Home Geospatial Applications Miscellaneous Researchers develop innovative maritime surveillance

Researchers develop innovative maritime surveillance

Spain: Researchers at the Universidad Carlos III de Madrid (UC3M) have designed an application for maritime surveillance. It integrates and unifies the information from different types of sensors and data in context through artificial intelligence and data fusion techniques.

The system has been designed for Núcleo CC, a company which develops surveillance systems for the maritime and aeronautic sectors. The first prototype will be used in in Cape Verde (Africa). Two types of sensors have been deployed for the Cape Verde: a set of radars and a series of AIS (AutomaticIdentification 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 areas. This has been achieved by the scientists of the Applied Artificial Intelligence Group (GIAA) of UC3M, who have carried out the project “Fusión de Información en Tráfico Marítimo” (Information Fusion in Marine Traffic).

The objective of the system is to guarantee security in the area by monitoring 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 several validation tests. The system can 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.

This first prototype opens the way for posterior analysis and development, as more data and information regarding its functioning under real conditions are obtained, the scientists noted. They are now researching how to apply this information fusion technology to fields such as robotics, in unmanned vehicle navigation, artificial vision or environmental intelligence systems. “In all these areas,” Professor Jesus Garcia pointed out, “information fusion technology and infrastructure are necessary to combine the data from available sensors and the contextual information in each scenario.”

Source: Science Daily