THERMAL AI FOR STRUCTURAL FIREFIGHTING

See through smoke.
Save more lives.

PyroSight is a helmet-mounted vision system that fuses thermal imaging, computer vision, and on-device AI — locating people, exits, and hazards when visibility drops to zero.

Sensor-to-display latency
39 ms
Sensor-to-display latency
Continuous edge runtime
12 hrs
Continuous edge runtime
HELMET FEED — LIVE
THERMAL FUSION
HUMAN DETECTED
7.3 M · PRIORITY HIGH

EXIT A — 14 M

In-helmet display during a primary search — simulated feed.

Live Helmet Feed

What the Firefighter Actually Sees

A live reconstruction of the in-helmet display during a primary search: thermal fusion, victim detection, hazard prediction and AR navigation — with command receiving every frame. Inject a flashover or collapse and watch the system respond.

HELMET FEED — FF-014 RIVERA · 400 HARBOR AVE · FLOOR 2
HDG 042 NET+00:00

HELMET FEED STANDBY — SCENARIO TS-07

You are FF-014, entering a residential structure with near-zero visibility. PyroSight comes online seconds after entry.

FIREFIGHTER STATUS

FF-014 RIVERA

HEART RATE

92 BPM

BODY TEMP37.1°C+
SCBA AIR82% · 25 MIN
HELMET BATTERY91%
RADIO SIGNALSTRONG · CH-2
DIST FROM EXIT14 M
FLOOR / ORIENTATION2 / 042 NE
FATIGUE ESTIMATELOW

ENVIRONMENT

AMBIENT TEMP74°C+
HEAT GRADIENT+2.4°C/MIN
SMOKE DENSITY62%+
VISIBILITY0.8 M
CO118 PPM
CO₂0.9%
O₂19.4%
AIR QUALITYIDLH — SCBA REQUIRED

PYROSIGHT AI — ANALYSIS FEED

Model idle — awaiting helmet activation

ACTIVE HAZARDS — 0

No active hazards — continuous monitoring

COMMAND UPLINK

STANDBY
FLOOR 2 — LIVE

E14-A RIVERAINTERIOR — SEARCH

E14-B CHENSTAGED — RIT

TRUCK 7VENTILATION — ROOF

SEARCH COVERAGE18%

AI Detection Showcase

Ten Detection Classes. Zero Guesswork.

PyroSight's vision models classify everything that matters in a burning structure — people, egress, hazards — each with confidence, distance and risk level.

HUMAN 97.8%
DIST 4.2m
PRIORITY

Adult heat signature, crouched, low mobility — rescue priority one.

CONF
97.8%

Live Command Center

Every Firefighter. Every Hazard. One Screen.

Incident command sees the full picture — live positions, heat mapping, fire spread prediction, rescue progress and team vitals — streamed from every helmet on scene.

INCIDENT #2261 — STRUCTURE FIRE — 4-STOREY RESIDENTIAL

MISSION 12:34 COMMS ENCRYPTED
SPREAD VECTORCIV-1CIV-2EXIT WEXIT S
FLOOR 2 — LIVE TRACKING

68%

RESCUE
PROGRESS

FIRE SPREAD FORECAST

34%

TEAM STATUS — 4 UNITS DEPLOYED

FF-01SECTOR B
74%
FF-02STAIR N
81%
FF-03SECTOR C
58%
FF-04STAGING
96%
THERMALRGBDEPTHIMUGAS

CRITFlashover risk rising in sector B-2

INFOFF-02 entered north stairwell — floor 2

WARNO₂ below 60% — FF-03 rotation advised

INFOCivilian 2 handed to EMS triage

Capabilities

An AI Crew Member on Every Helmet

Sixteen systems working together in real time — hover any card to see how each one earns its place on the fireground.

Thermal Imaging AI

Sees heat, not light.

Radiometric thermal streams are denoised and enhanced on-device, resolving human signatures through zero-visibility smoke.

Edge AI Processing

No cloud. No lag.

A helmet-mounted accelerator runs every model locally — the system works deep inside concrete structures with zero connectivity.

Computer Vision

Purpose-built fire models.

