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Vessel identification based on automatic hull inscriptions recognition.

Natalia Wawrzyniak1, Tomasz Hyla2, Izabela Bodus-Olkowska3

  • 1Department of Navigation, Maritime University of Szczecin, Szczecin, Poland.

Plos One
|July 19, 2022
PubMed
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This study introduces an automated method for identifying vessels using hull inscriptions from low-quality video streams. The system accurately recognizes 91% of ships, enabling efficient security and traffic management.

Area of Science:

  • Maritime security and surveillance
  • Computer vision and image processing
  • Optical character recognition (OCR) for vessel identification

Background:

  • Effective ship identification is vital for port security and vessel traffic management.
  • Current visual identification systems face challenges with low-quality video, varying inscription regulations, and natural scene complexities.
  • Automated vessel identification requires robust text recognition from challenging video feeds.

Purpose of the Study:

  • To develop and validate a novel method for automated vessel identification using hull inscriptions.
  • To address limitations of existing systems in handling low-quality imagery and diverse inscription conditions.
  • To achieve high accuracy and speed in identifying registered vessels from video streams.

Main Methods:

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  • A new method for text location and recognition applied to ship hull inscriptions (names, registration numbers).
  • Processing of low-quality video streams with inscriptions at various angles and sizes.
  • Matching recognized text with public ship registries for identification.

Main Results:

  • The proposed method achieved a 91% recognition rate on a test dataset.
  • Vessel identification times were consistently under 1 second.
  • The system demonstrated effectiveness with low-quality images and varied inscription placements.

Conclusions:

  • The developed method offers a robust and efficient solution for automated vessel identification.
  • Its performance in accuracy and speed makes it suitable for practical onshore monitoring systems.
  • This technology enhances maritime security and traffic management capabilities.