MULTIMODAL AI APPLIED TO FIRE SAFETY AND PREVENTION
Use Case: DRONE-INTEGRATED AI FOR FIRE RISK CLASSIFICATION
The solution aims to combine human sensory information, obtained on the ground, with meteorological databases to prevent fires, detect them in their early stages, apply procedures and distribute resources.
· Data type: Multimodal
· Input Data: Photos, thermal images, and weather data.
· Output Data: Fire hazard classification from very low to extreme.
Super powers given to the teams in charge by the Artificial Intelligence:
(ENAIA infographic: Multimodal AI applied to fire safety and prevention).
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