequisites

• Python 3.8.5: Ensure that Python 3.8.5 is installed on your system. You can download it from the official Python website.

• Microsoft Visual Studio C++ Build Tools: Required for compiling some of the libraries.

  1. Download the Microsoft Visual Studio C++ Build Tools.
  2. During installation, ensure you select the C++ build tools and the Windows 10 SDK.
  3. Refer this for a complete tutorial for installation https://youtu.be/_keTL9ymGjw?si=7OAD3mpyqf1sf-FP

Setup Instructions

1. Clone the Repository:

   git clone https://github.com/K-GOKULAPPADURAI/Driver-Drowsiness-Detection-Alert-System-using-Python-.git
   cd Driver-Drowsiness-Detection-Alert-System-using-Python

2. Create a Virtual Environment:

   python -m venv venv

3. Activate the Virtual Environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

4. Install Required Libraries:

   • Install CMake:

     pip install cmake

   • Install Other Dependencies:

     pip install -r requirements.txt

5. Run the Application:

   python main.py

Additional Notes

• Ensure your Python version is 3.8.5 to avoid compatibility issues, especially with dlib.
• If dlib installation fails, verify that you have correctly installed the Microsoft Visual Studio C++ Build Tools with the necessary components.
• You can modify thresholds and other settings directly within the main.py file as needed.

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Thank you for using this tool. Feel free to reach out if you have any questions or need further assistance.

Contact Information:

• Phone: 9025421765
• Email: [email protected]

Developed by K. Gokulappadurai, B.E (CSE) in progress...