Application of AI Driven Underwater Detection and Control Measures for the SECURity of SEAS and Harbour Areas (SecureSeas)

Project: Research

Project Details


The EU-funded SecureSeas Project will scrutinise increasingly sophisticated legal and illegal activities in the maritime domain and corresponding needs of security practitioners to evolve their capacities to meet the future complex challenges of subwater detection systems. SecureSeas will construct a heterogenous uncrewed network from i) mobile (Autonomous Underwater and Surface Vehicles (AUV/ASV), Modular Magnetic Bio-Inspired Autonomous Underwater Vehicle (MMBAUV)) and buoys, and ii) static (autonomous bottom-mounted and moored systems) platforms. Disruptive capabilities will be developed in the modular, edge-computing ‘intelligent underwater imaging (optical and laser sensors) and acoustic sensors (synthetic aperture sonar, side scan sonars, multibeam sonars, vector hydrophones, hydrophone arrays and Fibre Optic (FO) arrays)’ that communicate situational awareness over an encrypted network. SecureSeas’s command and control software, will include a) underwater AI systems: A distributed modular
architecture with significant levels of AI-driven autonomy and data processing conducted at the edge near the sensing systems improving reliability, scalability, adaptability, and robustness to failure and adversarial attack and reducing the bandwidth requirements of the communication necessary to connect sub-systems with several critical enabling capabilities: AI and ML detection, classification and tracking algorithms, Edge computing capabilities in the sensor platforms b) a layered autonomy architecture with human-in-the-loop at the outermost layer, where innovative Multi-Modal Deep Learning (MMDL) will also be leveraged, with an overview of all the available data and history including fiscal manifests obtained from below and above the surface to support the command Centre with their decisions. SecureSeas will integrate the developed hardware and software modules and services and carry out full-scale tests and demonstration in two geographical locations.


Project Budget €5,999,847.50. Project proposal submitted on 23/11/22, awaiting decision.
StatusNot started


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