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Research and Optimization of Camera Automatic Dust Removal Device Based on Intelligent Control Technology

Zinan Chen1,*, Hao Deng 1 and Zhenyi Zhang1
1 Southeast University Cheng Xian College, Nanjing, Jiangsu, China * Correspondence: Zinan Chen, Southeast University Cheng Xian College, Nanjing, Jiangsu, China

Vol. 3 (2025): 2025 2nd International Conference on the Frontiers of Social Sciences, Education, and the Development of Humanities Arts(EDHA 2025)

Received: 2026-05-16

Accepted: 2026-05-16

Published: 2026-05-16

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Abstract

The purpose of this paper is to discuss in depth the automatic camera dust removal device based on intelligent control technology. Through the analysis and comparison of different cleaning solutions, the robotic arm cleaning solution is selected and its technical principle, control strategy, application status and limitations are elaborated in detail. Further proposed targeted optimization measures, in order to enhance the performance of the camera automatic dust removal device to provide a theoretical basis and technical reference, to promote the continuous development of the field of technology and wide application.

Keywords

automatic camera dust removal intelligent control robotic arm technology optimization

References

[1] Y. L et al., "Design and prototyping of cleaning systems for cylinder head and engine block conveying lines," SAE Tech. Pap., no. 2018-01-1387, 2018, doi: 10.4271/2018-01-1387.

[2] A. Sayyah, M. N. Horenstein, and M. K. Mazumder, "Energy yield loss caused by dust deposition on photovoltaic panels," Sol. Energy, vol. 107, pp. 576–604, 2014, doi: 10.1016/j.solener.2014.05.030.

[3] V. K. Sivakumar, et al., "An automated retrofittable street light solar panel cleaner," J. Phys.: Conf. Ser., vol. 1831, no. 1, IOP Publishing, 2021, doi: 10.1088/1742-6596/1831/1/012023.

[4] L. Zhao, et al., "Design of an industrial IoT-based monitoring system for power substations," IEEE Trans. Ind. Appl., vol. 55, no. 6, pp. 5666–5674, 2019, doi: 10.1109/TIA.2019.2940668.

[5] D. Gao and L. Wang, "An implementation of intelligent substation monitoring system based on Internet of things," J. Comput. Methods Sci. Eng., vol. 19, no. 1_suppl, pp. 219–226, 2019, doi: 10.3233/JCM-191031.

[6] S. Banihashemi and J. Zhang, "Soft sensing image analysis and processing method of substation equipment defects," Int. J. Appl. Inf. Manag., vol. 3, no. 4, pp. 154–161, 2023, doi: 10.47738/ijaim.v3i4.64.

Copyright and License

Published in2026-05-16 16:24:21

DOI 10.70088/tes1mz50.

Creative Commons
Copyright: © 2025 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/license s/by/4.0/).

Copyright
Copyright © The Author(s), 2025. Published by EDHA 2025

Journal Information

  • Vol. 3 (2025): 2025 2nd International Conference on the Frontiers of Social Sciences, Education, and the Development of Humanities Arts(EDHA 2025)
  • 2026-05-16
  • ISSN: (Print) 3078-770X/ (Online) 3078-7718
  • Journal Homepage

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