IBM: MPA Safer System

With the expected increase in vessel traffic and port capacity, the Singapore Maritime and Port Authority (MPA) has been working to ensure that the future Port of Singapore is safe, secure, efficient and sustainable. Project SAFER, “Sense-making Analytics For maritime Event Response,” is an important component in this effort. A collaboration between MPA and IBM Research, Project SAFER aims to design and develop new analytics capabilities for dramatically increasing the efficiency of maritime operations. The system uses novel cognitive-based analytics leveraging machine learning and entity resolution to provide full situational awareness capability, accurate prediction and intelligence for improving maritime decision-making. Using the SAFER machine-learning-based analytics and vessel prediction models, abnormal and suspicious behavior is instantly discovered. Based on the extent to which the observed activity of individual or multiple interacting vessels deviates from the modeled behavior, the event is instantly geo-localized, and sent in the form of an alert. MPA can thus address infringements across all 1000 vessels in real-time SAFER system’s automated movement detection leads to a significant accuracy improvement of 34%. Vessel movement information is needed not only for ensuring safety and security but for many other functions including billing: the accuracy improvement achieved by the SAFER system thus has direct implications on revenue and reducing disputes.

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