Attendance System Project

Introduction

The Attendance System Project is an innovative solution developed as part of the Computer Vision subject. It leverages the power of YOLO (You Only Look Once), a state-of-the-art object detection framework, to automate attendance tracking in various contexts, such as classrooms, meetings, or events.

Features

• Real-time Object Detection
• Face Recognition
• Automatic Attendance Recording
• User-friendly Web Interface

Implementation

The project was implemented using Python and the YOLO framework. It involves training the YOLO model to recognize faces and track them in real-time using a camera feed. When a recognized face is detected, the system records the attendance of the corresponding individual.

Challenges

While implementing the project, several challenges were encountered, including real-time processing, optimizing the YOLO model for speed, and ensuring accurate face recognition under various lighting conditions.

Conclusion

The Attendance System Project demonstrates the potential of computer vision and deep learning in automating attendance tracking processes. It offers a robust and efficient solution for educational institutions and organizations seeking to streamline attendance management.