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The Application of Computer Vision Technology in the Field of Industrial Automation

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2021 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 81))

Abstract

Computer vision technology, as the representative technology of the 21st century industry across the age, has had a significant impact on my country’s social and economic development and the quality of life of the people with the rapid development of my country’s modernization. The purpose of this article is to analyze the application of computer vision technology in industrial automation from the perspective of computer vision technology under the development of industrial vision. The method is based on the development and changes of the industrial foundation in the field of computing vision technology, and a deeper exploration of its practical application performance in the industrial automation industry.

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References

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Author information

Authors and Affiliations

  1. Hubei University of Technology, Wuhan, China

    Qian Cheng

Authors
  1. Qian Cheng
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Editor information

Editors and Affiliations

  1. Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia

    Jemal Abawajy

  2. School of Computer Engineering and Sciences, Shanghai University, Shanghai, China

    Zheng Xu

  3. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  4. Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA

    Xiaolu Zhang

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cheng, Q. (2021). The Application of Computer Vision Technology in the Field of Industrial Automation. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-030-79197-1_40

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