• The Port Authority of Valencia, Fundación Valenciaport, the Polytechnic University of Valencia, Telefónica and the technology companies XRF and ETRAIR test the most cutting-edge technology for security in the restricted airspace of the Valencia area.
• During the demonstration of the IMAGINE-B5G project, two alleged security emergencies were managed in the Valencian docks using 5G connectivity, a drone, generative artificial intelligence and a 3D digital twin, among other technologies.

Valencia, 10 July 2024.- 5G connectivity, speed, efficiency, optimisation and real-time coordination are the keys to the success of the IMAGINE-B5G project. This initiative – which is part of the innovation strategy of the Port Authority of Valencia (APV) – has been developed by Telefónica, the company XRF, ETRAIR and coordinated by the APV, Fundación Valenciaport and the iTeam institute of the Polytechnic University of Valencia. The project aims to develop a pilot using advanced 5G communications, such as network slicing and network apification that serves as an enabler of other technologies that transform port security, such as generative AI, augmented reality and digital twinning.

To put them to the test, this morning the Port of Valencia hosted a simulation of the operation of the virtual control centre platform and technology developed as part of the project. During the demonstration, two emergency and security use cases were simulated.

Through the 5G network, a drone was managed autonomously from the virtual command and control centre, which had a digital twin in the Port of Valencia.

In this way, a surveillance round has been defined from the virtual reality platform from which the images that have been transmitted by the drone through the network will be visualised and which, through the generative AI, generate alerts when intrusions are detected in non-permitted areas.

In the same way, in the second use case, the virtual command and control centre receives the images of the port’s surveillance circuit, also retransmitted by the network, and the generative AI detects, through the analysis of the video in real time, the open doors of the areas where access is required to pass and sends the drone automatically to the place where the alert has occurred.

Thanks to this pilot project, it is demonstrated that the combination of these technologies facilitates the complete situational understanding of any emergency, allowing it to be managed remotely, immediately and effectively.