Realization of online detection algorithm for circularity of automobile electrical wiring terminal based on machine vision

Jialei Chen; Huan Wang; Zhikai Huang; Yuhao Liu; Jiasi Sun; Chaofan Yu

doi:10.1117/12.2674161

28 June 2023 Realization of online detection algorithm for circularity of automobile electrical wiring terminal based on machine vision

Jialei Chen, Huan Wang, Zhikai Huang, Yuhao Liu, Jiasi Sun, Chaofan Yu

Author Affiliations +

Proceedings Volume 12720, 2022 Workshop on Electronics Communication Engineering; 127200J (2023) https://doi.org/10.1117/12.2674161
Event: 2022 Workshop on Electronics Communication Engineering (WECE 2022), 2022, Xi'an, China

Abstract

In the process of manual detection of Automobile Electrical Wiring Terminal(AEWT) defects in industrial production, there are problems such as low detection efficiency, time-consuming and labor-intensive. This paper puts an online detection algorithm forwards for the circularity of AEWT based on machine vision. Firstly, video images were obtained, and the key frame was extracted by the inter-frame difference method; Then, the adaptive Canny operator was used to extract the edges of images in different color channels fused with the AND operation; finally, the circularity of the AEWT is calculated employed by the edge image, and the defective products are judged according to the calculation result. Experiments show that the online detection algorithm that we proposed for the circularity of the AWET can effectively distinguish the defective products, the detection time is less than 30ms, and the accuracy is higher than 98%, which can meet the needs of real-time detection in practical application scenarios.

Citation Download Citation

Jialei Chen, Huan Wang, Zhikai Huang, Yuhao Liu, Jiasi Sun, and Chaofan Yu "Realization of online detection algorithm for circularity of automobile electrical wiring terminal based on machine vision", Proc. SPIE 12720, 2022 Workshop on Electronics Communication Engineering, 127200J (28 June 2023); https://doi.org/10.1117/12.2674161

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KEYWORDS

Detection and tracking algorithms

Edge detection

Inspection

Tunable filters

Object detection

Machine vision

Digital filtering

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