The maritime industry is one of the pillars of global economy, and one in which Greece has a competitive advantage, with the Greek-owned merchant fleet size ranking first in the world, accounting for 7.6% of the world’s fleet in terms of ship numbers. Although the maritime industry is considered a conservative one, the current wave of massive digitisation is quickly disrupting the entire sector. An innovation race is on in the maritime industry, the outcomes of which may be greatly beneficial both for the economy and the environment, laying the foundation for sustainable growth in the years to come.

A multitude of both on-vessel and ground sensors are producing massive information flows in a daily basis. The variety of such information ranges from signals transmitting vessel identification information, characteristics and destination; on-board sensor signals transmitting position and speed, while potentially reporting on the vessel’s and cargo status via Internet of Things technology which is quickly entering the picture; Environmental monitoring signals emitted from various types of floating and submerged devices and sensors.

Processing and combining information from such data streams allows for real-time situational awareness in the maritime domain, i.e., the ability to perceive the surrounding environment, comprehend current situations and project them into the future. It turns, this can have profound impact in the maritime industry, via promoting safety, detecting illegal activity and reducing costs, environmental or otherwise. Additionally, making sense of the complex and dynamic network of ships and their cargo constantly in motion across the world’s oceans, via processing such information flows, can provide insights into the global supply and demand trends. Such insights may be used together with more traditional (and static) information used to document the status of the maritime industry and forecast its development (e.g. the Baltic Dry Index), thus facilitating the decision-making process of stakeholders in the maritime sector.

Taking advantage of the current industry disruption opportunity in the maritime sector requires robust and scalable information processing systems, capable of making sense of a multitude of heterogeneous data streams with sub-second latency, timely detecting and accurately forecasting critical situations/events via sophisticated models. In turn, this calls for high quality systems combining and optimising techniques for Complex Event Processing and Forecasting, Machine Learning, Artificial Intelligence and Distributed Computing.

Thanks to its long-standing experience on the aforementioned research fields, NSCR-D can greatly contribute to the current wave of innovation in the maritime industry. The research and development involvement of NSCR-D that started in the context of the AMINESS national project is extended through actions such as the datACRON and the INFORE (starting January 2019) EU-funded projects, while it provides open source software for complex event recognition, forecasting and machine learning, tailored towards the needs of the maritime industry.

Relevant Market Sectors

  • Shipping companies
  • Companies providing specialized services for the maritime industry
  • Government and public sector

Actions & Services

  • Complex event processing and forecasting
  • Maritime surveillance
  • Process monitoring
  • Alerting services
  • Machine learning for modeling complex vessel behavior
  • Trajectory forecasting

Business Partners

  • MarineTraffic: MarineTraffic is the world’s leading provider of ship tracking and maritime intelligence. Building on a base of data gathered from our network of coastal AIS-receiving stations, supplemented by satellite receivers, it applies algorithms and integrate complementary data sources to provide the shipping, trade and logistics industries with actionable insights into shipping activity.
  • Danaos:  Danaos manages one of the largest independently owned fleet of modern, large-size containerships. Danaos has been widely recognised for its operational performance, technological innovation, high operational standards and commitment to sustainability.