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
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- natural sciencescomputer and information sciencessoftwaresoftware development
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Funding Scheme
HORIZON-AG - HORIZON Action Grant Budget-BasedCoordinator
10997 BERLIN
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.