2022
DOI: 10.32397/tesea.vol3.n2.490
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High-speed 3D optical sensing for manufacturing research and industrial sensing applications

Abstract: This paper presents examples of high-speed 3D optical sensing for research and applications in the manufacturing community. Specifically, this paper will focus on the fringe projection technique as a special technology that can be extremely beneficial to manufacturing applications, given its merits of simultaneous high-speed and high-accuracy 3D surface measurements. This paper will introduce the basic principles of 3D optical sensing based on the fringe projection technique as well as the enabled manufacturin… Show more

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Cited by 9 publications
(4 citation statements)
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“…Each of these metrics is a measure of different aspects of surface roughness, as mentioned above. The accuracy of using this acquisition method in comparison with other methods to measure roughness is validated in [26,33]. Additionally, the comparison between the actual surface morphology and morphology obtained from reconstruction is illustrated in section 4.…”
Section: Methodsmentioning
confidence: 99%
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“…Each of these metrics is a measure of different aspects of surface roughness, as mentioned above. The accuracy of using this acquisition method in comparison with other methods to measure roughness is validated in [26,33]. Additionally, the comparison between the actual surface morphology and morphology obtained from reconstruction is illustrated in section 4.…”
Section: Methodsmentioning
confidence: 99%
“…(vii) Kurtosis (S ku ): he fourth central moment of the amplitude probability function that represents the sharpness of the profile is called Kurtosis coefficient. [26,35,36] The measurement of roughness metrics using structured light has been performed by Windecker et al [37]. However, the system is highly complex and very large in size.…”
Section: Determination Of Roughness Metricsmentioning
confidence: 99%
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“…A Feature Paper can be an original research article or a comprehensive review of the latest advances in the field. In this issue, we have two such pieces: "Applications of Digital Twins in Power Systems: A Perspective" by Leila Kamyabi, Tek Tjing Lie, and Samaneh Madanian [3], and "High-speed 3D optical sensing for manufacturing research and industrial sensing applications" by Beiwen Li [4].…”
mentioning
confidence: 99%