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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.

|July 19, 2022

Summary

This summary is machine-generated.

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.

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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:

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.