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Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
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A sensor system for detection of hull surface defects.

Pedro Navarro1, Andrés Iborra, Carlos Fernández

  • 1DSIE, Technical University of Cartagena, Campus Muralla del Mar s/n, Cartagena, E-30202 Spain. pedroj.navarro@upct.es

Sensors (Basel, Switzerland)
|December 14, 2011
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Summary

This study introduces an efficient sensor system for detecting ship hull defects. The technology uses real-time image processing for robotic grit blasting, even in varied lighting conditions.

Keywords:
ship hull blastingsurface fault detectionvision sensors

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Area of Science:

  • Robotics and Automation
  • Materials Science
  • Non-Destructive Testing

Background:

  • Automated defect detection is crucial for efficient ship maintenance.
  • Current methods for identifying ship hull defects can be labor-intensive and time-consuming.
  • Robotic grit blasting requires precise surface defect identification for optimal operation.

Purpose of the Study:

  • To develop and present a novel sensor system for detecting defects on ship hull surfaces.
  • To enable robotic systems to perform automated grit blasting operations.
  • To improve the efficiency and accuracy of defect detection in challenging industrial environments.

Main Methods:

  • Development of a sensor system integrating a camera for image acquisition.
  • Implementation of a real-time defect detection algorithm based on thresholding techniques.
  • Testing the sensor system under real-world conditions at a shipyard.

Main Results:

  • The sensor system successfully captured images of ship hull surfaces.
  • The defect detection method demonstrated high efficiency in automatic defect identification.
  • The system performed effectively even under variable lighting conditions.
  • Excellent results were achieved during testing at a Spanish shipyard.

Conclusions:

  • The proposed sensor system is effective for detecting ship hull surface defects.
  • The real-time defect detection method is robust and adaptable to varying light conditions.
  • This technology facilitates the integration of robotic systems for ship maintenance operations.