Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)

Third International Conference on Recent Advances in Computing Sciences (RACS 2025)

📍Phagwara, India🗓️ 25-26 April 2025
<Previous Article In Volume
Next Article In Volume>

Exploring the Impact of Geotagged Facial Recognition Attendance System in Schools: A Case Study of Jammu and Kashmir

Authors
Junaid Akbar1, *, Deepak Sharma2
1Lovely Professional University, Punjab, India
2Lovely Professional University, Punjab, India
*Corresponding author. Email: Junaidakbarbhat@gmail.com
Corresponding Author
Junaid Akbar
Available Online 7 September 2026.
DOI
10.2991/978-94-6239-768-2_25How to use a DOI?
Keywords
Facial Recognition; JK Attendance App; Geotagging; Employee Attendance; AI-Based Attendance Monitoring; Absenteeism
Abstract

This study examines the impact of the Geotagged Facial Recognition Attendance System on schools in Jammu and Kashmir’s Department of School Education. Using a mixed-method approach, attendance data collected from 383 employees was analyzed alongside qualitative surveys. Results show improved punctuality and transparency but reveal issues like face misidentification, location errors, network problems, and privacy concerns. To improve reliability, AI algorithms should be enhanced, geofencing refined, and alternative verification methods like PIN, RFID or OTP-based authentication introduced. Addressing employee concerns requires feedback, privacy assurances, and training. Policies should include grace periods, manual verification, and approval from Heads of Institutions. Strengthening network infrastructure and continuous monitoring will optimize system efficiency.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)
Series
Advances in Intelligent Systems Research
Publication Date
7 September 2026
ISBN
978-94-6239-768-2
ISSN
1951-6851
DOI
10.2991/978-94-6239-768-2_25How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

Cite this article

risenwbib
TY  - CONF
AU  - Junaid Akbar
AU  - Deepak Sharma
PY  - 2026
DA  - 2026/09/07
TI  - Exploring the Impact of Geotagged Facial Recognition Attendance System in Schools: A Case Study of Jammu and Kashmir
BT  - Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)
PB  - Atlantis Press
SP  - 234
EP  - 239
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-768-2_25
DO  - 10.2991/978-94-6239-768-2_25
ID  - Akbar2026
ER  -