Design and Research of a Magnetic Ring Device Recognition System Based on Mechanical Vision
In order to solve the problems of low efficiency and low accuracy in the recognition and detection of artificial magnetic ring devices, this paper constructs a machine vision based magnetic ring device recognition and detection system using Canny edge detection algorithm, OpenCV computer vision library, and Winform framework. This system uses high-resolution cameras and specific light source environments as media, supplemented by advanced image processing algorithms and feature extraction techniques, to achieve accurate recognition and classification of magnetic ring devices. Through experiments, the machine vision system can quickly and accurately identify and detect magnetic ring components, effectively improving the quality control level in the production process, reducing detection costs and error rates.
Authors
- Juexian Mo
- Yuting Zhu (ORCID: https://orcid.org/0000-0001-9789-4028)
- Caiyi Zhang
- Xin Hu (ORCID: https://orcid.org/0000-0001-5113-1869)
- Bingrong Miao (ORCID: https://orcid.org/0000-0001-9909-3873)
- Liang Lin (ORCID: https://orcid.org/0000-0002-3965-4103)
- Jing Liu (ORCID: https://orcid.org/0000-0002-4313-7272)
- Yujie Lai (ORCID: https://orcid.org/0000-0002-6006-1791)
- Yong Zhang (ORCID: https://orcid.org/0000-0001-9950-1793)
- Yu Wang (ORCID: https://orcid.org/0000-0002-8344-1586)
- Xinwen Zhang (ORCID: https://orcid.org/0000-0001-9867-6444)
- Yucan Chen
- Yutang Liu (ORCID: https://orcid.org/0000-0002-7571-1865)
- J.J. Mai
Institutions
- Guangdong Industry Technical College (CN)
- Guangzhou Vocational College of Science and Technology (CN)
- Guangdong Institute of Intelligent Manufacturing (CN)
- Southwest Jiaotong University (CN)
Publication Details
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1109/acctcs66275.2025.00086
- Primary Topic
- Surface Roughness and Optical Measurements
- Type
- article
- Field-Weighted Citation Impact
- 0.00