Publication Type : Book Chapter
Publisher : IEEE
Source : Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
Url : https://ieeexplore.ieee.org/abstract/document/10250467
Campus : Amritapuri
School : School of Computing
Year : 2023
Abstract : The quest for efficient and accurate identification methods has become paramount in today's rapidly evolving technological landscape. Facial recognition is a powerful means of discerning individual identities among the various approaches. This groundbreaking research presents an advanced paradigm that prioritizes the development of a highly sophisticated model aimed at precise facial recognition for personal identification. The principal objective revolves around capturing attendance exclusively from individuals demonstrating remarkable attentiveness and engagement during meetings or lectures. It augments the overall learning environment and fosters active participation among attendees. Demonstrating an impressive accuracy rate of 92%, this model offers tremendous potential for implementation in educational institutions and business workstations.
Cite this Research Publication : KV, Aswin Babu, Goutham Rajesh, Rahul P. Nair, S. Abhishek, and T. Anjali. "Transforming Attendance Monitoring: The Prodigy of Advanced Face Recognition Systems." In 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), pp. 1032-1039. IEEE, 2023.
