INDALOS - Advanced GNSS Monitoring and Interference Detection System

INDALOS GNSS Interference Detection & Localization

Ensuring Reliable Positioning, Navigation, and Timing (PNT) Services with Intelligent AI Solutions

INDALOS is a state-of-the-art GNSS monitoring system designed to protect critical infrastructure and ensure continuous, accurate, and secure positioning, navigation, and timing (PNT) services. By combining advanced sensor nodes with intelligent AI-driven software, INDALOS protect your GNSS systems from interference! INDALOS is an AI-powered monitoring solution that detects and localizes GNSS jamming and spoofing in real time. With networked sensors and advanced analytics, it provides precise threat classification and immediate counteraction to prevent signal manipulation.

Key Features of INDALOS:

  • AI-Powered Real-Time Monitoring
  • Comprehensive Interference Detection and Classification
  • Precise Localization of Interference Sources
  • Flexible Node Deployment for Maximum Coverage
  • User-Friendly Interface with Intuitive Dashboards
  • Robust Design for Harsh Environments

System Components

The INDALOS architecture combines multiple intelligent components to create a comprehensive GNSS monitoring network. Each element is designed to fulfill a specific role in ensuring seamless detection, analysis, and mitigation of GNSS threats.

INDALOS Server – The Intelligent Control Hub

The INDALOS Server is the system’s central component, managing data collection, processing, and verification. Powered by AI, the server employs advanced machine learning algorithms to:

  • Detect and classify interference in real time.
  • Generate detailed reports with actionable insights.
  • Support decision-making for interference mitigation.
  • Manage all deployed nodes, ensuring seamless network coordination.
  • Visualize data on a user-friendly graphical interface with real-time monitoring, alerts, and reporting.

Key Features of INDALOS Server:

  • Fast analysis of large data streams.
  • Robust against environmental noise and data fluctuations.
  • Advanced learning algorithms continuously improve interference detection capabilities.

 

 

If you want to know how interferences affect samples, you can use our Sample online shop. Our Sample online shop is more than just a storefront—it’s an interactive resource designed to help you understand the intricate ways interference can impact your sample data. By exploring our Sample online shop, you can access detailed technical guides and real-world examples that illustrate how different types of interference, such as jamming or spoofing, alter signal integrity. You’ll find comprehensive documentation and modules that break down the interference effects into easily understandable segments.

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