Imagine a smart security system, but for germs instead of burglars. It uses AI to spot sickness early on ships and tells the crew exactly how to stop it from spreading. It's like having a digital health guard that keeps passengers safe and prevents the ship from being quarantined.
Passenger ships are crowded environments where infections spread rapidly, leading to costly operational shutdowns and health crises. Existing response plans often lack scientific evidence and fail to detect emerging diseases quickly.
A prototype software for real-time health surveillance, an AI-driven health threat alert system, a water safety plan tool, and a blended learning toolkit for crew training.
If you are a cruise line operator dealing with sudden outbreaks that disrupt itineraries — this project developed AI-powered health threat alerts and decision support tools that enable early detection and proportionate responses to keep ships sailing.
If you are a ferry company dealing with high passenger turnover and infection risks — this project developed a prototype software for real-time syndromic and environmental surveillance to identify threats before they scale.
If you are a port authority dealing with unpredictable health crises from arriving ships — this project developed a toolkit for predicting port response capacities and an e-pass system to manage passenger flow safely.
Based on available project data, specific pricing is not provided, but the project includes cost-benefit analyses of specific measures to ensure they are cost-effective.
Yes, the project specifically differentiates its measures for large ferries, cruise ships, and expedition vessels to ensure scalability across different ship types.
Based on available project data, the specific licensing terms are not mentioned, though the project is developing prototype software and AI tools for health surveillance.
The project creates an evidence base to inform the development of guidelines for COVID-19, vaccination, and ventilation systems, helping operators meet health standards.
The project period runs from 2022-09-01 to 2026-02-28, suggesting that final validated tools will be ready by early 2026.
The consortium is well-balanced for commercial translation, featuring 25 partners across 12 countries. With an industry ratio of 28% (7 industrial partners), there is a strong link between the 11 universities and 6 research centers and the actual maritime market, ensuring the AI tools are designed for real-world ship operations.
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Contact us to explore licensing opportunities for the AI health surveillance prototypes.
