Object Detection Through Computer Vision

• Autores: Denis Pato Martínez, Vivian Félix López Batista , Juan Francisco de Paz Santana , María Navelonga Moreno García , Francisco García Encinas
• Localización: New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence: The DITTET 2022 Collection / Daniel Hernández de la Iglesia (ed. lit.) , Juan Francisco de Paz Santana (ed. lit.) , Alfonso José López Rivero (ed. lit.) , 2023, ISBN 978-3-031-14858-3, págs. 122-130
• Idioma: español
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• Resumen

  • This research work is focused on the field of object detection through computer vision, focusing on a very popular topic nowadays, smart cities. Therefore, a proposal is presented, after evaluating the different systems that have been used in the literature, based on deep learning techniques together with the use of images to detect traffic density. The developed technique corresponds to a You Only Look Once (YOLO) algorithm, which allows using previously trained weights or training the weights with a personalized dataset, for traffic detection. In relation to the results obtained after the application of these techniques, it can be observed how, depending on the data set used for training, the algorithm obtains different detections.