Satellite-based change detection and predictive monitoring of infrastructure grids based on high resolution data

Project Information

EOinTime

Grant agreement ID: 190100375

DOI 10.3030/190100375

Project closed

EC signature date 20 September 2022

Start date 1 October 2022

End date 31 March 2024

Funded under

• The European Innovation Council (EIC)

Total cost € 2 489 000,00

EU contribution € 1 735 300,00

Coordinated by

LIVEEO GMBH
Germany

Project description

Predicting threats to infrastructure networks with AI-based algorithms

Early detection of changes in weather patterns and disruptions caused by ground deformation, vegetation, wildfires and third party activity can help large infrastructure networks to mitigate risks and keep operations running smoothly. Funded by the European Innovation Council, the EOinTime project intends to scale up its earth observation monitoring service, which integrates satellite data with machine learning algorithms. The project focuses on time series analysis and near real-time monitoring. To this end, it aims to develop AI-based change detection algorithms that will sequentially assess data patterns and identify anomalies with high precision. This will enable timely prediction of any potential threat to infrastructure networks. Stakeholders will have access to real-time insights of the monitoring service through mobile and web apps.

Objective

LiveEO will offer a holistic monitoring service for infrastructure networks based on satellite data and machine learning algorithms to identify external threats to the grid and predict future impacts by adding time series analytics to our services. The service will enable rapid change
detection (e.g. storm monitoring) to quickly assess the location and extent of damage and slow change detection to facilitate the prediction of potential risks. We will make use of optical and radar data to offer services in real time, regardless of weather. The solution requires the
development of AI-based change detection algorithms that evaluate data at different points in time i.e. time-series and are able to detect patterns and abnormalities in the data with high precision. To do this automatically, the development of an automated process chain, able to transform
data into actionable insights for our customers is part of the solution. Insights will be made available via mobile and web apps.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.

• engineering and technology › mechanical engineering › vehicle engineering › aerospace engineering › satellite technology
• natural sciences › computer and information sciences › software › software development
• engineering and technology › environmental engineering › remote sensing
• engineering and technology › electrical engineering, electronic engineering, information engineering › information engineering › telecommunications › radio technology › radar
• natural sciences › computer and information sciences › artificial intelligence › machine learning

You need to log in or register to use this function

Programme(s)

• HORIZON.3.1 - The European Innovation Council (EIC) Main Programme

Topic(s)

• HORIZON-EIC-2022-ACCELERATOROPEN-01 - EIC Accelerator Open

Call for proposal

HORIZON-EIC-2022-ACCELERATOR-01

Funding Scheme

HORIZON-AG - HORIZON Action Grant Budget-Based

Coordinator

LIVEEO GMBH

• Net EU contribution: € 1 735 300,00
• Address: CUVRYSTRASSE 3 4 ; 10997 BERLIN ; Germany
• SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes:
  Region
  Berlin › Berlin › Berlin
• Region: Berlin › Berlin › Berlin
• Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
• Total cost: € 2 489 000,00