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MARI-Sense: Maritime Cognitive Decision Support System


The MARI-Sense project aims at developing the MARI-Sense Cognitive Decision Support System for the planning of maritime activities such as tracking surface vehicles, autonomous identification of polluting vessels, detection of swimmers and divers, and optimization of maritime spaces, amongst others.

Sustaining the high activity levels of maritime and coastal tourism and maritime transport and shipping sectors in Cyprus, require: (a) smart management of the country’s limited capabilities and resources via maritime spatial planning, and (b) agile response measures for preserving the natural environment, securing society, and ensuring economic growth.

The MARI-Sense project which is coordinated by University of Nicosia combines smart management and agile response capabilities into a family of cognitive systems equipped with perception, reasoning, learning, action, and intelligent resource allocation capabilities that enhance situational awareness under resource constraints imposed by the complex, wide-area, limited connectivity maritime environment.

Cognitive systems developed during the project include a suite of software for intelligent information collection and representation, a maritime laboratory equipped with wireless connectivity for testing maritime systems, an autonomous sea surface vehicle, and intelligent buoys. Cognitive maritime cyber-physical systems developed by MARI-Sense will operate in synergy with human operators to “make sense” of the maritime environment.

MARI-Sense is a strategic project for smart, sustainable, and inclusive growth with a beneficial impact on the society, technology, and economy powered by the diverse capabilities of the members of the project’s multidisciplinary consortium that consists of 5 academic and research institutions, 6 enterprises, 2 representatives of the industry and 1 governmental authority of Cyprus.

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The Project has received funding by the European Regional Development Fund and the Republic of Cyprus through the Research and Innovation Foundation with Grant Number INTEGRATED/0918/0032


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