Novellus, R: Neural-Fuzzy Inference Engine for Maritime Anom

In an era of heightened security concerns, a vast amount of data concerning vessel activity is collected. However, the ability for aggregation and real-time analysis for every vessel in a port or waterway is limited by availability of personnel and human capability for real-time analysis. An automated decision tool can alleviate some of the processing burden by providing maritime personnel with detection alerts that indicate unusual vessel activity and direct personnel focus to problem areas. The system is referred to as VASE (Vessel Anticipatory Situation-Awareness Engine).VASE provides an automated detection tool that uses spatial and kinematics indicators to detect unusual vessel activity. The system overlays machine learning techniques on maritime data streams to provide alerts of unusual indicators usable by maritime personnel. These indicators include unusual changes in speed, course, or proximity to other maritime objects. With these alerts, maritime personnel would be able to determine the appropriate course of action, such as contacting a vessel, allocating commandable sensors to a vessel of interest, or performing further investigation with other sources.