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Enhancing Maritime Domain Awareness Through AI-Enabled Acoustic Buoys for Real-Time Detection and Tracking of Fast-Moving Vessels

  • 0Roger F. Wicker Center for Ocean Enterprise, The University of Southern Mississippi, Gulfport, MS 39501, USA.
Sensors (basel, Switzerland) +

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April 28, 2025

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April 28, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

AI-enabled acoustic buoys effectively detect and track vessels using OpenEar™ sensors. This technology enhances maritime surveillance and aids in identifying illegal fishing activities.

Area Of Science

  • Marine acoustics
  • Artificial Intelligence (AI)
  • Sensor networks

Background

  • Traditional acoustic target recognition methods struggle with accuracy on commodity hardware.
  • Limitations in current systems necessitate advanced solutions for marine sensing.

Purpose Of The Study

  • To evaluate AI-enabled acoustic buoys for detecting and tracking fast-moving vessels.
  • To assess the capabilities of OpenEar™ hydrophone sensors in a sparse network configuration.

Main Methods

  • Utilized a triangular sparse sensor network with AI-enabled acoustic buoys.
  • Investigated techniques for detection, classification, localization, and tracking of vessels.
  • Evaluated sensor operational detection range and onboard AI feasibility for cloud-based data fusion.

Main Results

  • Demonstrated the effectiveness of AI-enabled acoustic buoys in enhancing maritime domain awareness.
  • Gained insights into identifying illegal, unreported, and unregulated (IUU) fishing activities.
  • Confirmed the feasibility of onboard AI for cloud-based data fusion.

Conclusions

  • AI-enabled acoustic buoys offer a viable solution for accurate acoustic target recognition.
  • The study provides a framework for scalable autonomous sensor networks for persistent maritime surveillance.

Keywords: