Project description
AI-based solutions for disaster prediction
Advancements in digital technology are testing the capabilities of Law Enforcement Agencies (LEAs) and First Responders across all operational phases, including disaster prediction and recovery. The EU-funded LEAD-PRo project aims to equip these agencies and responders with advanced AI-based tools and technologies to enhance their effectiveness. The project focuses on using mature technological solutions, fostering collaboration among small and medium-sized enterprises, involving end-users in the validation process, and promoting cooperation between technology companies and research organisations. It aims to develop a platform for real-time disaster prediction, optimise data processing for disaster prevention, and propose solutions for post-crisis and disaster recovery, including robotics for hazardous areas and UAV/UAS assessment of areas of interest.
Objective
LEAD-PRO focuses on mature technological solutions, achieving a Technology Readiness Level (TRL) 8, fostering collaboration among SMEs from different Member States, fostering collaboration among SMEs from different Member States, involving LEA/First Responder end-users in the validation process, and promoting collaboration between small technology companies and research organisations. With a consortium comprising three SMEs from Spain, Lithuania, Ireland, as well as three partner LEAs serving as end users from Spain, Lithuania, Latvia, complemented by dynamic NGO, the project spans 24 months.
The project's primary aim is to equip LEAs and first responders with advanced AI-based tools and technologies that enhance their capabilities across all operational phases and contribute to digital societal resilience.
The LEAD-PRO solution encompasses three advances:
*Real-Time Information Collection and Analysis for Disaster Prediction: The project develops an innovative platform for gathering, processing, and sharing real-time data and information. This includes CCTV, cameras, drones, and anomaly detection systems. The platform integrates state-of-the-art technologies such as artificial intelligence, cloud computing, and big data to create a robust warning system and enhance geolocation capabilities for both the public and rescue teams.
*Optimisation of Disaster Prevention: LEAD-PRO exploits monitoring data, satellite/remote sensing information, and artificial intelligence to conduct high-level assessments. This involves optimising the processing of data from satellite and aerial imagery, sensor networks, and weather information.
*Robust Response for Better Recovery: The project focuses on innovative solutions for post-crisis and disaster recovery, including robotics for tasks in hazardous areas. Utilizing UAV/UAS for assessing areas of interest, the project addresses energy and data network rehabilitation, autonomous systems, and decentralised operation.
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.
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.
- social sciences political sciences political policies civil society civil society organisations nongovernmental organizations
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- medical and health sciences clinical medicine physiotherapy
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots drones
- social sciences law
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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.
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HORIZON.2.3 - Civil Security for Society
MAIN PROGRAMME
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HORIZON.2.3.2 - Protection and Security
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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-IA - HORIZON Innovation Actions
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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-CL3-2023-SSRI-01
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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.
20009 San Sebastian
Spain
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.