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Repository

R&D REPOSITORY

The IFAFRI R&D repository collects and provides information on ongoing and past research projects that focus on innovative first responder technology and concepts. The technology and concepts are linked to the IFAFRI 10 common capability gaps.

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IFAFRI‘S R&D repository is a repository for academia, industry and government representatives to be informed about R&D activities for first responders financed and executed by different stakeholders worldwide. 

The listed projects will be linked to the IFAFRI 10 common global capability gaps. The database will show government representatives at which gaps lots of R&D is ongoing or has been finished. On the other hand, SME’s could pick up innovative concepts from open public R&D projects and develop market-ready solutions. The repository will only collect a minimum of data and will not duplicate existing databases if your project is already listed in a database, e.g. CORDIS; please fill only the mandatory fields and link the project to the original database. The submission process takes, on average, 3 min.

RESULTS

The AIFER project aims to provide targeted, dynamic decision support to the BOS. Information from Earth Observation and internet data is analysed and fused by using AI algorithms in order to support the protection and rescue of people as well as the protection of critical infrastructures.

Information from Earth Observation and internet data (mainly Social Media posts) are analysed and fused by using AI algorithms in order to support the protection and rescue of people as well as the protection of critical infrastructure. End users determine their requirements, discuss them with developers to then integrate them directly into technical research. Comprehensive consideration of ethical, legal and sociological aspects is highly relevant to the project. Validation and integrability into existing operational processes are tested in a practical way together with end users. AIFER primarily addresses the disaster scenario of flooding, whereby the transferability to other disaster scenarios is demonstrated.

FILTERS

Capability gap(s) targeted:
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