Vision-based fire detection · Digital twin

Early fire detection.
Informed response.

Detectium combines visible-light and thermal cameras with AI analysis and a digital twin — a 3D representation of your site — to detect potential fires, locate incidents and support timely decisions.

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Deployed in animal farms across Finland and Sweden, and on industrial sites in the GCC.

Fire visualization in an industrial environment in the Detectium digital twin.

Time to detection80% fasterTested against conventional detectors

Coverage per sensor60 m+Specified detection distance; coverage is site-dependent

On the sensorVLMScene understanding close to the source

In serviceFI · SE · GCCAgriculture and industrial deployments

Why visual detection

Cost-effective coverage, planned using a digital twin

Detectium uses 3D models to optimise sensor placement for the layout of each site. Comparing coverage before installation helps maximise fire protection while avoiding unnecessary hardware and installation costs.

Cost-effective deployment

Plan coverage around the site’s actual geometry

Storage racks, building structures and equipment affect what each sensor can observe. A digital twin allows different sensor positions to be assessed before committing to an installation.

Identify gaps in coverage. Assess sight lines and obstructions within the 3D model.
Use hardware efficiently. Compare sensor positions to improve coverage and limit unnecessary overlap.
Adapt to different sites. Plan around the layout of warehouses, agricultural buildings and industrial facilities.

Discuss a coverage plan →

80%

Faster detection, tested against conventional detectors

Performance depends on the test conditions and site environment.

Detectium coverage planning in a warehouse: green markers throughout the storage racks and an overview of the building’s 3D model. — 3D models support the assessment of sensor coverage at aisle and building level, helping identify an effective installation layout.

Sequence

From sensor data to incident analysis

The system combines three stages: visual and thermal sensing, AI-based detection, and incident visualisation within a digital twin. Simulation helps operators assess how a fire could develop.

01 / SENSE

Combined visual and thermal sensing

A compact, industrially robust sensor package combines a visible-light camera with a thermal camera, providing complementary visual and thermal information across changing lighting conditions.

PLUG-AND-PLAY · >60 M RANGE

02 / DETECT

AI detection and scene analysis

AI models analyse camera images for signs of fire and unusual activity. A vision-language model adds a written description of the scene, including apparent materials and fire development, for operator review.

DETECT · CLASSIFY · ON-DEVICE VLM

03 / SIMULATE

Incident localisation and simulation

Detected events are mapped to a 3D model of the site. Operators can assess the surroundings, simulate potential fire spread and review recorded incidents. Configured incident feeds support information sharing with response teams.

REAL-TIME FEED · PROPAGATION · REPLAY

On-device vision-language models

Scene analysis to support incident assessment

A vision-language model is an AI system that interprets images and describes them in text. Running on the sensor, it adds information about the apparent material, location and development of a fire to support operator assessment.

Point detector ALARM

Detection model FIRE · conf 0.97 · zone B-04 · T_max 185 °C

Detectium VLM Possible fire involving a pallet stack in aisle B-04. Visible flame near the rack uprights. Review the camera view and incident location.

Example scene report Illustrative data

Location: Warehouse B, aisle B-04, rack bay 12
Material: Pallet stack; material requires confirmation
Fire stage: Flaming combustion, early growth phase
Fire spread: Toward rack uprights; 2.1 m from bay 13
Occupancy: No people visible in this frame; occupancy unconfirmed
Severity: 3 / 5 — escalating

Operator review

Review the event and its location, then follow the site’s established emergency procedures. Scene descriptions support trained personnel in assessing the incident.

Illustrative output, not a live incident or a validated operational report. Fields and integrations depend on deployment configuration.

Latency

On-device processing

Processing images on the sensor reduces the need to send data to a remote server for analysis. Response time depends on the model, hardware and scene.

Privacy

Configurable data handling

Local processing can reduce the need to transmit video. Video access, storage and report sharing are defined as part of the deployment configuration.

Resilience

Offline detection capability

AI analysis on the sensor can continue without an internet connection. Remote notifications and incident feeds depend on the connectivity available at the site.

Solution

An integrated fire detection system

The Detectium sensor unit, a compact wall-mounted housing containing visible-light and thermal cameras

Sensor package

Visible-light and thermal cameras in a compact, industrially robust form factor, built for enhanced detection over long distances.

Specifications →

Detection overlay on a warehouse fire, labelling the flame and two people nearby with confidence scores

AI model

Computer vision for detection, plus an on-device vision-language model that turns a detection into a scene description for operator review.

How the model works →

Digital twin

Incident visualisation, fire-spread simulation and recorded event data to support risk assessment and response planning.

Explore the twin →

In the field

Agricultural and industrial applications

Large spaces, demanding conditions and valuable assets make agriculture and industrial facilities important settings for early detection. Detectium reports deployments in Finland, Sweden and the GCC.

A farm building with agricultural machinery outside, of the kind monitored by Detectium

Finland · Sweden

Agriculture and animal farms

Monitor barns and agricultural buildings with visual and thermal sensing. Sensor placement and configuration account for the site’s layout and operating conditions.