Abstract
Underwater noise generated by offshore industrial activities poses significant risks to marine life, especially cetaceans. This paper presents an innovative real-time monitoring system combining embedded passive acoustic monitoring, marine mammal detection based on AI, and acoustic modelling to assess and manage underwater noise pollution. The modular system, deployed on autonomous buoys, is equipped with various recorder-hydrophone configurations and supports both real-time analysis and remote human validation. Beyond local measurement, the integration of propagation models allows extrapolation to unmonitored areas, enhancing spatial coverage. Field validations, including live offshore operations, demonstrate the system's reliability, responsiveness, and compliance-readiness under European regulatory frameworks such as the EIA Directive and the Marine Strategy Framework Directive (MSFD). This solution offers a scalable and effective tool to support mitigation actions and timely decision-making to mitigate the acoustic impact of offshore activities.