Multiverse Computing partnered with a major European naval prime contractor to design an advanced maritime surveillance AI capability that detects anomalous vessel behaviour and the potential presence of unmanned surface and underwater vehicles. The system fuses information from multiple sensor sources (VDES, AIS, radar, sonar and optical feeds) and is engineered to run end to end across both C2 on-premises infrastructure and embedded naval platforms with limited resources.
The Challenge
The client needed to identify suspicious maritime situations in real time, combining heterogeneous sensor sources to flag anomalous ship behaviours and the possible presence of unmanned surface and underwater vehicles. Standard, single-sensor or rule-based monitoring tools were too brittle to handle the diversity and volume of maritime data, and a fully cloud-based architecture was not viable under the security, sovereignty and latency requirements of naval operations. The mission demanded a multi-sensor approach that could run on-premises and at the edge.