Wildfire Detection Infrastructure

Detect FireBeforeIt Spreads

The iGuard by Ignis IQ Technologies deploys solar-powered, AI-enabled IoT sensor networks that detect wildfire signatures in under 5 minutes — alerting agencies before any 911 call is placed. Preventive. Predictive. Always on.

<5min
Detection to Alert
<1%
False Positive Rate
10yr+
Deployment Lifespan
IP67
Weather Rated
55m 110m 165m FIRE SIG 78m · 94% conf SMOKE 42m · PM2.5↑ THERMAL+ SYSTEM STATUS ● MONITORING ACTIVE NODE MESH: 5/5 ONLINE LAST ALERT 00:03:42 AGO BEFORE 911 DISPATCH
Process

How Detection Works

A four-stage system that moves from environmental sensing to verified alert — before any emergency call is placed.

01

Continuous Sensing

Always-on monitoring of PM2.5/PM10 smoke particles, VOCs, CO₂, temperature, barometric pressure, and wind speed/direction. 24/7, no power grid required.

Solar Powered · IP67
02

AI Edge Detection

On-device Random Forest + LSTM ensemble model fuses 75 engineered features across all sensor modalities. Inference in under 200ms. No cloud dependency.

95–99% Precision
03

Thermal + LiDAR Verification

FLIR infrared camera detects temperature anomalies as small as 0.05°C. LiDAR confirms physical fire presence. Two-stage verification eliminates false alarms before any alert is issued.

<1% False Positive
04

Pre-911 Alert Dispatch

Geo-tagged alerts delivered via LoRa mesh and LTE to fire agency dashboards and operations centers — minutes before any 911 call is placed. Giving first responders a decisive head start.

LoRa · LTE · Mesh

Preventive & Predictive — Not Just Reactive

Ignis doesn't wait for a 911 call. Our system continuously builds environmental baselines — wind patterns, humidity trends, VOC accumulation — and issues predictive fire risk alerts hours before ignition, allowing agencies to pre-position resources, issue public warnings, and prevent fires from starting.

Deployment

How to Deploy

From site selection to live monitoring — iGuard is designed for fast, tool-minimal deployment in any terrain.

01

Site Selection

Identify high-risk zones using terrain maps and historical fire data. Optimal placement is 3–5 meters high on a pole or tree, with clear sightlines and unobstructed solar exposure.

2–6" Pole Mount
02

Hardware Setup

Mount the iGuard unit using the included hardware kit. Orient the solar panel south-facing. Connect sensor modules and seal the IP67 enclosure. No grid power or cabling required.

~30 Min Install
03

Network Activation

The iGuard automatically joins the LoRa mesh network and registers via LTE. Nodes self-discover neighboring units and establish redundant routing — no manual configuration needed.

Auto Mesh · LTE
04

Baseline Calibration

Over the first 24–72 hours, the AI model establishes local environmental baselines — temperature, humidity, VOC, and wind patterns. Adaptive thresholds are set automatically for your specific terrain.

24–72 Hr Learning
05

Live Monitoring

Access real-time sensor data, predictive risk scores, and geo-tagged alerts through the Ignis dashboard. Alerts are pushed directly to fire agency operations centers and designated contacts.

Dashboard · Push Alerts
06

Zero Maintenance

Firmware and AI model updates are delivered over-the-air automatically. Solar charging sustains continuous operation. Annual sensor calibration is recommended for Professional and Enterprise tiers.

OTA Updates · 10yr+ Life
Power Required
None
Fully solar-powered
Tools Required
Minimal
Standard mount hardware included
Connectivity
Auto
LoRa mesh + LTE self-configures
Time to Live
<1 Hour
From unbox to active monitoring

Start a Pilot

We are actively onboarding fire agencies, land managers, insurance companies, and infrastructure operators for early access pilot programs. Let's talk.

Venture Ignis IQ Technologies
Location Houston, Texas