Real Time AI Assist Pilotage (RAP)

Real Time AI Assist Pilotage (RAP)

According to the Global Autonomous Ships Market Report 2021, the market is expected to grow to $6.46 billion in 2021. Despite the large market, it has been recorded that human error is the cause of 75% to 96% of marine accidents. Being susceptible to human error on a vessel poses a huge concern for safety and profit.

Relying on both autonomy and remote pilotage can help reduce the chance for such human error, while also decreasing the reliance on foreign manpower and improve safety through autonomous function. Autonomous and remote pilotage vessels can increase the safety of aquatic life and increase fuel efficiency by using Real Time Assist AI Pilotage (RAP) to calculate the best path to every destination. This ideal route has a lighter carbon footprint compared to traditional means of travel.

The RAP utilises deep machine learning with a powerful algorithm on multi-layered APIs for navigation. A Realtime assistant would further enhance the standard anti-collision warning system with advanced optical sensors for both day and night navigation. Realtime data is constantly fed into the system, this in turn would optimise navigational behaviour and improve energy efficiency and emission.

Cheaper cost of expenses for maintenance and fuel have also caused the rise for such piloting methods. Autonomous ships use the same technology as other autonomous vehicles and rely on sensors along with the help of infrared and visual spectrum cameras supplemented by radar, sonar, lidar, GPS and AIS which will be able to supply data for navigational use. Whereas remote piloting allows qualified pilots, situated on land or on a pilot boat, to guide the vessel remotely.