MULTIMODAL AI APPLIED TO FIRE SAFETY AND PREVENTION

 

Use Case: DRONE-INTEGRATED AI FOR FIRE RISK CLASSIFICATION

CHALLENGE:

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:

PRECOGNITION

HYPERSTESIA

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(ENAIA infographic: Multimodal AI applied to fire safety and prevention).

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