Researchers at the Universidad Carlos III de Madrid (UC3M) have designed a real application for maritime surveillance that is able to integrate and unify the information from different types of sensors and data in context through artificial intelligence and data fusion techniques.The system has been designed by scientists from this Madrid university for Nucleo CC, a company which develops surveillance systems for the maritime and aeronautic sectors. The first prototype will be used in the near future in Cape Verde (Africa), reports spacedaily.
Two types of sensors have been deployed there: a set of radars and a series of AIS (Automatic Identification System), which allow ships to communicate their position and give other relevant data on their location and characteristics.
These two types of sensors offer complementary data which can be fused in order to obtain better information as to what is happening in the maritime and coastal space of the area of interest. This has been achieved by the scientists from the Applied Artificial Intelligence Group (GIAA) of UC3M, who have carried out the project "Fusion de Informacion en Trafico Maritimo" (Information Fusion in Marine Traffic).
The results of this research, presented last July at the International Conference on Information Fusion in Edinburgh, Scotland, has been the creation of data fusion software which allows improved maritime surveillance to be carried out, simultaneously integrating the capabilities of the radars and the AIS localization stations deployed. The objective is to guarantee security in the area by monitoring the different ships that are in a given maritime route which, at the same time is the entrance and exit of a commercial port.
The scientists developed a prototype which has been integrated into the company's system, after having undergone validation tests to be able to execute in real time with the data supplied by its sensors. It able to monitor 2,000 identifiable objectives between large and small vessels, with a capacity to process the data of up to 10 sensors and provide the exit with one second refresh time.
"Ships have to be able to localized 24 hours a day, 7 days a week, 365 days a year, independent of failures in the sensors or in the different intermediate mechanisms, and in some way, what this system attempts to do is guarantee that this can be done", explained Jose Luis Guerrero, the GIAA group researchers, who worked on this project from the UC3M Colmenarejo Campus.
"In this way", he continued", we are able to make it so these vessels never lose their position thus avoiding collisions or any type of problem in information management regarding the movement dynamics of these ships".
