Volume no :
9 |
Issue no :
02
Article Type :
Scholarly Article
Author :
Aditya Deshmane, Rushikesh Mundlik, Om Kute, Prof. M.A.Patil
Published Date :
June, 2025
Publisher :
Journal of Artificial Intelligence and Cyber Security (JAICS)
Page No: 1 - 9
Abstract : This paper presents the design and evaluation of a Face Recognition Smart Attendance System, aimed at automating and simplifying attendance tracking. Utilizing Python with OpenCV and Dlib for real-time face detection, the system addresses the inefficiencies and vulnerabilities of manual attendance methods. A full-stack web application, built with Next.js, Express.js, and MongoDB, facilitates data storage and retrieval. Data analytics techniques are employed to extract meaningful insights from attendance records. Experimental results demonstrate the system's potential to enhance accuracy, efficiency, and security in attendance management, even under varying environmental conditions.
Keyword Face Recognition, attendance system, data analytics
Reference:
  • Smith, A., & Johnson, B. (2022). Advanced Authentication Protocols for Secure Web Access. Journal of Information Security, 15(3), 210-225.
  • Lee, C., & Kim, D. (2021). Real-Time Face Recognition for Access Control Systems. In Proceedings of the International Conference on Biometrics (ICB), 150-157.
  • Brown, E. (2020). Streamlining Administrative Processes Through Workflow Automation. Journal of Organizational Management, 12(4), 320-335.
  • Zebari, R., & Sallow, A. (2021). Face Detection and Recognition Using OpenCV. Journal of Soft Computing and Data Mining, 2(2).
  • Emmanni, P. S. (2024). Architectural Patterns and Best Practices for Scalable Enterprise Applications with Angular. Journal of Mathematical & Computer Applications, 3(1).
  • Mahbub, M. (2024). EXPLORING THE IMPACT OF DATA MINING IN EDUCATION THROUGH A QUALITATIVE STUDY OF LEARNING PATTERNS. Acta Electronica Malaysia, 8(10).
  • Chen, H., & Wang, L. (2022). Robust Facial Recognition Under Illumination Variations. Pattern Recognition, 125, 108530.
  • Al-Rawi, A., & Al-Hassan, A. (2020). Automated Attendance System Using Biometric Technologies. Journal of Information Technology and Application in Education, 1(2), 56-65.