Researchers at Texas A&M University have created an intelligent AI system that can help prevent accidents and collisions at sea.
Named ‘Ship Collision Avoidance of Machine learning And Radar Technology for Stationary Entities and Avoidance’, or SMART-SEA, the platform works to decrease the dependence on ship captains.
The project team was led by Dr Mirjam Fürth, an assistant professor of ocean engineering, who was awarded a contract by the US Department of the Interior (DOI) and the US Department of Energy (DOE) through the Ocean Energy Safety Institute (OESI).
It is not completely an autonomous system, rather it provides ‘a human-in-the-loop’, who gives real-time instructions based on maritime traffic, weather and other factors.
This makes navigation safer and easier for the crew, transiting crucial or dangerous waterways by providing additional information and instructions.
Collisions between vessels and accidents like ships hitting stationary structures like rigs or lighthouses are becoming common, and most are caused by human error. This AI system will help eliminate that, stated the project team.
Massive vessels have a lot of forward momentum that their stopping distances
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