LR, Orca AI trial tests digital navigation at sea

A live vessel trial by Lloyd’s Register and Orca AI offers new evidence on how computer vision can support bridge teams in real conditions. The results point to practical gains in detection and decision support, with implications for shipowners assessing digital navigation tools.

Lloyd’s Register has completed a five-day onboard assessment of Orca AI’s navigation platform during a feeder containership voyage across busy Mediterranean routes. The trial examined how AI-based computer vision performs alongside Radar, AIS and visual watchkeeping in congested waters and low visibility.

During the voyage, the system identified close-range and low-signature targets that were not always picked up by conventional systems. This included small craft and non-AIS vessels, particularly during night operations.

Han Beng Koe, LR Ship Performance Specialist, said: “As the onboard assessor, I observed the demonstrated capabilities of AI-based computer vision within the operational environment. This provides a clear indication of the performance potential and scalable application of emerging technologies in maritime navigation systems.”

The SeaPod system recorded 94% precision and 98.6% recall across 739 tracked targets, with no downtime reported.

The trial also tested how crews interact with the system. Stephanie McLay, Team Lead – Human Factors, LR, said: “From a human factors perspective, it is not just about what the technology can do. It is about how effectively it supports the human operator.”

Orca AI CTO and Co-founder Dor Raviv said: “What this trial shows is that AI-assisted navigation is no longer a future concept, it is already delivering measurable value in live operations.”

The project sets out a framework combining detection metrics with crew feedback, offering shipowners a clearer basis for evaluating digital navigation systems in day-to-day operations.

source : thedigitalship