Modification of the laser triangulation method for measuring the thickness of optical layers

Khramov, V. N.; Adamov, Anton

doi:10.1117/12.2314820

Cited by 4 publications

(2 citation statements)

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“…e denoising method proposed in this paper can effectively avoid the adverse effects of noise on reconstruction results. It is worth noting that the reconstruction accuracy is higher than that of [9,10] mainly because the length of the refracted light path inside the transparent object becomes longer with the increase of the thickness of the transparent object, and the deformation degree of the Gray code becomes more obvious.…”

Section: Experimental Evaluation Of the Measurement Modelmentioning

confidence: 99%

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[Retracted] Detecting Distance between Surfaces of Large Transparent Material Based on Low‐Cost TOF Sensor and Deep Convolutional Neural Network

Zou

Zhang

et al. 2021

Advances in Materials Science and Engineering

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Detecting distance between surfaces of transparent materials with large area and thickness has always been a difficult problem in the field of industry. In this paper, a method based on low-cost TOF continuous-wave modulation and deep convolutional neural network technology is proposed. The distance detection between transparent material surfaces is converted to the problem of solving the intersection of the optical path and the transparent material’s front and rear surfaces. On this basis, the Gray code encoding and decoding operations are combined to achieve distance detection between surfaces. The problem of holes and detail loss of depth maps generated by low-resolution TOF depth sensors have been also effectively solved. The entire system is simple and can achieve thickness detection on the full surface area. Besides, it can detect large transparent materials with a thickness of over 30 mm, which far exceeds the existing optical thickness detection system for transparent materials.

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Section: Experimental Evaluation Of the Measurement Modelmentioning

confidence: 99%

“…e drawback of this method is that the distance detection system is very difficult to adjust and correct. e optical triangulation method [8][9][10][11] uses the principle of the difference in displacement between the upper and lower surfaces of the transparent material. e system is simple, convenient, and effective.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Detecting Distance between Surfaces of Large Transparent Material Based on Low‐Cost TOF Sensor and Deep Convolutional Neural Network

Zou

Zhang

et al. 2021

Advances in Materials Science and Engineering

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show abstract

Modified method of laser triangulation

Adamov

Baranov

Khramov

et al. 2018

J. Phys.: Conf. Ser.

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The optimal parameters of the laser triangulation modified thickness meter

Adamov

Khramov

2019

J. Phys.: Conf. Ser.

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In this paper, we search for optimal installation parameters for measuring the thickness of biological tissues. We created the mathematical model of the meter and researched various configurations of the constituent parts of the model. We also proposed the methods for determining the optimal parameters and we found numerical values the most important cases. We considered different options for modifying the laser triangulation method and proposed a scheme of the measurement setup. We conducted experiments and represented the results obtained with computer processing too.

show abstract

Modification of the laser triangulation method for measuring the thickness of optical layers

Cited by 4 publications

References 1 publication

[Retracted] Detecting Distance between Surfaces of Large Transparent Material Based on Low‐Cost TOF Sensor and Deep Convolutional Neural Network

[Retracted] Detecting Distance between Surfaces of Large Transparent Material Based on Low‐Cost TOF Sensor and Deep Convolutional Neural Network

Modified method of laser triangulation

The optimal parameters of the laser triangulation modified thickness meter

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