Automated Student Attendance Monitoring and Analytics System for Colleges

Authors:

Tarun S

Student, Information Science and Engineering Presidency University, Bangalore, India

Email: TARUN.20221ISE0030@presidencyuniversity.in

Gopi Krishna

Student, Information Science and Engineering Presidency University, Bangalore, India

Email: DAPPILI.20221ISE0033@presidencyuniversity.in

Abinaya K

Student, Information Science and Engineering Presidency University, Bangalore, India

Email: ABINAYA.20221ISE0007@presidencyuniversity.in

Jijina MT

School of Computer Science and Engineering Presidency University, Bangalore, India Email: jijina@presidencyuniversity.in

Abstract—Attendance monitoring is a core component of education management (and student performance). and institutional discipline. Conventional attendance systems are dependent on manual systems like roll calls or paper-based registers which are time consuming and prone to error and compromise. proxy attendance. This is an Automated Student which is presented in this paper. Integrated attendance tracking and analytics system. RFID and face recognition technologies providing a reliable yet effective solution. The system employs computer vision, methodologies to recognize students real-time and automatically. mark attendance. RFID is also integrated to serve as an extra authentication mechanism to increase security. The collected attendance The data is kept in a central data base and handled by. an analytics module to create reports like attendance. percentages, trends and shortage notices. The proposed system saves time and effort and makes it possible to be real-time monitoring, Efficiency has been found to be improved in experiments. and dependability over conventional systems, which makes it appropriate. to contemporary schools of learning.

Index Terms—Face Recognition, RFID, Attendance System, OpenCV, Automation, Analytics