Satellite-based change detection and predictive monitoring of infrastructure grids based on high resolution datacore
EOinTime · Horizon Europe grant · 2022-10-01–2024-03-31
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2022-ACCELERATOR-01 · scheme HORIZON-EIC-ACC-BF · topic HORIZON-EIC-2022-ACCELERATOROPEN-01. CORDIS record →
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.
Beneficiaries (1)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| LIVEEO GMBH | DE | coordinator | €1,735,300 | Yes |
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