Field-Ready · Edge AI · Wildfire Detection

PATROLIoT

Smart Fire Detection at the Edge

On-device AI that identifies smoke and flames rapidly
no cloud delays, no missed moments, no excuses.

<1min Detection Time
24/7 Continuous Monitoring
Edge Zero Cloud Dependency
PATROLIoT · Live Feed
STATUS ● MONITORING
SMOKE LEVEL 0.03 ppm
TEMP 22.4 °C
CAMERA ● ACTIVE
AI ENGINE ● RUNNING
LAST SCAN --:--:--
ALERT THRESHOLD 0.8 ppm
Raspberry Pi · Edge Node
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What is PATROLIoT?

PATROLIoT is an innovative wildfire detection solution powered by advanced Edge AI technology. Developed by Catalink Limited, it was born from research conducted within the EU-funded SILVANUS project — a €24M Horizon 2020 initiative tackling wildfire management across Europe and beyond.

Unlike traditional systems that rely on manual surveillance or cloud-based processing, PATROLIoT deploys embedded machine learning directly on the device. The result: fire threats are identified in real time, at the source, with zero dependency on internet connectivity.

Built on a compact, field-ready hardware platform, PATROLIoT is designed for remote deployment in forests, rural areas, and critical infrastructure — anywhere that needs eyes that never sleep.

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Problem

Traditional fire monitoring introduces dangerous delays. By the time cloud systems process data and alert responders, fires have already spread.

Solution

PATROLIoT processes everything on-device with embedded AI. Detection, analysis, and alerting happen in under a minute — right at the edge.

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Impact

Earlier detection means faster response, smaller fires, fewer casualties, and protected communities, forests, and infrastructure.

From Detection to Action

Four integrated stages — from continuous sensing to coordinated emergency response.

01

Continuous Sensing

Built-in cameras and environmental sensors monitor visual and atmospheric data around the clock. Multiple inputs — including visual smoke patterns, temperature readings, and light changes — are captured simultaneously, providing a comprehensive overview of the situation.

02

On-Device AI Analysis

Visual data is processed locally using embedded machine learning models. No cloud round-trips. The AI engine classifies smoke and flame signatures with high accuracy, triggering a risk score in seconds.

03

Instant Alert Dispatch

When a threat is confirmed, PATROLIoT immediately dispatches alerts to the monitoring dashboard and connected emergency systems. Firefighting teams are notified before the fire has had time to spread.

04

Dashboard & Response

An intuitive real-time dashboard gives operators a clear visual overview of all active nodes, sensor readings, and alerts. Actionable insights help decision-makers coordinate the fastest possible response.

Built for the Field

Every design decision in PATROLIoT was driven by one question: what do first responders actually need?

Rapid Detection

Edge AI processes visual data locally, delivering detection results within seconds — far faster than any cloud-dependent alternative. In wildfire scenarios, seconds save hectares.

Edge Computing
📡

Offline Detection

Operates fully in remote areas with little or no internet connectivity. All AI inference runs on-device, independently.

Resilient
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Multi-Modal Sensing

Combines visual camera feeds with environmental sensor data to provide a more comprehensive view of the monitored environment.

Accuracy
🖥️

Real-Time Dashboard

A clear, operator-friendly interface delivers situational awareness, alert history, and system status at a glance.

Visualization
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System Integration

Enables integration with existing firefighting protocols, emergency dispatch systems, and infrastructure.

Interoperable
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Compact & Field-Ready Hardware

PATROLIoT is lightweight, low-power, and designed for long-term unattended deployment in outdoor environments — forests, hills, industrial sites, and more.

Hardware
🔥 Early smoke detection ⚡ Dramatically reduced response time 🌲 Protect forests & communities ⚙️ Edge Processing 🤖 AI-powered, human-guided 🏗️ Scalable multi-node deployments 🔥 Early smoke detection ⚡ Dramatically reduced response time 🌲 Protect forests & communities ⚙️ Edge Processing 🤖 AI-powered, human-guided 🏗️ Scalable multi-node deployments

See PATROLIoT at Work

Watch PATROLIoT in action — real field footage showing the device, the detection system, and the platform working together to catch wildfires before they spread.

PATROLIoT · Official Demo Video By Catalink Limited
EU SILVANUS Project

PATROLIoT — The Device in Action

Created by the Catalink team, this video showcases PATROLIoT's real-world capabilities — from the edge AI hardware setup to live smoke and flame detection, demonstrating the speed and precision that make it a critical tool for wildfire response.

Live smoke & flame detection demo
Edge AI hardware in the field
Real-time dashboard walkthrough
Produced by Catalink Limited
Learn More at catalink.eu →

The Stack Behind the Shield

PATROLIoT combines proven embedded hardware with state-of-the-art machine learning — packaged into a deployable unit that just works.

EDGE NODE Embedded Linux
📷 Camera Module
🌡️ Env. Sensors
🧠 AI Engine
📡 Alert Uplink
📊 Dashboard & Emergency Systems
Hardware Platform Embedded Linux-Based Platform
AI Inference On-device Machine Learning
Detection Type Visual Smoke & Flame Recognition
Sensor Input Camera + Environmental Sensors
Connectivity Works offline; alert uplink optional
Interface Real-time Web Dashboard
Deployment Remote / Low-power / Long-term
European Union

Part of SILVANUS

Horizon 2020 · Green Deal · Grant #101037247

PATROLIoT emerged from the SILVANUS project — a landmark €24 million EU-funded initiative focused on building an integrated technological platform for wildfire management. With 49 partners spanning Europe, Brazil, Indonesia, and Australia, SILVANUS brought together environmental scientists, civil protection authorities, and technology innovators to create the next generation of forest fire prevention tools.

Catalink's contribution — PATROLIoT — represented the edge AI fire detection component, enabling real-time detection without reliance on centralised cloud infrastructure.

Explore SILVANUS Project →
€24M Project Budget
49 Partner Organisations
12 Pilot Countries
42 Months of Research
EU · Brazil · Indonesia · Australia · and more

Ready to Deploy PATROLIoT?

Whether you're a fire management authority, a research institution, or a private landowner — let's talk about how PATROLIoT can protect what matters.

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Catalink Limited
Charitinis Sakkada 5, 1040
Nicosia, Cyprus

Or email us directly at [email protected]