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Fire and Smoke Detection: Spot Fires in Photos Early with AI

Upload a photo: the AI says whether there is an uncontrolled fire or smoke, how dangerous it is and what is burning (a building, a vehicle, vegetation), and marks the source on the photo. Fire that is meant to be there, such as candles, fireplaces and barbecues, does not count.

Photo

Example photos

Example photos: Juliancolton (public domain) and CSIRO, CC BY 3.0 (Wikimedia Commons)

Result

The result will appear here.

Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.

Labels

The model scores the probability of each damage type below for every photo. You can extend the damage types for your processes or use it with labels made for you.

Open flames
Visible flames in the photo.
Heavy smoke
Thick or dark smoke.
Building fire
A building, room or structure is on fire.
Vehicle fire
A vehicle is on fire.
Vegetation fire
Grass, bushes or trees are on fire.
People at risk
People are close to the fire or smoke.

Where is it used?

Examples of how teams use this model in their daily work.

  • 01

    Camera and site photo monitoring

    Scan warehouse, construction site and car park photos to spot fire or smoke early and alert the right team at once.

  • 02

    Insurance claims

    Sort photos in fire damage claims by danger level and put urgent files first.

  • 03

    Social and news monitoring

    Catch fire images in photos shared about your branches or sites and start crisis communication early.

  • 04

    Workplace safety audits

    Check kitchen, production floor and electrical panel photos for dangerous flames and smoke.

Use this model in your own system

Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].

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Frequently asked questions

Is this tool free?
Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
Which languages does it support?
It understands multilingual text, Turkish and English first; results are shown in your interface language.
Is my text stored?
No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
Can I analyse in bulk?
The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.

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Want to analyse thousands of reviews automatically?

BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.

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