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ABSTRACT
The increasing demand for efficient and secure attendance management systems has prompted advancements in biometric technology. This project provides an innovative solution to streamline attendance tracking through the implementation of biometric face recognition with QR code to cover up some limitations. The proposed Automated Attendance System leverages computer vision algorithms to accurately identify and authenticate individuals based on their unique facial features. This project begins by capturing facial images of registered students during the enrollment phase, extracting distinctive facial landmarks, and creating a biometric template(embeddings). During the attendance recording process, the system uses a real-time camera to capture faces of students, comparing the acquired facial features with the stored templates(embeddings) in the database. The application of QR code system acts as a backup for limitations such as poor lighting conditions, varying camera angles, and changes in facial appearance over time. This implementation aims to eliminate the inefficiency and insecurity of attendance tracking, reducing the potential for errors and providing a more efficient and reliable solution. Taking into consideration the scope of the project which is the University of Benin, Department of Computer Science, this system offers real-time monitoring, generating instant attendance reports for all Computer Science Courses for the respective lecturers.
