Forest Fire Detection

Solar-powered sensors with embedded artificial intelligence that measure various gasses, temperature, humidity and air pressure.
Sensor nodes connect to Silvanet gateways using LoRa, the open standards long range radio network for IoT.
Silvanet Mesh Gateway
The Silvanet Wildfire Sensor is designed to
detect forest fires during the early stages
(even during the smoldering phase, within
the first 60 minutes) and to monitor the
microclimate, measuring temperature,
humidity and air pressure. The sensor
combines ultra-low-power Air Quality
sensing with a precise gas sensing mode. It
detects Hydrogen, Carbon Monoxide and
Carbon Dioxide and other gases at the ppm
level with built-in artificial intelligence in
order to reliably detect a fire and avoid false
positives. The sensor uses LoRaWAN
communications for wireless data
transmission and can run maintenance-free
for 10-15 years without the need of
batteries, avoiding the use of lithium and
other toxic materials.
Solar-powered sensor for ultra-early detection of wildfires
SILVANET WILDFIRE SENSOR
The Silvanet Wildfire Sensor is designed to
detect forest fires during the early stages
(even during the smoldering phase, within
the first 60 minutes) and to monitor the
microclimate, measuring temperature,
humidity and air pressure. The sensor
combines ultra-low-power Air Quality
sensing with a precise gas sensing mode. It
detects Hydrogen, Carbon Monoxide and
Carbon Dioxide and other gases at the ppm
level with built-in artificial intelligence in
order to reliably detect a fire and avoid false
positives. The sensor uses LoRaWAN
communications for wireless data
transmission and can run maintenance-free
for 10-15 years without the need of
batteries, avoiding the use of lithium and
other toxic materials.
Solar-powered sensor for ultra-early detection of wildfires
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