Attendance System Using Face Recognition

Attendance System Using Face Recognition

Prof. S.S.Vyavahare, Aakash Dabhade, Prathamesh Koli, Pratik Aher

Assistant Professor, Student, Student, Student

Artificial Intelligence and Data Science
Zeal College of Engineering and Research, Pune,Maharashtra, India

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Abstract - This research paper presents an attendance system that utilizes face recognition technology to automate and streamline the process of taking attendance. The proposed system consists of a database of enrolled students and a camera system that captures images of students entering a classroom. The captured images are then compared with the images stored in the database to identify the students and mark their attendance.

The system uses deep learning algorithms and computer vision techniques to recognize the faces of the students, even under varying lighting conditions, poses, and facial expressions.  The system also includes a user-friendly interface for teachers to manage the enrollment of students and monitor their attendance records.

The system's accuracy and efficiency were evaluated through a series of experiments, which demonstrated that the proposed system achieved high accuracy in recognizing the faces of enrolled students and accurately marking their attendance.

Overall, this research paper presents a novel attendance system that addresses the limitations of traditional attendance methods and provides a more efficient and reliable solution using face recognition technology

Keywords - Attendance system, Automated Attendance, Image Processing, Face detection, Face matching, Face recognition.