Smart Attendance System Using Ai-Driven Face Recognition
DOI:
https://doi.org/10.63856/ijis/v2i4/00033Keywords:
Face recognition, Smart Attendance System, Artificial Intelligence, Computer Vision, Educational Technology, Browser-based AI, Digital Transformation.Abstract
ABSTRACT In modern educational environments, maintaining accurate and efficient attendance records is vital for monitoring student participation, discipline, and academic progress. Traditional methods such as manual roll calls or paper registers are time-consuming, error-prone, and susceptible to proxy attendance, leading to inefficiencies in large classrooms. Existing digital approaches, including RFID and biometric fingerprint systems, have improved accuracy but face challenges related to cost, scalability, and hygiene. To address these limitations, this research proposes a Smart Attendance System based on Artificial Intelligence (AI) and Computer Vision, utilizing face recognition technology for contactless and automated attendance marking. The system employs lightweight frameworks such as face-api.js to perform real-time recognition directly within the browser, eliminating the need for expensive hardware or dedicated servers. It supports student enrollment through multi-angle facial image captures and leverages cosine or Euclidean distance-based comparisons for identity verification. The proposed approach ensures higher accuracy, enhanced efficiency, and scalability, making it a cost-effective solution for modern educational institutions seeking digital transformation.
References
1. Yadav, A., Malhi, S. S., Pushp, P., Raushan, R., Yadav, S. S., Verma, S., & Pandey, S. Smart Attendance System Using Face Recognition. Preprint hosted on SSRN (abstract ID 4487964). (Year not stated in PDF).
2. Reddy, K. V. P., Latha, R. C., Lohitha, M., Sonia, R., & Usha, A. B. (2021). Smart Attendance Management System Using Face Recognition. International Journal of Scientific Research in Science and Technology, 8(3), 706–711.
3. Karunakar, G., Asha Sai, Ch., Chandana Sree, K. V. S. M., & Anil Kumar, K. (2020, May). SMART ATTENDANCE MONITORING SYSTEM (SAMS): A Face Recognition Based Attendance System for Classroom Environment. Volume 04, Issue 05, pp. 194–201.
4. Bhatti, K. L., Mughal, L., Khuhawar, F. Y., & Memon, S. A. (2018). Smart Attendance Management System Using Face Recognition. EAI Endorsed Transactions on Creative Technologies, 5(17), e4. (Received 27 Aug 2018; accepted 23 Oct 2018; published 29 Oct 2018).
5. Zainuddin, A. A., Nor, R. M., Handayani, D., Tamrin, M. I. M., Subramaniam, K., &Sadikan, S. F. N. (2024). Smart Attendance in Classroom (CObot): IoT and Facial Recognition for Educational and Entrepreneurial Impact. APTISI Transactions on Technopreneurship, 6(3), 608–622.
6. Yadav, R., Chauhan, S., Meenu, & Gupta, S.
(2020). Face Recognition Based on Attendance Management System. International Journal of Innovative Research in Computer Science & Technology, 8(3). https://doi.org/10.21276/ijircst.2020.8.3.9
7. Mridha, K., & Yousef, N. T. (n.d.). Study and Analysis of Implementing a Smart Attendance Management System Based on Face Recognition Technique Using OpenCV and Machine Learning. Marwadi University, India
8. Rao, A. (2022). AttenFace: A Real Time Attendance System Using Face Recognition. arXiv preprint arXiv:2211.07582.
9. Bussa, S., Mani, A., Bharuka, S., & Kaushik, S. (2020). Smart Attendance System using OpenCV based on Facial Recognition. International Journal of Engineering Research & Technology, 9(3).
10. Chalise, D., Duwal, R., & Tamang, S. (2025). Attendance System With Facial Recognition Using AI. Zenodo.
11. Patel, J., Gandhi, S., Katheriya, V., Pataliya, P., & Majumdar, A. (2025). Enhancing Classroom Attendance Systems with Face Recognition through CCTV using Deep Learning. Procedia Computer Science, 258, 3031–3041.
12. Kumar, A., Khan, A. M., & Kiran, P. (2024). Face Recognition based Attendance Management System. Zenodo.
13. Ali, M., Diwan, A., & Kumar, D. (2024). Attendance System Optimization through Deep Learning Face Recognition. International Journal of Computing and Digital Systems, 15(1), 1527–1540.
14. Kar, N., Deb Barma, M. K., & Saha, A. (2012). Study of Implementing Automated Attendance System Using Face Recognition Technique. International Journal of Computer and Communication Engineering, 1(28).
15. Chaflekar, S. H., Wadlyakar, C., Gomkar, A., Ikhar, T., Dhore, P., & Hole, P. (2023). Smart Facial Recognition Attendance System Using ESP32 Cam. International Journal of Innovative Science and Research Technology, 8(10), 1332–1335. ISSN 2456-2165.
16. Mishra, A., Bhardwaj, K., & Sharma, V. (2023). Smart Attendance System Using OpenCV. International Journal of Scientific Research in Engineering and Management, 7(1).
17. Thiagarajan, G., Saran, M., Sneha, K., & Janani, J. (2025). A Smart Attendance Management System Using NRF51822 BLE Module and Mobile Application. International Research Journal on Advanced Engineering Hub, 3(4), 1343–1347.
18. Kanna, P. V., Anusuya, K. V., & Vaishnavi, P. (2021). Smart Attendance System using Face Recognition and RFID Technology. In Proceedings of ICCAP 2021 (pp. 1–6). EAI.
19. Kalkar, S., Bide, K., Pujari, A., & Sawant, P. T. (2016). Smart Attendance Management System Using IT. In Proceedings of ICCCES 2016 (pp. 1–5). Rajarambapu Institute of Technology, India.
Abderraouf, T., Wassim, A. A., & Larabi, S. (2024). An Embedded Intelligent System for Attendance Monitoring. arXiv preprint arXiv:2406.13694.
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