Information Monitoring System for the MARitime Identification of Suspects behavior
The purpose of the project is to develop an "integrated system" comprising a set of network monitoring means for a large sea area, to lead to the development, in a real environment, of key technologies, new sensors, and new algorithms incrementally in association with users.
The capabilities of the system are:
- Stand, in real time, multiple sensors situational awareness of maritime traffic (AIS, VMS, conventional radar, long-range radar at high frequency, continuous radar frequency modulation, satellite image processed, optronics camera, etc..)
- Develop, in delayed time, situational awareness of maritime traffic filled with information on the activities of vessels (types, destinations, cargo, history, etc..), the sailing conditions (weather / oceanographic), geographical data , regulations …
- Detect abnormal events (in travel and activities) and generate alerts
- Analyze, interpret and report suspicious behavior (claims, criminal activities, illegal fishing, pollution, violations of regulations) associated with alerts.
Led by DCNS, the R & D project SISMARIS aims to further the development of a comprehensive information and technologies to a broader monitoring and analysis system for maritime traffic.
With this system, all types of vessels may therefore be tracked continuously up to 400 km from the coast 24 km against the current with the most advanced in the world means.
Over a period of 36 months and a total of € 6.8 million, SISMARIS project received, March 10, 2009, the approval of the Single Interministerial Fund to support projects of Collaborative Research & Development clusters.
SISMARIS has been materialized by the gradual implementation (mid 2010 to mid 2011) in Toulon region (Saint-Mandrier and Iles du Levant) a demonstration platform to monitor a large part of the western Mediterranean.
This project helps to develop the DCNS defense skills, innovative SMEs and Scientific Laboratories, on issues of civil protection. Will include used algorithms decision support for detecting abnormal behavior of ships and therefore take better account of both distress at sea, that can cause human or environmental disasters, than suspicious situations related terrorism, piracy, illegal immigration or illegal.