Objectives

The proliferation of relevant threats means that the work of LEAs and Border Agencies must be adapted to new challenges posed as a result of the increasing heterogeneity of threats in remote areas. To address this challenge, the REACTION project will:

(1)  Capitalize on the long-lasting collaboration of Greek and Cypriot LEAs and its academic and technical partners to identify which critical information need to be extracted from the collected data,

(2)  Adapt and introduce state-of-art and already validated under real conditions machine learning algorithms for processing and analyzing the received data in real-time to build knowledge maps focusing an optimal border surveillance solution,

(3)  Generate novel visualizations and decision support that LEAs can exploit to astutely decide and respond to emergencies and hazardous events,

(4)  Develop a framework to ensure the essential interoperability and integration of the project’s C2 with an enhanced and extended CISE network as well as EUROSUR for efficient reporting with existing infrastructure and better preparedness for hazardous and illegal events, and

(5)  Integration with the Reception and Identification Centers’ (RICs) & Fylakio’ s information platforms.

The main objectives of the REACTION project can be identified as:

(1)  Deploy an AI-enabled platform for efficient EU border surveillance in small and large real-life events which technologies has already been validated in similar operational scenarios and

(2)  Investigate its potential benefits and capabilities to support LEA activities effectively proven within the actual operational field environment, by the purchase and deploy of unmanned aerial means. In this manner, REACTION will strengthen surveillance and response to emergencies in the East Mediterranean external EU borders area and allow for testing and validating of previously developed innovative operational tools to facilitate borders surveillance.

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