What is the Silvanet Wildfire Sensor and how does it work?

The unique approach of the Silvanet Wildfire Sensor enables ultra-early wildfire detection, as early as the smoldering phase, while monitoring the forest microclimate for proactive risk management.
 

The sensor combines ultra-low-power Air Quality and environmental data monitoring with precise gas and particle sensing capabilities. With its built-in artificial intelligence, leveraging a fusion of data from its VOC, CO, and particle sensors, it accurately distinguishes the unique signature of a wildfire from other environmental factors to ensure very high-performance detection and eliminate false positives.
 

The sensor supports wireless data transmission with  LoRaWAN or using the built-in satellite connectivity and operates maintenance-free for 10–15 years without batteries, eliminating the need for lithium and other toxic or fire-prone materials.
 

Features

• Ultra-early wildfire detection
• Forest microclimate monitoring (temperature, humidity, air pressure, CO, VOCs, PM2.5)
• AI-based gas and air-quality sensing

Differentiators

• Built-in LoRaWAN and satellite connectivity and for global coverage
• Built-in solar-panel
• Using supercapacitors instead of lithium-ion batteries