Automated Attendance Tracking System using Face Recognition Technology

This abstract describes a face recognitionbased attendance system that utilizes advanced computer vision and machine learning techniques to accurately identify individuals and record their attendance. The system uses a camera to capture images of individuals, which are then processed by a deep learning model to extract facial features and match them against a database of known individuals. The system can handle large groups of people and can operate in various lighting and environmental conditions. The system provides real-time monitoring of attendance and generates reports, making it suitable for use in a wide range of applications, including schools, universities, and workplaces. Overall, this system offers a reliable and effcient alternative to traditional attendance tracking methods.