The Attendance System using Computer Vision is a sophisticated solution designed to streamline attendance tracking for organizations through the power of computer vision. Leveraging OpenCV for image processing and facial recognition, this system offers a reliable and efficient approach to automate attendance management.
The installation process for the Attendance System is straightforward and can be accomplished in a few simple steps.
- Clone the Repository:
git clone https://github.com/ettashamrafid/Attendence-Automation-Using-Computer-Vision.git
- Provide your employee images with their name as image name in the test Images folder
- Ensure to verify and configure your camera devices as input in the code. Additionally, feel free to adjust the dimensions (width and height) of the frame according to your preferences.
I welcome contributions to enhance the functionality and reliability of the Attendance System. If you would like to contribute, please follow these steps:
-Fork the repository. -Create a new branch for your feature: git checkout -b feature-name. -Commit your changes: git commit -m 'Add some feature'. -Push to the branch: git push origin feature-name. -Submit a pull request.
This project is licensed under the MIT License.