Sistema para minimizar el riesgo durante la entrega de los estudiantes de educación inicial a los representantes usando técnicas de reconocimiento facial en la Unidad Educativa Cristiana New Life,

Abstract

The use of facial recognition systems has been in great demand in recent years as they offer greater security during the processes carried out in companies and organizations, and are even used by government entities focused on citizen security. They are also present in educational institutions for the control of personnel, or in the case of students for the registration of their attendance. The research project aims to develop a facial recognition system that reliably identifies the representatives or persons authorized to pick up students, in order to ensure a safe delivery of early childhood education students during dismissal. The current process is carried out manually, where teachers, based on their knowledge and experience, are in charge of delivering the students. The system was created in the Matlab development environment in its R2020a version, MySQL version 8.0 was used for the database manager and the facial recognition technique consisted in the application of Neural Networks, with the Alexnet pretrained network. The development process was carried out through the application of the agile methodology Extreme Programming (XP).