solutions

Climate-targeted Fire Prevention Detection & Forecasting

Fire Forecasting
Analysis of weather station data and proprietary stations for fire hazard forecasting

LiDAR Mapping
Lidar-inertial systems for capturing landscape data, tree thickness, and density

Environmental Monitoring
Metadata recording modules (photos, videos, CO₂ level measurements)

AI Detection
Neural network algorithms for early detection of heat spots

FIRE DETECTION PROCESS

Step 01

HEAT SPOT DETECTED

Starting from 1 m²

Step 02

DRONE DETECTION

AI analysis in progress

Step 03

COORDINATES LOCKED

Instant location identification

Step 04

RAPID RESPONSE

Extinguishing drone en route

Step 05

THREAT NEUTRALIZED

Fire under control

GROUND STATION

System consists of a ground station, a detection drone, and an extinguishing drone, patrolling at altitudes of up to 1,000 m.

DETECTION DRONE

Detection of a hot spot: in 60-80 minutes (hot spot starting from 1 m²)

EXTINGUISHING DRONE

Extinguishing drone arrives at the hot spot at a speed of 100 km/h, delivering 1 ton of fire extinguishing agent in 10-30 minutes

SOLUTIONS PROVEN IN THE FAR EAST AND WESTERN SIBERIA

Monitoring of surveillance zones by a neural network algorithm with a mathematical effect of "cross-checking" two or more drone surveillance zones and instant analysis of heat points by the neural network of onboard microcomputers provides for the earliest, most reliable detection of the fire's coordinates, ensuring rapid detection and response.

Forest Digital Twin

3D landscape data is verified to accurately calculate the amount of tons of CO2 prevented from being emitted into the atmosphere.

3D database of territories (forest inventory) - by use of a lidar-mapping inertial system with a rangefinder and thermal imager on board a drone/helicopter detector.

A PROJECT AREA OF 100,000 SQUARE KILOMETERS CAN GENERATE AMOUNT OF CREDITS 2,5-3 MILLION TCO₂ P/A

Our focus

Amazon forests and other large forest areas

Ahead of the Curve

Rechnology ready to deploy worldwide