Silvanet

Problem:
Dryad’s Silvanet provides a system for ultra-early detection of wildfires, dramatically reducing reaction time and enabling firefighters to extinguish a fire before it spreads out of control. The wireless sensors are solar powered, measuring temperature, humidity and air pressure as well as scanning for wildfires with sensitive gas sensors which can detect wildfires even during the smoldering phase. With dramatically reduced reaction time for wildfires, Dryad will help to protect the world’s largest carbon sink, home for 3/4 of all biodiversity on land and help to address deforestation and emissions from forest fires which contribute up to 20% of the global CO2 emissions. Dryad will also mitigate the economic damage caused by wildfires, estimated to be at $140bn per year, tapping into a substantial market potential with insurances, forest owners and governments.

Dryad has fully industrialized Silvanet and has shipped more than 30,000 sensors to about 100 deployment sites across Europe, US and Asia.

Solution:
Silvanet is a large-scale, distributed sensor network for ultra-early wildfire detection. The solar-powered gas sensors use embedded AI to detect wildfires within minutes.

Operational Environment:

Rural
Low-Bandwidth / Intermittent Connectivity
Inland

Licensing or Cost Structure:

Commercial. Purchase hardware and annual service fee for operating the platform.

Ethical and Governance Considerations:

The Silvanet AI system does not process user data, but only processes environmental data obtained from the sensor network and as such does not have an ethics issue. The network is inherently secure with all data being sent of the wireless network encrypted.