A Survey on Automated Student Attendance Management System Using Face Recognition

Authors

  • Tejas Gowda S Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Surya G Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Supreetha H Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Syed Zaiban Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Harish K Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India

DOI:

https://doi.org/10.5281/zenodo.4902954

Keywords:

Attendance Management, Mobile Application, Face Recognition, Convolutional Neural Network (CNN), Machine Learning

Abstract

Maintaining attendance system of students of various classes and accessing them is a difficult task. Calling names of each student in each hour and keeping a record of the attendance is time consuming as well. Other issues would be false sign, name missing out in sheets, manually entering data to computers and there is also a chance of proxy attendance. The following system marks attendance based on the concept of face detection and face recognition. The daily attendance of all the students is noted subject wise and is stored by the administrator. Hence, accessing as well as storing the attendance system is easier and more efficient. It makes effective and perfect application of man power and resources.

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References

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Radhey Shyam, Yogendra Narain Singh, “Automatic Face Recognition in Digital World”, ACSIT, 2015.

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Published

2021-06-04

How to Cite

[1]
T. Gowda S, S. G, S. H, S. Zaiban, and H. K, “A Survey on Automated Student Attendance Management System Using Face Recognition”, pices, vol. 5, no. 2, pp. 19-21, Jun. 2021.

Issue

Vol. 5 No. 2 (2021): Issue 2 - May 2021

Section

Articles

URN

http://nbn-resolving.de/urn:nbn:de:101:1-2021060509113951907010

License

Copyright (c) 2021 Perspectives in Communication, Embedded-systems and Signal-processing - PiCES

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.