FireMonitor adds artificial intelligence to the cameras you already have and watches your area around the clock. When smoke appears, your team gets the image, the direction and the likely location of the fire, in the app and on WhatsApp.
A fire does not start with the flame or end when it goes out. FireMonitor covers all three phases: it shows the risk ahead of time, finds the smoke early so your team can act before the fire spreads, and keeps a record of everything for when someone asks.
Prevent
In your team’s handsRisk map per region
See preventionRespond
In your team’s handsAn alert within minutes, with the smoke image
See detectionProve
In your team’s handsFull history of every incident
See post-fireFor audits, insurers and legal defense. Every incident becomes a record with images, timestamps, weather and the team’s decisions. It shows that your operation saw it, warned and acted.
Too many alerts wear the team down, and when the fire is real nobody runs any more. That is why the platform prefers to discard early: each stage only passes on what the previous one could not explain. The result: over 98% of what reaches the operator is relevant for analysis.
What the model saw in this crop
Smoke has to beat every other explanation, then keep behaving like smoke in the frames that follow. Only then is anyone notified.
Computer vision sweeps the frame and sets apart what deserves a second look.
An AI model says what it is seeing: smoke, dust, fog, machinery.
The suspicion is re-examined with camera and region context.
Real smoke grows and drifts. Whatever does not behave like fire falls out here.
A second model confirms before anyone is called.
A camera over sugarcane, October 2026. FireMonitor raised the alert at 15:35, while the column was still thin on the horizon. The same camera, without moving, showed this 52 minutes later.
Where cameras cannot see, satellite hotspots cover the rest of the area and land in the same dashboard.
Nobody opens a dashboard at three in the morning. FireMonitor sends the alert on WhatsApp, direct or to the brigade group, and the conversation carries on there: whoever is in the field answers by text, audio or photo, and what they send becomes evidence on the alert.
The same number that sends the alert understands the reply. No option menus, no keywords.
FireMonitor Alert
🔥 New Fire Alert
Severity: 🟠 High
Confidence: 87%
Region: Field 12
Camera: South Tower
Likely location: -17.66412, -49.85590
Time: 10/22/2026 3:42 PM
Dark smoke detected on the horizon behind the woods.
Open alert: app.firemonitor.com.br/s/7Kq2xW
🔥 FireMonitor | Detection frame
Region: Field 12
Severity: 🟠 High
Confidence: 87%
Camera: South Tower
Time: 10/22/2026 3:42 PM
We are here. Fire in field 12, and the wind is pushing it toward the woods.
Your voice note and message are attached to the alert as evidence, and the control center has been notified. Once the fire is under control, just tell me and I will mark the alert as resolved.
After confirmation, your team needs to understand direction, intensity and exposure. FireMonitor brings the critical variables into one operational timeline.
Example scenario computed with the same model as the app (wind, vegetation fuel and slope), over a monitored sugarcane field. Satellite image: Esri.
FireMonitor combines weather, vegetation and history for every region. Risk is recalculated every 10 minutes with current weather, and vegetation fuel comes from the latest cloud-free satellite image.
20/10/2026 · Sentinel-2
Recalculated every 10 min
Fire-favorable conditions
45/100Low
Dense vegetation, moderate moistureNDVI 0.57 · NDMI 0.12
True color, as the satellite sees the area.
Vegetation moisture. Red and orange: dry or water-stressed; blue: moist vegetation. This is the fuel condition.
Vegetation vigor. Orange: sparse vegetation or straw; green: dense, living vegetation.
A real field monitored by FireMonitor, with Sentinel-2 imagery from June to October 2026 and the risk panel as it stood on October 22. Pick a layer and a date.
The history does not end when the fire is controlled. The platform organises evidence, vegetation indices and reports to support management and audit.
On the wall
Presentation mode takes the whole screen and stays on. Cameras rotate on their own, the map shows live coverage, and when a detection comes in the screen changes state and the alarm sounds. Built for the operations room, the gate house or the manager’s office.
In the team’s pocket
Whoever decides is rarely sitting at a computer. The app carries the same detection, with the photo and the box the AI drew, to the phone of whoever will respond.
Practical guides, company news and transparent comparisons to help your team choose and operate better.
How cameras, satellites, weather and AI connect to protect rural operations.
Read article →GUIDEWhat happens between a camera frame and a confirmed alert.
Read guide →PRODUCTMap, alerts, cameras, regions, prevention and reports.
View tutorial →COMPARISONSCompare FireMonitor, umgrauemeio, Pano AI, Dryad and OroraTech by approach.
Compare solutions →Every minute between ignition and the first alert is burned area. The platform exists to shorten that gap. Twenty-four hours a day, including the small hours when nobody is watching.
Not every operation starts with a trial. Tell us the size of the area, how many cameras exist today and what needs covering. We reply with a rollout plan and a proposal.
For 30 days, validate the detection, the environmental data, the alerts and the operational follow-up on a real area.
