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Applying artificial intelligence models for the automatic forest fire detection
Abstract
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- Conference lecture
- Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
- Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient::Ecologia
- Forest fires
- Deep learning (Machine learning)
- Forest fire detection
- Sustainable management
- Graphic-based intelligent surveillance
- Deep learning
- Transfer learning
- Models optimization
- Incendis forestals
- Aprenentatge profund
- Sistemes de gestió mediambiental