SciTransfer
SafeNav · Project

AI-Powered Collision Avoidance and Maritime Hazard Detection System

transportTestedTRL 6

Imagine a high-tech safety net for ships that acts like a super-powered set of eyes. It combines radar and sensors to spot everything from hidden rocks to swimming whales in real-time. Instead of the captain guessing, the system suggests the safest path to steer, similar to how a smart car avoids a crash.

By the numbers
11
consortium partners
8
countries involved
64%
industry ratio in consortium
The business problem

What needed solving

High rates of maritime accidents, including collisions and groundings, cause severe economic loss and environmental damage. Navigators often struggle with data overload and slow decision-making when facing obstacles.

The solution

What was built

A Decision Support System (DSS) that integrates LADAR and AIS data to suggest COLREG-compliant maneuvers. A digital Gamified Training Module was also created to simulate these scenarios.

Audience

Who needs this

Commercial shipping companiesPort authoritiesMarine insurance providersEnvironmental protection agenciesOffshore energy operators
Business applications

Who can put this to work

Commercial Shipping
enterprise
Target: Cargo vessel operators

If you are a cargo vessel operator dealing with high accident rates and COLREG compliance—this project developed a Decision Support System (DSS) that provides real-time, compliant steering suggestions. This reduces pressure on navigators and lowers the risk of costly collisions.

Environmental Protection
any
Target: Marine conservation agencies

If you are a conservation agency dealing with vessel strikes on whales—this project developed optimal-tuned pingers to alert cetaceans of approaching ships. This prevents wildlife collisions using sensor-driven detection.

Logistics & Recovery
mid-size
Target: Maritime salvage and insurance firms

If you are a salvage firm dealing with lost cargo—this project developed mathematical models to predict container drift trajectories. This data is fed into a Navigational Hazard Database to make recovering lost containers faster and easier.

Frequently asked

Quick answers

What is the cost or pricing model for the SafeNav system?

Based on available project data, specific pricing or cost details are not provided.

Is the system ready for industrial scale deployment?

The project is developing a Decision Support System (DSS) and testing it with 11 partners across 8 countries, indicating a move toward industrial application, though full scale is not yet confirmed.

Who owns the IP and how is licensing handled?

Based on available project data, the IP and licensing terms are not specified.

How does the system integrate with existing ship hardware?

It integrates multi-sensor data from both proprietary LADAR sensor suites and off-the-shelf sensors already installed on vessels, alongside AIS data.

What is the timeline for the final rollout?

The project period runs from 2022-09-01 to 2025-08-31.

Consortium

Who built it

The consortium is heavily industry-weighted with a 64% industry ratio, comprising 7 industry partners (including 5 SMEs) and 3 academic/research entities. This strong commercial presence across 8 countries suggests the technology is being developed with direct market application and commercial viability in mind.

How to reach the team

Contact O.M. OFFSHORE MONITORING LIMITED in Cyprus

Next steps

Talk to the team behind this work.

Contact us to explore licensing opportunities for the LADAR-integrated DSS.

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