Assessment of Face Recognition Technology for the Attendance System during COVID-19 Pandemic

Authors

  • Wafa Al Saadi Middle East College
  • Vikas Rao Naidu Middle East College https://orcid.org/0000-0001-7354-172X
  • Aparna Agarwal Middle East College
  • Khadija Al Farei Middle East College
  • Karan Jesrani Middle East College

Keywords:

Face Recognition Technology, COVID-19 Pandemic, Attendance System

Abstract

The pandemic of COVID19 has pushed the entire World into a very different scenario. Many corporate sectors have already started looking for a contact-less attendance system after the offices were reopened after a long lockdown period. However, most of such implementations included methods which were not imposing authentication in the process. Hence the idea of using Face Recognition Technology for this purpose was also considered. This is already being used in many highly secured places such as Airport, Customs etc. There is a possibility of implementing this concept in the education sector. By means of the special camera installed at the entrance gate, image (students or employees) is taken when they enter, and the image is processed. After completing the image processing, the face is then compared with the registered (students or employees) pictures. When the identity of the image (student or employee) is determined, will be registered as attendance. Still, there is a need for an assessment of the integrity of this technology which can be done by a thorough literature review in this research paper. Researchers have finally concluded that implementation of this technology for attendance system is very secure and beneficial for the organizations.

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Author Biographies

Wafa Al Saadi, Middle East College

Student,
Department of Computing,
Middle East College, Oman

Vikas Rao Naidu, Middle East College

Senior Lecturer,
Department of Computing,
Middle East College, Oman

Aparna Agarwal, Middle East College

Lecturer,
Department of Computing,
Middle East College, Oman

Khadija Al Farei, Middle East College

Senior Lecturer,
Department of Computing,
Middle East College, Oman

Karan Jesrani, Middle East College

Senior Lecturer,
Department of Computing,
Middle East College, Oman

References or Bibliography

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Chintalapati, S., & Raghunadh, M. V. (2013). Automated attendance management system based on face recognition algorithms. 2013 IEEE International Conference on Computational Intelligence and Computing Research, IEEE ICCIC 2013, 1–5. https://doi.org/10.1109/ICCIC.2013.6724266

Kar, N., Debbarma, M. K., Saha, A., & Pal, D. R. (2012). Study of Implementing Automated Attendance System Using Face Recognition Technique. International Journal of Computer and Communication Engineering, January, 100–103. https://doi.org/10.7763/ijcce.2012.v1.28

Laila Bhatti, K., Mughal, L., Yar Khuhawar, F., & Ahmed Memon, S. (2018). Smart Attendance Management System Using Face Recognition. https://doi.org/10.4108/eai.13-7-2018.159713

Praneeth, T., Rajesh, K., Raju, U. N., & Suneetha Manne, D. R. (2020). FACE RECOGNITION BASED ATTENDANCE SYSTEM USING DEEP LEARNING TECHNIQUES. JOURNAL OF CRITICAL REVIEWS, 7.

Surve, M., Joshi, P., Jamadar, S., & Vharkate, M. (2020). Automatic Attendance System Using Face Recognition Technique. International Journal of Recent Technology and Engineering, 9(1), 2134–2138. https://doi.org/10.35940/ijrte.a2644.059120

Published

06-01-2022

How to Cite

Al Saadi, W., Naidu, V. R., Agarwal, A., Al Farei, K., & Jesrani, K. (2022). Assessment of Face Recognition Technology for the Attendance System during COVID-19 Pandemic. Journal of Student Research. Retrieved from https://jsr.org/index.php/path/article/view/1515