Research on Tire Groove Depth Detection System based on MVR

Feng Qian; Li Xingwen; Neng Zhu; Mingda Wang; Jie Wang; Xiaowei Xu; Beijia Zhang; Mengjie Liu; Qinghua Qi

doi:10.20944/preprints202209.0284.v1

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preprints.org > engineering > automotive engineering > doi: 10.20944/preprints202209.0284.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Research on Tire Groove Depth Detection System based on MVR

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Version 1 : Received: 19 September 2022 / Approved: 20 September 2022 / Online: 20 September 2022 (02:44:31 CEST)

How to cite: Qian, F.; Xingwen, L.; Zhu, N.; Wang, M.; Wang, J.; Xu, X.; Zhang, B.; Liu, M.; Qi, Q. Research on Tire Groove Depth Detection System based on MVR. Preprints 2022, 2022090284. https://doi.org/10.20944/preprints202209.0284.v1 Qian, F.; Xingwen, L.; Zhu, N.; Wang, M.; Wang, J.; Xu, X.; Zhang, B.; Liu, M.; Qi, Q. Research on Tire Groove Depth Detection System based on MVR. Preprints 2022, 2022090284. https://doi.org/10.20944/preprints202209.0284.v1

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MDPI and ACS Style

Qian, F.; Xingwen, L.; Zhu, N.; Wang, M.; Wang, J.; Xu, X.; Zhang, B.; Liu, M.; Qi, Q. Research on Tire Groove Depth Detection System based on MVR. Preprints 2022, 2022090284. https://doi.org/10.20944/preprints202209.0284.v1

APA Style

Qian, F., Xingwen, L., Zhu, N., Wang, M., Wang, J., Xu, X., Zhang, B., Liu, M., & Qi, Q. (2022). Research on Tire Groove Depth Detection System based on MVR. Preprints. https://doi.org/10.20944/preprints202209.0284.v1

Chicago/Turabian Style

Qian, F., Mengjie Liu and Qinghua Qi. 2022 "Research on Tire Groove Depth Detection System based on MVR" Preprints. https://doi.org/10.20944/preprints202209.0284.v1

Abstract

The change of tire groove depth will have a huge impact on tire performance, and the use of excessively worn tires is not conducive to the driving safety of automobiles. Tire groove depth detection has become one of the annual inspection items of automobiles, but the research on its related detection technology is still relatively backward. Based on the principle of monocular vision ranging (MVR), image processing technology and cloud platform technology, this paper develops a tire groove depth detection system, which realizes non-destructive detection of tire groove depth. In addition, the system uses the cloud platform to store the test results, and builds a multi-level data management system, allowing car owners to keep track of the tire wear status and historical changes, which is of great significance to ensuring driving safety.

Keywords

tire groove depth; MVR; cloud platform

Subject

Engineering, Automotive Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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