Abstract
Coronavirus is the biggest challenge faced by humanity in the last 50 years. Coronavirus has united us, and finally, humanity has a single goal in fighting this horrible virus that has killed lakhs and affected millions. The effects of coronavirus are not only human, but also economic. It has led to lockdowns and the stoppage of all economic activity. This enemy can only be stopped by finding a way to not allow it to spread from one person to another. The virus can survive on surfaces such as ATM machines and can be spread without direct physical contact between people. So even if we follow social distancing and do not meet other people, we can still get affected with the virus and struggle in combating the spread of this horrible disease. The dual-layer security and access system allows us to use systems without physical contact by only means of audio and eye blinks. This innovative system can serve as a panacea in this time of need. As coronavirus can be spread by touching surfaces, we can stop the spread by using the dual-layer security and access system. There are multiple avenues where we require secure access for accessing sensitive content or physical areas. All current security and access systems suffer from numerous flaws that make them an inferior option to our proposed dual-layer security and access system consisting of preliminary stage of facial recognition and final password authentication using brain–computer interface. In this paper, we compare and contrast the current systems with our dual-layer system and elaborate the numerous merits of the dual-level security and access system that utilizes the state-of-the-art technology in facial recognition and brain–computer interface and is completely future proof.
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Srivastava, A.V., Lohani, B.P., Kushwaha, P.K., Tyagi, S. (2021). Dual-Layer Security and Access System to Prevent the Spread of COVID-19. In: Prateek, M., Singh, T.P., Choudhury, T., Pandey, H.M., Gia Nhu, N. (eds) Proceedings of International Conference on Machine Intelligence and Data Science Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-4087-9_28
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DOI: https://doi.org/10.1007/978-981-33-4087-9_28
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