29 August 2016 Fault diagnosis of aircraft hatch cover screws based on image recogniton
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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100330Z (2016); doi: 10.1117/12.2243618
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
Aircraft detachable hatch covers are usually fixed via quick-release screws. Given the number of screws on one hatch cover, it is possible that some of them are forgotten to be tightened (i.e., faulty screws) after the inspection because of careless and overtiredness of ground crews, which may lead to security risks. In this paper, a method based on image recognition is proposed to identify faulty screws. By analyzing the characteristics of the hatch cover images, image threshold segmentation, dilation and erosion operations are firstly used to pre-process the image. Then, every screw section can be approximately located. A series of sub-images each containing only one complete screw are divided from the original image. After that, Hough transformation is adopted to calculate the longest line in each sub-image. Based on the comparative result of the longest line and the predetermined threshold, whether the screw is faulty can be determined. Then, the proposed method is applied to a hatch cover, which shows that it is effective to faulty screws recognition.
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Yangyang Li, Shigang Zhang, Zheng Hu, "Fault diagnosis of aircraft hatch cover screws based on image recogniton ", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330Z (29 August 2016); doi: 10.1117/12.2243618; http://dx.doi.org/10.1117/12.2243618
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KEYWORDS
Image segmentation

Image analysis

Inspection

Digital filtering

Optical character recognition

Defense technologies

Diagnostics

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