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maritime-surveillance

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📡 Production-grade maritime surveillance system for detecting ships in Synthetic Aperture Radar (SAR) imagery using YOLOv8-OBB (Oriented Bounding Boxes) and Lee speckle filtering. Handles the unique challenges of radar imagery: multiplicative noise and arbitrarily-oriented vessels.

  • Updated Dec 4, 2025
  • Python

A unified tool for processing various SAR (Synthetic Aperture Radar) ship detection datasets into a standardized format. This tool supports multiple popular datasets including HRSID, SAR-Ship-Dataset, SSDD, and SRSDD-V1.0, with robust error handling and comprehensive logging.

  • Updated Dec 10, 2024
  • Python

TRACK MY VOYAGE is a smart maritime surveillance system that uses deep learning and computer vision to detect, classify, and monitor ships in real-time from satellite and aerial imagery. Built with YOLOv8 and OpenCV, it automates ship detection, supports vessel classification, and triggers geofencing alerts to enhance maritime border security.

  • Updated Jul 10, 2025
  • Python

🏆 6th of 64 at Claude Hackathon, Imperial College London. AI-powered maritime surveillance fusing satellite AIS tracking, sanctions lists, RFMO registries and MPA boundaries into a 7-signal risk score, with Claude generating real-time intelligence briefs on illegal fishing vessels.

  • Updated Mar 24, 2026
  • Python

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