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Intelligent forest protection

PREFIREWILDFIRE DETECTION

Forest protection starts with the first signals. PREFIRE connects gas and particle sensors, airflow modelling and automated drones to help emergency teams locate and assess potential fires.

Discuss PREFIREExplore the system
BEFORE IT SPREADS.SENSORS. AI. AUTOMATED DRONES.
Concept illustration of a drone surveying smoke above a forest, with a highlighted fire detection area
EARLY SIGNALS. A CLEARER PICTURE.
01 / A CONNECTED SYSTEMFROM FOREST FLOOR TO CONTROL CENTRE

SENSE. LOCATE.
VERIFY. INFORM.

Two connected components: sensors on the ground and drones ready to investigate from a nearby dock.

  1. 01

    Sense

    Fixed and mobile sensors monitor combustion-related gas and particle signals in the forest.

  2. 02

    Locate

    Sensor readings and simulated wind fields help narrow down the likely source.

  3. 03

    Verify

    A sensor-triggered mission or a scheduled patrol provides RGB and thermal images for verification.

  4. 04

    Inform

    Live views, recorded evidence and alerts support the incident team’s assessment.

02 / ON THE FOREST FLOORFIXED SENSORS. MOBILE LANCES.

CLOSE TO
THE FIRST SIGNAL.

Observe changes where they begin. Combine permanent monitoring with mobile sensors for critical areas and post-fire ember monitoring.

Carbon-fibre forest sensor with six mesh-covered openings and an antenna
FOREST SENSORPRODUCT PHOTOGRAPH
Gas & particle sensing

The sensor concept combines gas signatures, including volatile organic compounds (VOCs), with fine-particle monitoring to recognise changes associated with combustion.

Mobile ember monitoring

Sensor lances can be placed around critical areas and used to monitor residual embers after a fire has been extinguished.

LoRaWAN connectivity

Low-power wireless communication connects distributed sensors with the monitoring system, including in remote forest areas.

Energy & placement

Solar power and battery storage support independent field operation. Sensor placement and power supply are planned around the terrain and operating conditions.

Mobile fire sensor lance on the forest floor beside a small fire and smoke
MOBILE FIRE SENSOR LANCE
03 / CFD-INFORMED LOCALISATIONREAD THE WIND. UNDERSTAND THE SIGNAL.

FOLLOW THE AIR.
TRACE THE SOURCE.

A sensor detects what reaches it. Airflow modelling helps trace those signals back to their possible source.

Conceptual blue airflow paths across forested terrain linking a smoke source with sensor locations
AIRFLOW & SENSOR PLANNING

Make the terrain part of the system.

Computational fluid dynamics (CFD) models wind through the landscape. Combining these wind fields with sensor readings supports inverse dispersion analysis: tracing a measured signal towards its likely source.

Wind & terrain
Model how air moves through the monitored forest.
Sensor placement
Compare positions to support effective coverage with an efficient sensor layout.
Source estimate
Use the model to guide the area investigated by the drone.
04 / AUTOMATED VERIFICATIONFROM ANOMALY TO SITUATIONAL AWARENESS

A SIGNAL BELOW.
A VIEW FROM ABOVE.

Red and yellow drone above a NeuralDrones-branded docking station outdoors
DRONE-IN-A-BOXPRODUCT PHOTOGRAPH

Ready to investigate from the dock.

Docked drones can start a sensor-triggered mission or fly predefined observation routes. Adaptive analysis evaluates the surroundings during the flight and helps find a useful viewpoint over the indicated area.

  1. 01

    Compare RGB & thermal

    Visual and thermal images help assess smoke, flames and unusual temperature patterns together.

  2. 02

    Adapt the observation

    The mission can adjust its path and viewpoint as new image information becomes available.

  3. 03

    Share the evidence

    Live imagery, archived recordings and alerts bring the findings to the control centre.

Aerial colour image of smoke in a clearing with a red detection box
RGBDETECTION EXAMPLE
Greyscale aerial view with a bright area marked by a red detection box
THERMALDETECTION EXAMPLE

These individual detection examples show the model output for each image.

Mission planning takes account of the terrain, weather, communications and the applicable operating approvals.

05 / FLIGHTPRIVACY+YOUR DEPLOYMENT. YOUR OPERATION.

ONE PICTURE.
YOUR CONTROL.

Integrate sensor readings and aerial reconnaissance into your team’s existing workflows. flightprivacy+ connects drone operations, live views and incident workflows.

NeuralDrones control interface showing a site map, sensor markers, live drone imagery and a fire alert
OPERATIONS OVERVIEWCONTROL INTERFACE · EXAMPLE VIEW
01

Choose where it runs

Operate locally, in your preferred data centre or in your own cloud. A local setup can support operation without an external cloud connection.

02

Connect the incident team

Integrate imagery and alerts with incident management systems and agreed notification channels. Review routes already flown and coordinate multiple drones.

03

Plan for the field

Optional local 4G/5G infrastructure and relay concepts can support communications. Configuration, training and operational preparation are defined for the deployment.

06 / LET’S TALKPREFIRE

START WITH YOUR FOREST

LET’S PROTECT
YOUR FOREST.

Tell us about your terrain, access, communications and existing response processes. Together, we can define sensor placement, drone coverage and the operational workflow.

Discuss PREFIREPlan the next step with Neural Drones