Development of a Wildfire Detection and Monitoring Solution Using Computer Vision

Leo Ramos, Edmundo Casas, Eduardo Bendek, Cristian Romero, Francklin Rivas-Echeverría, Dunetchka Cerpa, Pablo Hernández, Gonzalo Orellana, José Luis Ibarra, Carlos Rosas Albrecht, Natalia Cuevas, Juan Carlos Gallardo

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

Resumen

In this work, a platform for the detection, monitoring, and alerting of wildfires is developed, with the aim of demonstrating that the integration of artificial intelligence and other current technologies allows for the development of robust solutions to address various challenges. For this purpose, different versions of YOLOv8 were trained for the detection of fire and smoke. The result of this yielded the best model, the large version of YOLOv8, with metrics exceeding 80% precision and mean Average Precision. This model is integrated into a platform developed to keep a record of all generated alerts and to take actions on them. The platform features functionalities to record the location, date, time, and risk level of each alert. Additionally, it allows for viewing these alerts on a map and includes visualization elements to track the status of all alerts.

Idioma originalInglés
Título de la publicación alojada8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 - Proceeding
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas613-618
Número de páginas6
ISBN (versión digital)9798350362138
DOI
EstadoPublicada - 2024
Evento8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 - Milano, Italia
Duración: 18 sep. 202420 sep. 2024

Serie de la publicación

Nombre8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 - Proceeding

Conferencia

Conferencia8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024
País/TerritorioItalia
CiudadMilano
Período18/09/2420/09/24

Nota bibliográfica

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