Biblio

In view of the challenges with Aids to Navigation (AtoN) managements and emergency response, the present study designs and presents an AtoN real-time video surveillance system based on the AIS collision warning. The key technologies regarding with AtoN cradle head control and testing algorithms, video image fusion, system operation and implementation are demonstrated in details. Case study is performed at Guan River (China) to verify the effectiveness of the AtoN real-time video surveillance system for maritime security supervision. The research results indicate that the intellective level of the AtoN maintenance and managements could be significantly improved. The idea of designing modules brings a good flexibility and a high portability for the present surveillance system, therefore provides a guidance for the design of similar maritime surveillance systems.

CISE stands for Common Information Sharing Environment and refers to an architecture and set of protocols, procedures and services for the exchange of data and information across Maritime Authorities of EU (European Union) Member States (MS's). In the context of enabling the implementation and adoption of CISE by different MS's, EU has funded a number of projects that enable the development of subsystems and adaptors intended to allow MS's to connect and make use of CISE. In this context, the Integrated Systems Laboratory (ISL) has led the development of the corresponding Hellenic and Cypriot CISE by developing a Control, Command & Information (C2I) system that unifies all partial maritime surveillance systems into one National Situational Picture Management (NSPM) system, and adaptors that allow the interconnection of the corresponding national legacy systems to CISE and the exchange of data, information and requests between the two MS's. Furthermore, a set of forensics tools that allow geospatial & time filtering and detection of anomalies, risk incidents, fake MMSIs, suspicious speed changes, collision paths, and gaps in AIS (Automatic Identification System), have been developed by combining motion models, AI, deep learning and fusion algorithms using data from different databases through CISE. This paper briefly discusses these developments within the EU CISE-2020, Hellenic CISE and CY-CISE projects and the benefits from the sharing of maritime data across CISE for both maritime surveillance and security. The prospect of using CISE for the creation of a considerably rich database that could be used for forensics analysis and detection of suspicious maritime traffic and maritime surveillance is discussed.