Access control and automation of environments with Artificial Intelligence of Things
Abstract
In many cases, access to rooms and laboratories in controlled locations becomes expensive due to the use of access control sheets, keys, and the need for personnel to open and close these environments. This work presents a solution that uses IoT devices operating autonomously, eliminating the need for users to carry any access devices or accessories; the presence of the user on-site is sufficient, in addition to generating automated reports. The proposed system is composed of four main IoT components as a solution to the problem. In its test version, the system proved to be efficient and capable of meeting the needs of autonomous access control.
References
Alberti, A. M., Santos, M. A. S., Souza, R., et al. (2019). Platforms for Smart Environments and Future Internet Design: A Survey. IEEE Access, v. 7, p. 165748–165778.
FACELI, K.; LORENA, A.C.; GAMA, J.; AL, E. (2021). Inteligência Artificial - Uma Abordagem de Aprendizado de Máquina. Grupo GEN. v. 2a edição.
Luís Gustavo Maschietto, Anderson Luiz Nogueira Vieira, Fernando Esquírio Torres, et al. (2021). Arquitetura e Infraestrutura de IoT. 1a edição ed. Editora: Grupo A. v. 1.
Nguyen, L., Cao, T. N. M., Huynh-Anh, L. and Dang-Ngoc, H. (21 dec 2021). An Embedded Machine Learning System For Real-time Face Mask Detection And Human Temperature Measurement. In 2021 8th NAFOSTED Conference on Information and Computer Science (NICS). IEEE. https://ieeexplore.ieee.org/document/9701494/, [accessed on Jun 17].
Santos, E. O., Moitinho, L. C. C., De Almeida, W. T. and Benicasa, A. X. (2021). Reconhecimento de Faces e Identificação de Regiões de Interesse em Cenas para o Acompanhamento Baseado na Movimentação de Servomotores e Inteligência Artificial. p. 10.
