Drowsy Alert App

The Drowsy Alert App is a Python-based application that uses computer vision techniques to detect drowsiness in drivers. It utilizes facial landmarks and eye aspect ratio (EAR) to determine if a person's eyes are closed for an extended period, indicating drowsiness. When drowsiness is detected, the app provides an alert to help prevent accidents caused by driver fatigue.

Features

• Real-time drowsiness detection using a webcam
• Eye tracking and EAR calculation for drowsiness assessment
• Alert system (sound alert and visual alert on the screen) when drowsiness is detected
• Configurable drowsiness threshold for personalized sensitivity

Prerequisites

Before running the Drowsy Alert App, ensure that you have the following prerequisites installed:

• Python (version 3.6 or later)
• OpenCV (version 4.2.0 or later)
• dlib (version 19.18.0 or later)
• NumPy (version 1.20.0 or later)
• Playsound (version 1.2.2 or later)

You can install the required dependencies by running the following command:

pip install -r requirements.txt

Usage

1. Clone the repository:

git clone https://github.com/azilRababe/DrowsyAlertApp.git

2. Navigate to the project directory:

cd DrowsyAlertApp

3. Run the application:

python app.py

4. Adjust the drowsiness threshold (optional):
   • Open the app.py file in a text editor.
   • Look for the THRESHOLD variable at the top of the file.
   • Modify the value to adjust the sensitivity of drowsiness detection. Higher values make it more sensitive, while lower values make it less sensitive.

Troubleshooting

• If you encounter errors related to missing dependencies, ensure that you have installed the prerequisites correctly.
• Make sure your webcam is connected and functioning properly.
• If the eye detection or facial landmarks are not accurate, try adjusting the lighting conditions or positioning of your face in front of the camera.

Contributing

Contributions to the DrowsyAlertApp project are welcome. If you find any issues or have suggestions for improvements, please open an issue on the GitHub repository.

Acknowledgements

The Drowsy Alert App is built upon various open-source libraries and resources. The following resources have been used in the development of this project:

• OpenCV
• dlib
• Playsound

Special thanks to the contributors of these libraries and the open-source community for their valuable contributions.

Disclaimer

The Drowsy Alert App is an educational project and should not be solely relied upon for ensuring road safety.