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How does Dryad’s Silvanet wildfire detection system work?

Dryad’s Silvanet detects wildfires during their smoldering phase using highly precise gas

sensors that can detect hydrogen, carbon dioxide and other gasses to a parts-per-million (PPM) accuracy.

Simply put, if ocular systems such as satellites, drones and cameras can be said to ‘see’ fires, then Dryad’s Silvanet can be said to ‘smell’ them. Furthermore, our Silvanet sensors improve over time. Our engineers continue to train the sensors’ embedded artificial intelligence to become more accurate at detecting real fires. Our customers send us samples from various forest environments around the world so that our AI

becomes more familiar with different forest ‘smells’. This greatly minimizes the risk of false positive triggers.

When a fire is detected by the sensors and embedded AI, a prompt alert is swiftly transmitted through the mesh network to the cloud platform of the end-user. In addition to notifying about the fire, Silvanet also offers precise location information regarding the specific sensor involved. This enables firefighters to quickly reach the precise location, ensuring they can extinguish any emerging fire hazards before they escalate into uncontrollable and hazardous situations.

graph comparing wildfire response times

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