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High precision detection system for automotive paint defects
更新时间：2025-05-26

    • High precision detection system for automotive paint defects

    • “In the field of automotive painting, experts have proposed a paint defect detection system based on the improved YOLOv7 algorithm, which significantly improves the performance of detecting minor defects, with an average detection accuracy of 88.9%.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 5, Pages: 1205-1213(2024)
    • 作者机构：

      1.浙江大学 动力机械及车辆工程研究所，杭州 310014

      2.浙江吉利汽车有限公司，杭州 310051

      3.燕山大学 机械工程学院，河北 秦皇岛 066004

      4.龙泉产业创新研究院，浙江 龙泉 323700

    • DOI：10.13229/j.cnki.jdxbgxb.20231081    

      CLC： TP183

    • Received：10 October 2023，

      Published：01 May 2024

    移动端阅览

  • LU Yu-kai,YUAN Shuai-ke,XIONG Shu-sheng,et al.High precision detection system for automotive paint defects[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(05):1205-1213. DOI： 10.13229/j.cnki.jdxbgxb.20231081.

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