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Displacement sensing based on microscopic vision with high resolution and large measuring range.

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Title: Displacement sensing based on microscopic vision with high resolution and large measuring range.
Authors: Wu, Pengfei1,2 (AUTHOR), Li, Weijie1,2 (AUTHOR), Zhao, Xuefeng1,2 (AUTHOR) zhaoxf@dlut.edu.cn
Source: Computer-Aided Civil & Infrastructure Engineering. Sep2024, Vol. 39 Issue 18, p2840-2858. 19p.
Subjects: Differential transformers, Computer vision, Detectors, Pixels, Algorithms
Abstract: Microimage strain sensing (MISS) is a novel piston‐type sensor based on microscopic vision. In this study, optical disc slice is used as information carriers to improve MISS. There are multiple pits on the surface of an optical disc. By using machine vision algorithms, the pits can be converted into digital information, making them scales for recording displacements. By this means, we proposed a sensing method that combines high resolution, wide range, and strong robustness. The study measured displacement under different conditions. To address inevitable factors such as pixel drift, and manufacturing errors, corresponding compensation methods were provided. The results show that the measurements closely match those of the linear variable differential transformer, with a resolution of up to 20 nm and a range approaching the sensor size. Despite the sensor's dependence on machine vision, it demonstrates strong resistance to environmental factors such as brightness and angle. Combining compensation methods for pixel drift, and manufacturing errors, this sensor can be well‐applied in various working conditions. [ABSTRACT FROM AUTHOR]
Copyright of Computer-Aided Civil & Infrastructure Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Displacement sensing based on microscopic vision with high resolution and large measuring range.
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  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Pengfei%22">Wu, Pengfei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Weijie%22">Li, Weijie</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Xuefeng%22">Zhao, Xuefeng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zhaoxf@dlut.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer-Aided+Civil+%26+Infrastructure+Engineering%22">Computer-Aided Civil & Infrastructure Engineering</searchLink>. Sep2024, Vol. 39 Issue 18, p2840-2858. 19p.
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  Data: <searchLink fieldCode="DE" term="%22Differential+transformers%22">Differential transformers</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Pixels%22">Pixels</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Microimage strain sensing (MISS) is a novel piston‐type sensor based on microscopic vision. In this study, optical disc slice is used as information carriers to improve MISS. There are multiple pits on the surface of an optical disc. By using machine vision algorithms, the pits can be converted into digital information, making them scales for recording displacements. By this means, we proposed a sensing method that combines high resolution, wide range, and strong robustness. The study measured displacement under different conditions. To address inevitable factors such as pixel drift, and manufacturing errors, corresponding compensation methods were provided. The results show that the measurements closely match those of the linear variable differential transformer, with a resolution of up to 20 nm and a range approaching the sensor size. Despite the sensor's dependence on machine vision, it demonstrates strong resistance to environmental factors such as brightness and angle. Combining compensation methods for pixel drift, and manufacturing errors, this sensor can be well‐applied in various working conditions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computer-Aided Civil & Infrastructure Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/mice.13227
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 2840
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      – SubjectFull: Differential transformers
        Type: general
      – SubjectFull: Computer vision
        Type: general
      – SubjectFull: Detectors
        Type: general
      – SubjectFull: Pixels
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      – SubjectFull: Algorithms
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      – TitleFull: Displacement sensing based on microscopic vision with high resolution and large measuring range.
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            – D: 15
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
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