Detection networks trained on thousands of live-burn scenarios classify what generic vision models have never seen.

Human Detection

Finds people in smoke.

Multi-frame fusion catches partial, occluded and prone body signatures — including children and unconscious victims.

Intelligent Navigation

Safest path, always.

A live path planner weighs heat, structure and debris to compute egress routes, re-planning multiple times per second.

Exit Recognition

Every way out, mapped.

Doors, windows and stairwells are catalogued on entry and continuously verified as conditions change.

Heat Mapping

Temperature everywhere.

Dense radiometric heat maps overlay the environment, flagging surfaces beyond PPE tolerance before you touch them.

Structural Risk Analysis

Predicts collapse.

Deflection, spalling and load-path cues are scored per structural element with live collapse probability estimates.

Multi-Sensor Fusion

Thermal + RGB + depth.

A fusion engine reconciles all sensor streams into a single coherent scene model — robust when any one sensor fails.

Real-Time Hazard Detection

Gas, arc, backdraft.

Continuous classification of combustion signatures, gas plumes and electrical arcing with instant crew-wide alerts.

Low-Latency Processing

Under 40ms glass-to-glass.

The full perception pipeline completes in under 40 milliseconds — overlays move with your head, not behind it.

Incident Recording

Every second, archived.

Synchronized video, telemetry and AI decisions are stored for training, review and post-incident investigation.

Voice Assistance

Hands stay free.

A noise-hardened voice interface reads out hazards and takes commands through SCBA masks and 110dB fireground noise.

Team Coordination

Shared situational map.

Every helmet contributes to one live map — teammates, victims and hazards visible to the whole crew.

Command Dashboard

Incident command view.

Chiefs monitor positions, vitals and fire behavior in real time, with AI-suggested tactical adjustments.

Rescue Analytics

Learn from every fire.

Post-incident analytics quantify search coverage, exposure time and decision latency to sharpen the next response.

Technology Architecture

From Photon to Decision

Watch data move through the stack — every stage lives on the fireground, not in a datacenter.

Helmet Cameras

Radiometric thermal + low-light RGB + depth, hardened to NFPA 1971

01

Edge AI Computer

40 TOPS accelerator riding on the helmet shell — fully offline

02

Computer Vision Models

Detection, segmentation and tracking tuned for fireground scenes

03

Thermal Analysis

Per-pixel temperature, hotspot tracking, flashover precursors

04

Navigation Engine

Hazard-weighted path planning, re-solved continuously

05

Augmented Reality Display

In-visor overlays rendered at 60fps with sub-frame latency

06

Incident Dashboard

Mesh-networked telemetry aggregated across the crew

07

Emergency Command Center

Full tactical picture for incident command and dispatch

08

Real-Time AI Pipeline

39 Milliseconds, Glass to Glass

One frame's journey through the perception stack — each stage lights up as the packet passes through.

Thermal Camera

2.1ms

RGB Camera

1.8ms

Sensor Fusion

3.4ms

AI Detection

11.2ms

Hazard Classification

4.7ms

Navigation Engine

6.3ms

Helmet Display

0.9ms

Command Dashboard

8.6ms

FRAME N°48210CUMULATIVE 2.1ms / 39.0ms BUDGET

Product Showcase

The PyroSight Smart Helmet

Select a subsystem to open the hardware underneath — twelve of them packed into an NFPA-rated shell.

Thermal Camera

SUBSYSTEM 01

Radiometric LWIR sensor that resolves human heat signatures through zero-visibility smoke.

640×512 @ 60Hz · <40mK NETD

Technical Specifications

Built Like Equipment, Not Electronics

Every subsystem is specified against fireground reality — heat, water, impact, gloves, and zero connectivity.

