HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings

Abstract

In this paper, we aim to solve critical issues organizations face during attendance monitoring. Conventional log-in systems fail to effectively ensure successful attendance monitoring, and challenges such as user manipulation, social distancing making biometric devices obsolete, and other issues arise. To address these challenges, we propose a two-factor authentication system based on distance and face recognition. The system incorporates advanced geo-tracking tools and technologies with web3 features and double-factor authentication using face recognition technologies and accompanying distance monitoring devices and tools. Our system provides secure, adaptive, and advanced log-ins for employees and attendance monitoring for employers. The proposed system is scalable by simply accompanying more distance-tracking devices with no additional support systems required. It is a smart, user-friendly, and effective log-in system designed to optimize resource and time allocation for any organization. Compared to other two-factor authentication systems, our system is faster, more secure, and does not require central devices. It is also more friendly and flexible, offering a viable solution for maintaining a safe environment and easing procedures for employees and managers. Keywords: Adaptive systems, Face recognition, Authentication, Organizations, Social factors, Registers, Resource management