Attendance Monitoring system using face recognition

Authors

  • Sanika Kulkarni, Palak Shrivastava, Pushpa Latha Bodineni, Nandini Ambhore, Deepti Choudhari, Dipamala Chaudhari

Abstract

The automatic face attendance monitoring system is a project that records the presence of the students in present in institute or a class. Within this system we can offer an automatic way to count attendance management project. Based on facial recognition and recognition algorithms, this system automatically recognizes a student via CCTV when they enter the institute or in class and signals their present by recognizing them, as well as the techniques to be used to deal with pitfalls such as spoofing. If we compare traditional attendance checks with this system, we save time and also monitor the students. Maintaining attendance is very essential part in all institutions to monitor student performance. Each institution has its own way of dealing with it. Some measure attendance manually using a register or paper method and some have implemented automated methods of attendance using biometrics. This system uses facial recognition to automatically detect the presence of students in the classroom without student involvement. Online Attendance Management System Benefits of Automated Student Attendance Management is software designed to manage a student's day-to-day attendance at the university. Here, the subject staff have one less task to mark student attendance and focus on teaching students until the end of class, as attendance is via CCTV by capturing photos of students and storing them in the database. Generated an automatic report with high fidelity. Our system also helps us to assess student attendance criteria. A detailed student attendance report is generated weekly and monthly.

 

Published

2023-02-22

How to Cite

Sanika Kulkarni, Palak Shrivastava, Pushpa Latha Bodineni, Nandini Ambhore, Deepti Choudhari, Dipamala Chaudhari. (2023). Attendance Monitoring system using face recognition. SJIS-P, 35(1), 115–123. Retrieved from http://sjis.scandinavian-iris.org/index.php/sjis/article/view/243

Issue

Section

Articles