Surface texture defect recognition method of machined parts based on machine vision

Xiong, Renci

doi:10.1109/iaai51705.2020.9332868

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) 2020

DOI: 10.1109/iaai51705.2020.9332868

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Surface texture defect recognition method of machined parts based on machine vision

Renci Xiong

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2023

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“…The problem of control the correct laying of the carbon bundle on the mandrel when winding the pipe [1][2] can be solved by using a visual control tool based on machine vision technology [3][4][5].…”

mentioning

confidence: 99%

Vision system for monitoring process of winding cylindrical products with a carbon bundle

Сарамуд,

Спирин,

Талай

et al. 2023

Preprint

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The problem of control of a correct laying of carbon bundle on a mandrel is considered. A mandrel in the form of a cylindrical pipe is considered in the article. Software has been developed for automated analysis of controlled parameters (distances between points). The results obtained are preliminary and can be improved by: optimizing the camera position and lighting; taking into account camera distortion parameters; formation of a development of the surface of the sharpening with bundles.

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mentioning

confidence: 99%

Vision system for monitoring process of winding cylindrical products with a carbon bundle

Сарамуд,

Спирин,

Талай

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

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Surface texture defect recognition method of machined parts based on machine vision

Cited by 1 publication

References 10 publications

Vision system for monitoring process of winding cylindrical products with a carbon bundle

Vision system for monitoring process of winding cylindrical products with a carbon bundle

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