Automated Attendance System Using Facial Recognition for Educational Institutions

Automated Attendance System Using Facial Recognition for Educational Institutions

Madhura N1, Vinod Desai2

Risheek R3, Abhinavaa S Kumar4, Lakshmi Preksha M5, Mohammed Shahid UR Rehman6,

1: Assistant Professor, Dept of CSE, Sai Vidya Institute of Technology, Bangalore

2: Associate Professor, Dept of CSE, Sai Vidya Institute of Technology, Bangalore

3, 4, 5, 6: Student, Dept of CSE, Sai Vidya Institute of Technology, Bangalore.

Email ID: vinod.desai@saividya.ac.in, madhura.n@saividya.ac.in, risheekr.22cs@saividya.ac.in, abhinavaaskumar.22cs@saividya.ac.in, lakshmipreksham.22cs@saividya.ac.in, mohammedshahidur.22cs@saividya.ac.in.

Abstract — Taking attendance in educational institutions has traditionally been a tedious and error-prone task. This paper introduces an Automated Attendance System that leverages facial recognition technology to make the process seamless and efficient. With this system, educators can simply take a photo of their class, upload it, and receive an instant attendance report. The system securely stores student details—such as photos, names, and roll numbers—in a MongoDB database. Using advanced facial recognition algorithms, it matches student faces with existing records, marking those present while identifying absentees. By automating this routine task, the system minimizes manual effort, enhances accuracy, and offers a scalable solution suited for modern educational environments.