Safety & Compliance

Smoke & Fire Detection

Video analytics solution identifies smoke and fire at the earliest possible stage and triggers instant alarms to your computer, mobile, or via email. With proactive fire and smoke detection, you can reduce losses, respond faster, and protect lives and assets.

Real-time inference
On-premise or cloud
GDPR compliant
REST API & SDK
Fire Detection
ALERT
FIRE DETECTED
Confidence
97%
Detected
3s ago
Severity
HIGH
Smoke Detection
WARNING
SMOKE DETECTED
SMOKE DENSITY
Confidence
84%
Detected
12s ago
Density
65%
1
Fire Alert
1
Smoke Alert
16
Cameras Monitored
Process

How It Works

01

Camera Selection & Placement

Pick cameras with proper resolution, dynamic range, and field-of-view for the area to be protected, from rooflines to forest edges or factory bays.

02

Pre-Processing

Algorithms normalize frames by removing lens artifacts, compensating for weather or noise, and adjusting for lighting changes.

03

Candidate Detection

Rule-based methods or deep-learning models highlight regions showing smoke-like or flame-like behavior, with temporal checks to avoid false alarms from shadows, clouds, or steam.

04

Confidence Scoring & Filtering

Thresholds, ensemble models, and contextual rules (fog, controlled burns) reduce false positives and improve reliability.

05

Alerting & Evidence

When detection confidence passes a set limit, the system generates an alarm packet with camera ID, timestamp, geo-position, and visual evidence, sending it to operators or triggering automated responses.

Integrations

Works With Your Existing Stack

Deploy alongside your current cameras, hardware, and VMS - no forklift upgrade required.

IP Cameras

Any ONVIF / RTSP stream

Axis CommunicationsBosch Security SystemsDahua TechnologyHanwha VisionHikvisionVivotekUniview (UNV)MilesightRTSPONVIF

VMS Platforms

Native plugin & SDK support

VMS VezhaMilestoneGenetecNx WitnessAvigilon

Edge Hardware

GPU-accelerated inference

NVIDIA JetsonIntel NUCGPU ServerCloud
FAQ

Frequently Asked Questions

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