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Fire and smoke object detection is of great significance due to the extreme destructive power of fire disasters. Most of the existing methods, whether traditional computer vision-based models with sensors or deep learning-based models have circumscribed application scenes with…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Intelligence, Models, Monitoring and Inventory
Region(s): International
Keywords: fire detection, smoke detection, dataset, object detection, DFS - Dataset for Fire and Smoke detection, deep learning
Substantial natural environmental damage and economic losses are caused by fire. For this problem, automatic fire-smoke detection and identification are needed. Fire-smoke detection methods based on vision still suffer from significant challenges that fail to balance model…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Intelligence, Models
Region(s): International
Keywords: fire detection, smoke detection, YOLOv3, CNN - convolution neural network, attention mechanism, anchor-free mechanism, lightweight backbone
Numerous hectares of land are destroyed by wildfires every year, causing harm to the environment, the economy, and the ecology. More than fifty million acres have burned in several states as a result of recent forest fires in the Western United States and Australia. According to…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Intelligence
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: UAS - Unmanned Aircraft System, air quality, sensors, fire detection, optimization