Drone Design for Urban Fire Mitigation

Robert Humberto Pinedo Pimentel, Felix Melchor Santos Lopez, Jose Balbuena, Eulogio Guillermo Santos de la Cruz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Attending urban fires in high buildings is complicated due to challenges in accessing fire areas and the lack of related information. Specifically, in the capital of Peru, Lima, with increases in building floors during recent years and the availability of only one telescopic ladder, such tasks are even more challenging. This article proposes integrating a commercial drone with a fire extinguisher ball mechanism, which stores three balls launched horizontally. This system is connected to a cloud-hosted web interface leveraging an Amazon Web Services (AWS) software architecture, developed with version three of the Attribute Driven Design (ADD) methodology. Drone-related data monitoring and mechanism controls are performed through this web interface. The system also incorporates a camera leveraging the You Only Look Once X (YOLOX) algorithm to detect people’s presence within the urban fire’s event field.

Idioma originalInglés
Título de la publicación alojadaCSEI
Subtítulo de la publicación alojadaInternational Conference on Computer Science, Electronics and Industrial Engineering (CSEI) - Advances and Applications in Computer Science, Electronics and Industrial Engineering. Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2022
EditoresMarcelo V. Garcia, Carlos Gordón-Gallegos
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas262-277
Número de páginas16
ISBN (versión impresa)9783031305917
DOI
EstadoPublicada - 2023
EventoInternational Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2022 - Ambato, Ecuador
Duración: 7 nov. 202211 nov. 2022

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen678 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2022
País/TerritorioEcuador
CiudadAmbato
Período7/11/2211/11/22

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