Resumen
The purpose of the research is to develop a study of models of Convolutional Neural Networks using YOLOv3 and YOLOv5s (Only look once) for the detection of firearms trained with images of weapons obtained from the research database (Soft Computing and Intelligent Information Systems A University of Granada Research Group) in order to test the effectiveness of the algorithm and its training in real images of video cameras in an accessible database, to demonstrate that although the images are of low quality, the chances of identifying the firearm are high.
Idioma original | Inglés |
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Título de la publicación alojada | Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021 |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 61-65 |
Número de páginas | 5 |
ISBN (versión digital) | 9781728176956 |
DOI | |
Estado | Publicada - 22 set. 2021 |
Evento | 13th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2021 - Lima, Perú Duración: 22 set. 2021 → 23 set. 2021 |
Serie de la publicación
Nombre | Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021 |
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Conferencia
Conferencia | 13th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2021 |
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País/Territorio | Perú |
Ciudad | Lima |
Período | 22/09/21 → 23/09/21 |
Nota bibliográfica
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