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https://hdl.handle.net/20.500.12394/13746
Título: | Proposal of a swimming pool drowning detection system using cameras and raspberry Pi based on machine learning |
Autor(es): | Urruchi Millan, Christopher Mattew Cervantes Chauca, Daniel Fernando Huamanchahua Canchanya, Deyby Maycol |
Asesor: | Huaytalla Pariona, Jaime Antonio |
Palabras clave: | Mecatrónica Mortalidad Medidas de seguridad |
Editorial: | Universidad Continental |
Fecha de publicación: | 2023 |
Fecha disponible: | 11-ene-2024 |
Cita bibliográfica: | Urruchi, C., Cervantes, D. y Huamanchahua, D. (2023). Proposal of a swimming pool drowning detection system using cameras and raspberry Pi based on machine learning. Tesis para optar el título profesional de Ingeniero Mecatrónico, Escuela Académico Profesional de Ingeniería Mecatrónica, Universidad Continental, Huancayo, Perú |
DOI: | https://doi.org/10.1109/RAAI56146.2022.10092956 |
Resumen/Abstract: | Drowning deaths represent the third leading cause of accidental deaths worldwide. This is because traditional techniques for the supervision and care of people, especially children, in large pools are inefficient or, in some cases, non-existent. Nowadays, this problem has become a topic of interest for several researchers who seek to propose different methods of drowning detection. This research work seeks to propose the process to be followed to develop a drowning detection system in swimming pools using cameras and Raspberry Pi based on Machine Learning. To achieve the objective, the use of the Triple Diamond design methodology was proposed. In the development of the first diamond, the information was organized in a Lotus Blossom Diagram, then the problematic situation and the main objective were described. In the development of the second diamond, a bibliometric analysis was performed, searching for information with search equations and then sorting and filtering it, and finally including it in morphological matrices. As a result, an electrical diagram of the system and a flow diagram of the algorithm based on a Support Vector Machine were proposed. |
Incluido en: | https://ieeexplore.ieee.org/document/10092956 |
Extensión: | 6 páginas |
Acceso: | Acceso restringido |
Fuente: | Universidad Continental Repositorio Institucional - Continental |
Aparece en las colecciones: | Tesis |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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IV_FIN_112_Autorizacion_2023.pdf Restricted Access | Autorización | 129.65 kB | Adobe PDF | Visualizar/Abrir Request a copy |
Informe_Turnitin.pdf Restricted Access | Informe de Turnitin | 1.27 MB | Adobe PDF | Visualizar/Abrir Request a copy |
IV_FIN_112_TE_Urruchi_Cervantes_Huamanchahua_2023.pdf | Resumen | 677.93 kB | Adobe PDF | Visualizar/Abrir |
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