SEAMLESS

Maritime authorities must interpret ever-growing volumes of data in the busy and complex North Sea environment. Radar and AIS alone are insufficient as a sole data layer: spoofing, dark vessels, wind farm clutter, and adverse weather conditions make it increasingly difficult to distinguish genuine threats from background noise and to trigger a timely response.

SEAMLESS, or Sensor-Enhanced Awareness for Maritime Law Enforcement, provides a high-tech and automated solution to enhance situational awareness of potential maritime threats and to integrate the data-feeds in existing surveillance software. It combines live offshore vessel sensor feeds, satellite imagery, AI-assisted vessel classification, and a pilot-focused mission interface for rapid-response aircraft such as the long-range Diamond DA62 MPP.

Objective

SEAMLESS aims to demonstrate an integrated, low-latency information chain that accelerates the path from threat detection to operational response, delivered under platform-agnostic formats over a secure connection.

Approach

The project combines real-time data from offshore vessels, surveillance aircraft, radar systems, AIS, and satellites. AI models support the detection and classification of suspicious vessels, with a special focus on performance under the challenging weather conditions of the North Sea: fog, rain, spray, and low light.