Automated Attendance and Monitoring system using Machine Learning

  • Sanjana Mekala
  • Vishnu Vandana Pyatla
  • Sai Bhavyasree Vootla
  • Ashwini Ambigalla
  • Mareswara Rao Y

Abstract

The conventional attendance method is arbitrary, inefficient, and time consuming. The proposed solution aims to increase the attendance system's adaptability and performance. To improve and upgrade the current attendance system, this study describes a face acknowledgment based participation checking framework for instructive foundations. Face detection and identification technology will be used behind the scenes. Understudies whose countenances are perceived are promptly gotten participation, which is refreshed in the EXCEL sheet alongside the time the face is perceived. A wire bunch contains the names of the understudies who are missing from class. Students who are present in class for a specified period of time are rewarded attendance. This is accomplished by monitoring. The entire database is uploaded to the cloud and can be accessed at any time.

Keywords: LDA, Machine Learning , KNN.

Downloads

Download data is not yet available.

References

[1] International Journal of Engineering Research & Technology (IJERT) http://www.ijert.org ISSN:2278-0181 IJERTV10IS080085 (This work is licensed under a Creative Commons Attribution 4.0 International License.) Published by : www.ijert.org Vol. 10 Issue 08, August-2021.
[2] International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Published by, www.ijert.org NCETER - 2021 Conference Proceedings.
[3] Suman Kumar Jha, Aditya Tyagi, Kundan Kumar, Madhvi Sharma, Attendance management system using face recognition, IJERT, 18-07- 2020.
[4] Mayur Surve, Priya Joshi, Sujatha Jamadar, MinakshiVharkate, Automatic attendance management system using face recognition technique, ISSN 2277-3878, May.2020.
[5] V. Ruhitha, V. N. Prudhvi Raj and G. Geetha, "Implementation of IOT based Attendance Management System on Raspberry Pi," 2019 International Conference on Intelligent Sustainable Systems (ICISS), Palladam, Tamilnadu, India, 2019.
[6] E. Varadharajan, R. Dharani, S. Jeevitha, B. Kavinmathi and S. Hemalatha, "Automatic attendance management system using face detection," 2016 Online International Conference on Green Engineering and Technologies (IC-GET), Coimbatore, 2016.
[7] Samuel Lukas, Aditya Rama Mitra, RirinIkanaDesanti, Dion Krisnadi (2016), “Student Attendance System in Classroom Using Face Recognition Technique”, International Conference on Information and Communication Technology Convergence (ICTC).
[8] ShireeshaChintalapati, M.V. Raghunadh, Automated Attendance Management System Based on Face Recognition Algorithms, 2013 IEEE International Conference on Computational Intelligence and Computing Research, 978-1-4799-1597- 2/13/$31.00 ©2013 IEEE.
Statistics
0 Views | 0 Downloads
How to Cite
Mekala, S., Pyatla, V. V., Vootla, S. B., Ambigalla, A., & Rao Y, M. (2022). Automated Attendance and Monitoring system using Machine Learning. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 8(2), 66-69. https://doi.org/10.33130/AJCT.2022v08i02.014