Solutions

Explore our innovative UAV traffic management technologies and other research solutions.

Solutions Overview

Remote Identification Modules

Our Remote Identification Modules provide a reliable way to identify and track UAVs in airspace. These modules enable regulatory compliance while maintaining appropriate privacy levels for operators and missions.

The system includes features such as secure broadcast identification, network-based identification, and compatibility with international standards to ensure interoperability across different jurisdictions.

Key features:

Lightweight hardware modules for easy integration with existing UAVs
Secure data transmission with privacy-preserving mechanisms
Compatibility with FAA Remote ID and EASA standards

Authentication Service

(in progress)

Our Authentication Service provides a robust security layer for UAV communications. The service verifies the identity of UAVs and operators before allowing them to participate in the traffic management system.

Currently in development, this service will implement multi-factor authentication methods and certificate-based validation to ensure that only authorized entities can access and participate in the UTM ecosystem.

Upcoming features:

Zero-knowledge proof mechanisms for privacy-preserving authentication
Decentralized identity management for increased resilience
Real-time credential verification and revocation

LLM-Based Monitoring

Our LLM-Based Monitoring system leverages advanced language models to analyze UAV telemetry data, communications, and traffic patterns to identify anomalies and potential security threats in real-time.

The system can understand complex operational contexts, anticipate potential conflicts, and provide natural language explanations for its decisions, making it easier for operators to understand the airspace situation.

Key capabilities:

Natural language processing of operator communications
Contextual understanding of mission parameters and requirements
Anomaly detection with explainable AI for transparent decision-making

CV-based Detection, Tracking, Matching and Disambiguation

(in progress)

Our Computer Vision-based system uses advanced image processing algorithms to detect, track, and identify UAVs in the airspace. This technology works independently of onboard identification systems, providing an additional layer of verification.

Currently in development, this solution will be able to disambiguate between multiple UAVs in a crowded airspace, track their movements with high precision, and match visual observations with registered flight plans.

Upcoming features:

Real-time UAV detection from ground-based and aerial cameras
Multi-sensor fusion for improved tracking accuracy
AI-powered UAV type classification and behavior analysis

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XR-based Matching and Disambiguation

(in progress)

Our Extended Reality (XR) solution leverages augmented and virtual reality technologies to provide operators and airspace managers with intuitive visualization tools for UAV identification and tracking.

This innovative approach, currently in development, will enable users to visually match physical UAVs with their digital representations, resolve ambiguities in identification, and maintain situational awareness in complex environments.

Upcoming features:

AR headset integration for real-time UAV identification
Interactive 3D visualization of airspace and traffic flows
Gesture-based control for intuitive interaction with the system

Coming Soon

Image Crowdsensing-based Localization

Our Image Crowdsensing-based Localization system harnesses the power of distributed imaging sources to accurately locate and track UAVs in areas where traditional tracking methods may be limited.

By aggregating and analyzing images and videos from multiple sources including public cameras, smartphone submissions, and dedicated sensors, the system can establish precise positions of UAVs even in GPS-denied environments or urban canyons.