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Clemson researchers created an AI that estimates wildfire temperatures from regular photos, helping firefighters spot hotspots faster and safer.
Clemson University researchers have developed an AI tool that estimates wildfire hotspot temperatures using standard color photos, trained on data from controlled burns.
The system, designed to help firefighters identify dangerous heat zones without thermal cameras, could improve safety and response times during wildfires, particularly in the Carolinas.
The technology analyzes visual patterns in everyday images to provide real-time temperature estimates, aiding first responders in assessing fire behavior.
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Los investigadores de Clemson crearon una IA que estima las temperaturas de los incendios forestales a partir de fotos normales, ayudando a los bomberos a detectar los puntos calientes de forma más rápida y segura.