ShipAI – Automated ship image analysis using Artificial Intelligence

To enhance the situational awareness within the maritime domain, the project aims to strengthen the anomaly detection capabilities and to support the authorities in decision-making. The core approach involves the development and validation of AI-based algorithms capable of automatically process the current camera imagery. The main goal is to prototype a real-time and post-event analysis platform that performs behaviour extraction and activity detection of the vessels. In addition, the possibility to extend these features to other spectral bands is explored.

Researcher

Cornelia Nita

Investor

IRSD-KHID-RHID

Runtime

October 2023 – September 2027

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Text detection by the AI-driven algorithm

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Gathering data to feed the algorithm

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The different steps of the algorithm for the identification task

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Ship detection and segmentation by the AI-based algorithm

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