Desenvolvimento de um software para automatizar o sistema de frequencia de alunos por meio de ˆ reconhecimento facial
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Universidade do Estado do Amazonas
Resumo
In this project, a system was developed to automate student attendance through
facial recognition, which aims to reduce the time that the teacher spends in the classroom
to call students. This work first presents the implementation of the database modeling,
which serves as a basis for the development of the system’s API, thus, the implementation
of the project’s business rules, exception handling and other planned functionalities are
initiated, being the backend of the application developed in the Python programming
language. Then, the facial recognition project is started, and in the beginning, there was
the organization of directories, then carrying out the training and identification of users’
images. The training of this project was carried out with the image of 50 users and there
was an accuracy rate of 86%.