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. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
- 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
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2022-ACCELERATOR-01
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
10997 Berlin
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.