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Automated Aircraft Dent Inspection via a Modified Fourier Transform Profilometry Algorithm.

Pasquale Lafiosca1, Ip-Shing Fan1, Nicolas P Avdelidis1

  • 1Integrated Vehicle Health Management Centre, Cranfield University, Cranfield MK43 0AL, UK.

Sensors (Basel, Switzerland)
|January 22, 2022
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Summary

Automated aircraft dent inspection is feasible using a modified stereo Fourier transform algorithm. This system enhances accuracy and reduces human error in detecting dents, improving aircraft safety.

Keywords:
airworthinessfringe patternsinspectionspinhole camera modelstructured light

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Area of Science:

  • Aerospace Engineering
  • Computer Vision
  • Metrology

Background:

  • Aircraft dent inspection is a critical but hazardous manual process.
  • Current methods are susceptible to human error and environmental factors.
  • Automated solutions are needed to improve efficiency and safety.

Purpose of the Study:

  • To assess the feasibility of automated dent scanning using a modified single-shot stereo Fourier transform algorithm.
  • To enhance the algorithm for compatibility with unmanned aerial vehicles (UAVs).
  • To improve accuracy and reduce user dependency in dent measurement.

Main Methods:

  • Modification of a single-shot triangular stereo Fourier transform algorithm.
  • Introduction of automatic pass-band filter estimation.
  • Implementation of a virtual reference plane to minimize unwrapping errors.

Main Results:

  • Static experiments achieved a mean absolute error of approximately 0.1 mm at 60 cm.
  • Dynamic experiments yielded a mean absolute error of approximately 0.3 mm at 120 cm.
  • Overall mean absolute error reduction of approximately 34% was observed.

Conclusions:

  • The modified algorithm demonstrates high accuracy for automated dent detection.
  • The system's compatibility with UAVs suggests practical applications in aviation maintenance.
  • This technology promises to enhance the safety and efficiency of aircraft inspections.