Integrated multi-sensor fusion system for drone detection and threat assessment in maritime environments

Abstract

This patent presents an integrated multi-sensor fusion system designed to detect and assess drone threats in maritime environments, with a focus on offshore facilities. The system utilizes various sensors, including TDOA, sound, video, and GIS data, processed by specialized neural networks. These data are fused using a Multifaceted Neural Network (MFNN) for comprehensive threat evaluation. A Drone Risk Level (DRL) algorithm assigns risk levels based on drone characteristics. The system addresses maritime-specific challenges, incorporates data augmentation and transfer learning, and offers a robust solution for safeguarding economic, environmental, and national security interests in offshore regions.

Dependencies are inferred from the claim text.