National Third prize winner

Firewave

Detection of tiny forest fires to prevent their spread

Pitch

Wildfires caused an annual loss of $400B in the US, air pollutants and biodiversity degradation.

We are developing a system to enable detection of extremely small fires. Our network of sensors and AI algorithms are designed to detect forest fires based on their unique sound signature. Once detected we notify our users with the exact fire location so they can reach and suppress it before the fire spreads.

Current solutions using satellite, cameras or gas sensors often lack the required sensitivity. While they help to reduce the damage, we will be able to prevent it.

85% of the wildfires were caused by human activities and started near settlements or infrastructure. Therefore, our early detection will be a game changer for communities and SMBs that are located in wildfire prone areas.

Quick facts

  • 2024 Participant
    Year of participation
  • Sustainable Land Use
    Theme
  • Israel
    Country

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