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Abstract <p>The article presents an analysis of the use of machine learning technologies in the engineering industry. Specifically, the article provides an overview and systematization of studies on methods for assessing roughness parameters of machined surface texture using a combination of computer vision methods and artificial neural networks. Specific examples of the use of non-contact technologies for examining machined surfaces are considered, their advantages and disadvantages are outlined.</p>

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Overview of Methods for Assessing and Predicting Surface Texture Using Artificial Neural Network Technologies

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • A. N. Popov,
  • M. A. Glazunov

摘要

Abstract

The article presents an analysis of the use of machine learning technologies in the engineering industry. Specifically, the article provides an overview and systematization of studies on methods for assessing roughness parameters of machined surface texture using a combination of computer vision methods and artificial neural networks. Specific examples of the use of non-contact technologies for examining machined surfaces are considered, their advantages and disadvantages are outlined.