SURVEY ON SMART ATTENDANCE SYSTEM
Abstract & Details
Research Area
Computer Engineering
Keywords
Machine Learning. Face Detection
Attendance System
Artificial Intelligence
Abstract
The "Smart Attendance System" leverages advancements in artificial intelligence, biometric authentication, and cloud computing to provide a reliable, efficient, and secure method for attendance management. Unlike traditional manual systems prone to errors and manipulation, this system employs facial recognition and deep learning algorithms to accurately identify individuals and mark attendance. Integration with IoT devices ensures seamless deployment in educational and corporate environments. The system also addresses privacy concerns using encryption and provides actionable insights through analytics. Results indicate significant improvements in accuracy, efficiency, and user satisfaction, making this system a promising solution for modern attendance management.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Amit Shah | Genba Sopanrao Moze College of Engineering |
| 2 | Sakshi Mundkar | Genba Sopanrao Moze College of Engineering |
| 3 | Nagraj Shankar | Genba Sopanrao Moze College of Engineering |
| 4 | Shrikant Misal | Genba Sopanrao Moze College of Engineering |
| 5 | Prof. Sangeetha Navale | Genba Sopanrao Moze College of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Shah, Amit, Mundkar, Sakshi, Shankar, Nagraj, Misal, Shrikant, & Navale, Prof. Sangeetha (2025). SURVEY ON SMART ATTENDANCE SYSTEM. International Journal of Advance Research and Innovative Ideas In Education, 11(1), 751-756.
MLA Style
Shah, Amit, et al. "SURVEY ON SMART ATTENDANCE SYSTEM." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 1, 2025, pp. 751-756.
IEEE Style
Amit Shah, Sakshi Mundkar, Nagraj Shankar, Shrikant Misal, and Prof. Sangeetha Navale, "SURVEY ON SMART ATTENDANCE SYSTEM," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 1, pp. 751-756, 2025.
Vancouver Style
Shah Amit, Mundkar Sakshi, Shankar Nagraj, Misal Shrikant, Navale Prof. Sangeetha. SURVEY ON SMART ATTENDANCE SYSTEM. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(1):751-756.
Harvard Style
Shah, Amit, Mundkar, Sakshi, Shankar, Nagraj, Misal, Shrikant, & Navale, Prof. Sangeetha (2025) 'SURVEY ON SMART ATTENDANCE SYSTEM', International Journal of Advance Research and Innovative Ideas In Education, 11(1), pp. 751-756.
Chicago Style
Shah, Amit, et al. "SURVEY ON SMART ATTENDANCE SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 11, no. 1 (2025): 751-756.
Turabian Style
Shah, Amit, et al. "SURVEY ON SMART ATTENDANCE SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 11, no. 1 (2025): 751-756.
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