ARGUS

Automated Recognition of Ghost Ships and Underwater Surveillance

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The Project ARGUS

Automated Recognition of Ghost Ships and Underwater Surveillance

The protection of critical underwater infrastructure (KRITIS) has so far been neglected due to the high costs involved. There is no overview of KRITIS-related ship movements and no means of recognising ships that switch off their positioning system. There is also no strategy for the rapid and systematic monitoring of KRITIS under water. At the moment, measurement data are processed manually on an individual and time-consuming basis.

Argus is a project funded by the BMDV with a total funding amount of around 2.7 million euros. During the project period from 1 June 2024 to 31 May 2026, Argus aims to enable automated and data-based monitoring and risk assessment of KRITIS at sea.

Office

Project Specs

  • Timeframe: June 1, 2024 - May 31, 2026
  • Funding: €2.7 million
  • Goal: Argus aims to enable automated and data-based monitoring and risk assessment of KRITIS at sea.
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Project Summary

Argus is a project funded by the BMDV that aims to enable automated and data-based monitoring and risk assessment of KRITIS at sea. Satellite data and ship position data will be linked and visualised with the position data of critical infrastructures on a newly created data management platform. This platform will be a central tool for monitoring actual ship movements, systematic risk assessment and the strategic, automated inspection of potentially endangered KRITIS.

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Funding

Funding is provided by the Federal Ministry for Digital and Transport (BMDV), as part of the mFUND innovation initiative.

 

Our Contribution

In addition to north.io GmbH, GEOMAR - Helmholtz Centre for Ocean Research Kiel and Subsea Europe Services GmbH are also involved in the project. Within the project, north.io GmbH is responsible for the development of a functional, user-friendly prototype as the basis for a commercially usable platform that supports KRITIS stakeholders in securing underwater infrastructure. In addition, the development and training of AI for the automated analysis and risk assessment of KRITIS-related ship movements in the North Sea and Baltic Sea, in cooperation with GEOMAR - Helmholtz Centre for Ocean Research Kiel (GEOMAR), are among the tasks of north.io GmbH. In addition, the existing "Sound-Velocity-Tool" is being optimised for the AI-supported processing of survey data from near-seabed KRITIS in cooperation with NVIDIA and its Physics AI from the NVIDIA Modulus.

BSH-24h Hackathon Presentation

Consortium

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