In VesselEdge, vessels serve as distributed mobile sensors that enable machine learning in-situ (on-board) of the vessels (close to the data production). This enables efficient data operations across the maritime data life cycle and leads to better situational awareness, increased safety, and reduction of illegal activity.
Technologies used
MobiSpaces delivers an end-to-end mobility-aware and mobility optimised Data Governance Platform. It is surrounded by a Green & Environmental Dimensioning Workbench for the monitoring and advising of the processing behaviour, making suren guidelines and legislations are complied with towards minimising the environmental footprint. MobiSpaces envisions a set of toolboxes, suites, and tools that implement the MobiSpaces concept in its use case, see them showcased below.
Declarative Querying
Decentralized Data Management
Online Data Aggregator
Edge-driven Federated Learning
Visual Analytics
What has MobiSpaces improved?
Performance in re-scheduling the service to peak period has been improved in the following Key Performance Indicators:
The system pre-processes raw AIS data onboard and transmits only compressed trajectories and local model updates back to the control room, reducing bandwidth requirements and sharing knowledge. Integration with Frequentis’ commercial control room software has been completed, and discussions with potential customers, including coast guard operators, are already underway.
VesselEdge has demonstrated extended AIS coverage beyond the limits of coastal antennas. By linking sensors on moving vessels, the system enables on-demand coverage expansion. This capability has been validated in laboratory settings and documented in peer-reviewed publications.
Who is involved?
