SkyGuardian

Passive RF Drone Detection for Critical Infrastructure

Real-time detection and classification of unauthorized low-altitude drones at airports, borders, and energy facilities—without active radar emissions.

How It Works

Proven Capability

MVP complete. Tested in real RF environments. Pilot discussions active with Estonian critical infrastructure operators.

MVP Operational

Functional hardware and software complete. Ready for deployment.

Real-World Validation

Tested in RF environments with controlled drone scenarios.

Active Pilot Discussions

In discussion with Tallinn Airport and Estonian Border Guard for pilot deployments.

How Detection Works

RF Signals → Edge AI Classification → Real-Time Threat Alerts

📡

Step 1: RF Signal Capture

Distributed sensor nodes passively monitor the 433–900 MHz RF spectrum. No active emissions. No radar signature. System remains invisible to drone operators.

Step 2: Edge AI Classification

Machine learning models run directly on edge nodes. Real-time analysis of RF fingerprints. No cloud dependency. Latency < 2 seconds. System continues operating even during network outages.

🧠

Step 3: Real-Time Threat Alert

Actionable intelligence delivered instantly to control systems. NATO-compliant SALUTE reports. Location data with confidence scoring. Enables immediate response.

Four Core Differentiators

What makes SkyGuardian fundamentally different from traditional radar and detection systems.

🥷

Passive Detection

Zero RF emissions. Completely invisible to drone operators. Unlike active radar, our system cannot be detected or jammed.

💰

Low-Cost Deployment

Fraction of traditional radar cost. Hardware nodes cost €250–€300. Deploy distributed networks for wide-area coverage without million-euro price tags.

🔗

Distributed Mesh Network

Scalable from 3 nodes to 300+. to expand coverage. Decentralized architecture ensures no single point of failure. Works in dense urban and remote environments.

⚙️

Edge AI Processing

On-device machine learning.No cloud dependency. Sub-2-second latency. Operates during network outages. Performance improves over time with localized data refinement.

Primary Application: Critical Infrastructure & Border Security

Designed specifically for high-value assets vulnerable to low-altitude drone threats.

✈️

Airports

Real-time detection of unauthorized drones in approach corridors and runway perimeters.

🛂

Border Control

Wide-area coverage of international borders. Detects smuggling and reconnaissance drones.

Energy Infrastructure

Power plants, substations, and transmission lines protected from aerial surveillance and attacks.

🚢

Ports & Maritime

Detection of drones over port facilities and coastal critical infrastructure.

Why Traditional Radar Fails

The Problem: 90% of critical infrastructure lacks effective low-altitude drone detection. Traditional radar systems are expensive (€5–10M+), emit detectable signals, struggle with slow/small targets, and take months to deploy.

The Reality: As commercial drone adoption accelerates, unauthorized drones represent a growing security threat. Infrastructure operators and border authorities need scalable, cost-efficient, real-time detection solutions—not expensive, static radar systems.

SkyGuardian vs. Traditional Systems

Feature
Radar
SkyGuardian
Signal Emission
Active (Detectable)
Passive (Invisible)
Deployment Cost
€5–10M+
€10K–50K
Low-Altitude Detection
Poor/Blind Spots
Effective
Deployment Time
3–6 months
1–2 weeks
Scalability
Fixed/Expensive
Distributed/Easy

Security & RF Technology Insights

Latest updates on drone threats and critical infrastructure protection.

Blog Image
Technology Teknoloji Tehnoloogia

Mitigating the Effects of RF Signal Multipath Fading in Urban C-UAS Environments

Kentsel C-UAS Ortamlarında RF Sinyal Çoğul Yol Kaybolması Etkilerini Azaltma

RF-signalite mitmikraadi kadumise leevendamine linnalises C-UAS keskkonnas

Learn how to minimize the impact of RF signal multipath fading in urban C-UAS environments, ensuring...

Kentsel C-UAS ortamlarında RF sinyal çoğul yol kaybolması etkilerini en aza indirgeme yöntemlerini k...

Õpige vähendama RF-signalite mitmikraadi kadumise mõju linnalises C-UAS keskkonnas, tagamaks usaldus...

May 11, 2026
Blog Image
Technology Teknoloji Tehnoloogia

Mitigating the Impact of RF Multipath Fading on Drone Detection Systems using Adaptive Antenna Arrays

İnsansız Hava Aracı Tespit Sistemlerinde RF Çift Yönlü Kayıp Etkisinin Azaltılması için Uyarlanabilir Anten Dizileri

RF mitmepõuva kahjuliku mõju vähendamine droonide jaoks kasutatavates tuvastussüsteemides kasutades kohandatavaid antenni-massiive

Discover how adaptive antenna arrays can help mitigate the effects of RF multipath fading in drone d...

İnsansız hava aracı tespit sistemlerinde RF çift yönlü kayıp etkisini azaltmak için uyarlanabilir an...

Avastage, kuidas kohandatavad antenni-massiivid aitavad vähendada RF mitmepõuva kahjulikku mõju droo...

May 11, 2026
Blog Image
Technology Teknoloji Tehnoloogia

Mitigating the Impact of RF Intermodulation on Drone Detection Systems

İHA Tespit Sistemlerinde RF İntermodülasyon Etkisinin Azaltılması

RF-intermodulatsiooni mõju vähendamine droonide avastamissüsteemides

RF intermodulation can significantly impact the performance of drone detection systems. Learn how to...

RF intermodülasyonu, İHA tespit sistemlerinin performansını önemli ölçüde etkileyebilir. Etkilerini...

RF-intermodulatsioon võib oluliselt mõjutada droonide avastamissüsteemide tööd. Õppige, kuidas vähen...

May 11, 2026

Secure Your Critical Infrastructure

Discover how our deep-tech detection system can be deployed to protect your facilities.