Wildfire Smoke

Wildfire smoke detection is a critical area of research focusing on developing automated systems for early fire identification, improving response times, and mitigating the devastating impacts of wildfires. Current research heavily utilizes deep learning, employing convolutional neural networks (CNNs) and transformer-based architectures like Swin Transformers, often incorporating temporal analysis of video data for improved accuracy in detecting obscured flames. These advancements, coupled with the creation of large, publicly available datasets, are driving progress towards more reliable and efficient wildfire detection systems, ultimately enhancing wildfire management and public safety.