Desenvolvimento de um software para automatizar o sistema de frequencia de alunos por meio de ˆ reconhecimento facial

Abstract

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%.