Fire and Smoke Detection

Industrial fires devastate assets, endanger people, and leave lasting environmental scars. Yet point‑sensors miss smoke in vast or outdoor spaces, and thermal cameras react only after flames ignite. VisionAery’s AI‑powered Fire & Smoke Detection continuously scans every frame, capturing the faintest wisp of smoke—even in the hardest‑to‑monitor areas—so you can act before a spark becomes a shutdown.

Compatible Platforms

Jetson Orin

Great for large scale deployments that utilize existing cameras. The NVIDIA platform Gives you flexible options while providing enough power to run full scale models with a high inference rate.

Scalability

Orin Nano - 1-2 streams
Orin NX - 4-6 streams
Orin AGX - 8-12 streams
Chips are stackable within servers for increased streams per server.

Pros

Camera Agnostic
Ruggedized
Multiple Streams per Server
Easier for Custom Deployment Needs

Cons

Complex Set Up
Adds to Hardware Cost
Additional Hardware Maintenance
Temp Ranges do not meet all conditions
Power Requirements

Smart Cameras

Perfect for keeping hardware cost at a minimum and integrating a known technology into your VMS.

Scalability

1 Application per Camera
Easy Management Through Camera UI

Pros

App Runs on the Camera
Easy Integration into VMS
Data is Secured Through Camera Hardening
Easy to Set Up and Deploy

Cons

Limited Compute Power
Less Customizability
Not Ideal for Brown Field Deployments

Industry Use Cases

Waste Management

Tipping floors
Waste bunkers
Conveyor belts
Shredders / crushers
Baling presses
Screening drums
Battery drop‑off bins
Dust‑collector bags
RDF storage piles
Loading docks

Manufacturing

Paint / spray booths
Boiler rooms
Dust collectors
Solvent storage
Furnaces / kilns
Hydraulic presses
CNC coolant sumps
Mixing reactors
Battery lines
Film winders

Warehousing

High‑bay aisles
Pallet staging zones
Fork‑lift charge bays
Shipping docks
Mezzanine conveyors
Refrigerated racks
AS/RS crane bays
Sprinkler voids
Cardboard balers
Roof HVAC units

Oil and Gas

Tank rim‑seal decks
Compressor houses
Flare KO pits
Pump skids
Separator outlets
Loading racks
Heater‑treater tubes
Turbine enclosures
Pipe‑rack trays
Produced‑water pits

white smoke starting inside of a recycling plant with the VisionAery fire and smoke detect

Detection Model

Track smoke size and smoke color.
Track Flame size and flame color
Filter alarms based on the color of the smoke or the duration of the event.
Works well with Thermal Detection solutions to add accuracy and reliability.

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Flir Joint Solution

100% Edge Based.
Custom Built Vision Language Model for Fire and Smoke Detection.
Verify All Alarms with More In Depth Analysis Before Triggering Final Alarm .

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VisionAery Alarm
Verification System

NFPA 72 Compliance

Complies with NFPA 72 Performance based Design Requirements.
Connects directly into FACP via relay contact for easy integration into fire systems.
More accurate then traditional point detection solutions.

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Data and Alarms

Send Telemetry Data via MQTT or Modbus TCP.
Send Alarm Topics via MQTT or Modbus TCP.
Easily Integrate Data into Existing Systems such as SCADA or Video Management Software.

Sensors

Use Sensors such as rain sensors to mitigate false positives from environmental conditions.
Integrate other sensor data to get more rich and characteristic data from system.
Create Conditional Alarms that need sensor input before triggering.

Camera and VMS

Unless deploying on camera, all you need is an RTSP stream from any camera of your choice.
The system generates an RTSP stream for easy viewing of the system into your VMS.
Use Pre Built VMS Integrations for most major VMS providers.

System Architecture

All VisionAery Solutions are Uncompromisingly edge based so that they remain easy to integrate into your existing network and infrastructure as well as maintaining scalability and reduced operational cost to maintain the system.

Supporting Software

VisionAery Downloads all of the below software to help make your deployment and management of the system easier. This is at no additional cost to you.