Sousa Júnior, Vicente Ângelo deCampos, Millena Michely de Medeiros2022-07-052022-07-052021-08-26CAMPOS, Millena Michely de Medeiros. Classificando o número de pessoas em um ambiente via sinal RF: uma abordagem aplicando aprendizado de máquina. 2021. 45f. Dissertação (Mestrado em Engenharia Elétrica e de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2021.https://repositorio.ufrn.br/handle/123456789/48348This work proposes a technique for counting people in an already populated environment. Initially, a survey of the technologies and solutions designed for this purpose is carried out. As a proof of concept, a counting solution is analyzed for a small number of people, at two different frequencies, applying machine learning to the descriptive statistics of an RF signal. Finally, classification results are presented for a more realistic scenario, with up to 350 people in the environment, using a software-defined radio measurement system for data collection. The results demonstrate significant accuracy in counting the number of people per classification into groups of individuals.Acesso AbertoAprendizado de máquinaContagem de pessoasRadiofrequênciaUSRPmasterThesis