SENSING

Thermal imager
640 × 512 radiometric LWIR, 60 Hz, <40 mK NETD
Optical camera
4K HDR, f/1.4, starlight-rated low-light pipeline
Depth sensing
Time-of-flight, 0.2–12 m range, ±2 cm
Environmental
6-point shell thermocouple array, 0–600 °C

COMPUTE & DISPLAY

Edge AI module
40 TOPS accelerator, 15 W, fully offline inference
Perception latency
39 ms glass-to-glass, 60 fps overlay rendering
AR display
Waveguide optic, 4,000 nits, full color, SCBA-compatible
Storage
512 GB AES-256 encrypted incident recorder

PLATFORM

Weight
1.9 kg complete, balanced to NFPA helmet standard
Runtime
12 h continuous; hot-swap battery in under 5 s
Connectivity
Self-healing crew mesh + LTE/5G backhaul fallback
Environment
IP67; shell rated to 260 °C / 15 min flashover exposure

Standards & Compliance

Designed and tested to meet:

  • NFPA 1971 Structural firefighting protective ensemble — shell platform
  • NFPA 1802 Two-way portable RF voice communications for emergency services
  • MIL-STD-810H Shock, vibration, thermal cycling and ingress test methods
  • IP67 Dust-tight; submersion to 1 m for 30 minutes
  • AES-256 End-to-end encryption for all telemetry, video and mesh traffic
  • FCC Part 15/90 Radio device authorization for mesh and backhaul radios

Certification programs in progress with accredited third-party labs. Current status matrix available to pilot departments.

Full specification sheet

PDF · rev 2.4 · includes integration guide

Mission Timeline

Four Minutes That Used to Take Ten

A reconstructed rescue, second by second — exactly as PyroSight logged it.

Firefighter Enters Building

T+00:00

Engine 14 makes entry through the north stairwell. PyroSight begins mapping on the first step.

Smoke Fills Hallway

T+00:42

Visibility collapses to under half a metre in forty seconds. Human vision is now useless.

AI Activates

T+00:44

Thermal and RGB streams fuse into a live AR scene. The hallway reappears — as data.

Victim Detected

T+01:31

A crouched heat signature resolves behind a bedroom door. Confidence: 96.4%.

Danger Zone Detected

T+01:58

Flashover precursors flagged in the kitchen corridor. The zone is derated for routing.

Navigation Path Generated

T+02:04

Safest route computed around the heat zone in 380 milliseconds and painted on the visor.

Victim Rescued

T+03:12

Contact made, vitals stable. The carry-out route locks to every HUD on the crew.

Safe Exit Located

T+03:40

West stairwell verified clear, painted green across the shared map.

Mission Complete

T+04:12

All units out. Four minutes twelve seconds, door to door. Every decision logged.

Beyond the Fireground

Anywhere Vision Fails, PyroSight Works

The perception stack generalizes to any environment where seeing means surviving.

Industrial Rescue

Refinery and plant incidents where smoke, steam and toxic atmospheres overlap.

Mining

Sub-surface navigation and personnel location when dust kills every headlamp.

Military

Obscurant-penetrating vision for breach teams and combat rescue.

Search & Rescue

Wide-area thermal sweeps that find the missing in fog, night and debris.

Chemical Plants

Plume classification and safe-corridor routing during hazmat releases.

Oil & Gas

Flare, leak and hot-surface awareness across rigs and processing decks.

Warehouses

High-rack fire navigation where collapsing inventory rewrites the map.

Tunnel Rescue

Long-bore incidents with zero GPS — the mesh map is the only map.

Earthquake Response

Void-space victim detection inside pancaked structures.

Disaster Relief

Shared operating picture for multi-agency response in degraded zones.

Space Exploration

Helmet-native hazard perception for habitats where evacuation isn't an option.

Nuclear Facilities

Remote-monitored entries with dose-aware routing and full audit trails.

Autonomous Rescue Robotics

The same perception stack, mounted on machines that go where humans can't.

FAQ

What Departments Ask Us First

No. Every model — detection, thermal analysis, navigation — runs on the helmet's edge AI module. Connectivity only adds capability: when the crew mesh is up, helmets share one map and stream to command. When it isn't, each helmet is fully autonomous.

Get Started

Request a Pilot Program

We deploy with a limited number of departments each quarter. Tell us about your operation and our deployment team will reply within two business days.

EVERY PILOT INCLUDES

  • Six-week supervised deployment — four helmets, no cost
  • On-site fit, training and live-burn support from our field engineers
  • Full command dashboard access for your incident commanders
  • Joint data review and validation report with your command staff

No procurement commitment. We'll never share your information.