The Maritime and Port Authority of Singapore (MPA), along with IBM, has concluded the pilot trial of three modules under the MPA-IBM sensemaking analytics for maritime event recognition (SAFER) project that seeks to improve maritime and port operations to help Singapore handle its growing vessel traffic.

The SAFER project is a joint collaboration between MPA and IBM that also aims to develop and test new analytics-based technologies.

Three modules, including automated movement detection, infringement analytics and pilot boarding detection were tested in the pilot trial.

Project SAFER is expected to be introduced progressively by September this year with the launch of these three modules, while the rest of the four modules of the project are slated to be rolled out by next January.

MPA chief executive Andrew Tan said: “We will continue to develop our digital strategies through the use of data analytics and machine learning technologies to optimise our port operations and enforcement to meet existing, as well as future demands.

"The SAFER project will enable us to reap immediate benefits especially in the areas of next-generation port enforcement and monitoring of vessel movements."

“The SAFER project will enable us to reap immediate benefits especially in the areas of next-generation port enforcement and monitoring of vessel movements.”

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The seven modules included in the Project SAFER are targeted to provide new capabilities for automating and increasing the accuracy of critical tasks that were previously dependent upon human observation, reporting, very high-frequency (VHF) communication and data entry.

The modules comprise automated movement detection, infringement analytics, pilot boarding detection, bunkering analytics, prohibited area analytics, vessel traffic arrival prediction, and utilisation detection and prediction.

MPA and IBM are currently developing and testing the other four Project SAFER modules to provide improved information on traffic density within Singapore port waters.