Cloud-Based Storage Solutions for Facial Recognition Attendance Systems

The Automated Attendance System Using Face Recognition presents a resolution for attendance supervision, by utilizing the power of facial recognition technology to automate the tracking process. This innovative system is proposed to improve attendance recording in diverse sectors such as education, corporate, and beyond, by automating the identification process with the best precision and efficiency. Through the integration of compact yet sophisticated algorithms, the system not only delivers seamless attendance tracking but also prioritizes the security and confidentiality of sensitive data, ensuring compliance with privacy regulations with the help of cloud storage. This comprehensive report delves into the development, functionality, implementation strategies, and prospects of the Face Attendance System, highlighting its potential to rewrite the traditional attendance management paradigms and improve organizational efficiency. Using machine learning and many other technologies it is made possible to take attendance using computer vision and related tools. The system provides a complete solution for proxy attendance.

Authors

Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/iccpct61902.2024.10672628
Citations
3
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.75
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article

Cloud-Based Storage Solutions for Facial Recognition Attendance Systems

B. Dani, H Shihabudeen, M P V Naisam, G Melbin et al.
3 citations
Face recognition and analysis
0.75
article

Cloud-Based Storage Solutions for Facial Recognition Attendance Systems

B. Dani, H Shihabudeen, M P V Naisam, G Melbin, Ayisha, T. K. Alex
article en
3 citations

Abstract

The Automated Attendance System Using Face Recognition presents a resolution for attendance supervision, by utilizing the power of facial recognition technology to automate the tracking process. This innovative system is proposed to improve attendance recording in diverse sectors such as education, corporate, and beyond, by automating the identification process with the best precision and efficiency. Through the integration of compact yet sophisticated algorithms, the system not only delivers seamless attendance tracking but also prioritizes the security and confidentiality of sensitive data, ensuring compliance with privacy regulations with the help of cloud storage. This comprehensive report delves into the development, functionality, implementation strategies, and prospects of the Face Attendance System, highlighting its potential to rewrite the traditional attendance management paradigms and improve organizational efficiency. Using machine learning and many other technologies it is made possible to take attendance using computer vision and related tools. The system provides a complete solution for proxy attendance.

Openalex Percentile: Top 28%
Face recognition and analysis
0.75
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