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wildfire detectionTechXplore
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86% Informative
USC computer science researchers have developed a new crowdsourcing system that slashes wildfire mapping time from hours to seconds using a network of low-cost mobile phones mounted on properties in high fire threat areas.
In computer simulations, the system, FireLoc , detected blazes igniting up to 3,000 feet away and mapped wilderness fires to within 180 feet of their origin.
The system prioritizes privacy by focusing on areas with minimal human activity and primarily captures images of vegetation and wilderness.
This is the first smart, low-cost crowdsourcing system specifically designed for wildfire detection.
Testing the system in real-world conditions would require community members to mount smartphones on their properties to act as wildfire sensors.
The team plans future participatory studies to understand how people would engage with the technology.
VR Score
90
Informative language
94
Neutral language
12
Article tone
semi-formal
Language
English
Language complexity
63
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Hate speech
not hateful
Attention-grabbing headline
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Known propaganda techniques
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Time-value
long-living
External references
5
Source diversity
5
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