Applying artificial intelligence models for the automatic forest fire detection
Document typeConference lecture
Rights accessOpen Access
Throughout the past decade, the development of Artificial Intelligence-based devices for the automatic detection of early stage forest fires has been a growing focus. Computer Vision techniques are well-suited for this problem due to the distinctive visual characteristics of forest fires. The effectiveness of several Artificial Intelligence algorithms in a binary classification problem involving fire/ non-fire images was assessed by comparing them using a publicly available dataset. The benchmark dataset was used to both train and evaluate the models. An optimization method was employed to train the Artificial Intelligence algorithms, resulting in a higher performance than that previously achieved by studies on the same dataset.
CitationEl Madafri, I.; Peña Carrera, M.; Olmedo Torre, N. Applying artificial intelligence models for the automatic forest fire detection. A: "Avenços en recerca i desenvolupament del Departament d'Enginyeria Gràfica i de Disseny". OmniaScience, 2023, p. 95-104. ISBN 978-84-126475-1-8. DOI 10.3926/ege2023.