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Real time fire and smoke detection using vision transformers and spatiotemporal learning

Abstract The detection of fire and smoke in images and videos is essential for environmental monitoring and safety; however, the unpredictable nature of fires makes it a difficult task. Although traditional methods such as CNNs, LSTMs, and 3D-CNNs have made progress in fire detection, they frequentl...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Umesh Kumar Lilhore, Yogesh Kumar Sharma, Kavitha Venkatachari, Nikhil Kumar Jain, Sultan Aldossary, Shimaa A. Hussien, Ehab Seif Ghith, Lidia Gosy Tekeste, Sarita Simaiya
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2026-03-01
Schriftenreihe:Scientific Reports
Schlagworte:
Fire detection
Smoke detection
Vision transformers
3D-CNNs
Multimodal fusion
Spatio-temporal features
Online-Zugang:https://doi.org/10.1038/s41598-026-36687-9
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