Surveillance for Harbors using Intelligent Entities and Likelihood Distributions (SHIELD)

SHIELD uses a combination of AIS, radar, and camera data to perform vessel classification and anomalous traffic identification in the maritime domain. By leveraging machine learning algorithms, the system extracts important features from the data, such as vessel speed, direction, and size, and uses these features to classify and identify vessels. Furthermore, the system can also detect anomalous traffic patterns, such as unusual vessel movements or suspicious activity, which can be flagged for further investigation. Overall, the system can help improve situational awareness within busy ports and harbors, enabling quicker and more effective responses to potential security threats or emergency situations. It can also provide valuable insights into traffic patterns and vessel behavior, allowing for more efficient monitoring and management of maritime traffic. With its ability to integrate multiple data sources and employ advanced machine learning algorithms, the proposed system represents a significant step forward in the field of maritime traffic monitoring and management.