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.

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Silvanet Mesh Gateway
Solar-powered sensor for ultra-early detection of wildfires
0.00€
SILVANET WILDFIRE SENSOR
Solar-powered sensor for ultra-early detection of wildfires
0.00€

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
0.00€

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
0.00€