FRBA - Libros y Capítulos de Libros

Permanent URI for this collectionhttp://48.217.138.120/handle/20.500.12272/2339

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    Object detection based software system for automatic evaluation of cursogramas images
    (UTN FRBA, 2021-01-01) Pytel, Pablo; Almad, Matías; Leguizamón, Rocío; Vegega, Cinthia; Pollo Cattaneo, Ma Florencia
    The aim of this work is to describe the tasks performed to carry out the development of a software system capable of detecting and recognizing the symbols of Cursogramas in images by using a Deep Learning model that has been trained from scratch. In this way, we seek to assist teachers of an undergraduate subject to automatically evaluate diagrams made as part of the practical exercise of their students. For this purpose, in addition to having carried out a process of understanding the problem and identifying the available data, tasks of technology selection and construction of each of the components that are part of the system are also carried out. Therefore, although the problem domain belongs to the field of university education, thiswork is more related to the engineering and technological aspect of the application of Artificial Intelligence to solve complex problems.