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Surface defect detection algorithm of magnetic tiles based on multi⁃branch convolutional neural network
更新时间：2025-05-26

    • Surface defect detection algorithm of magnetic tiles based on multi⁃branch convolutional neural network

    • “In the field of magnetic tile surface defect detection, researchers have proposed a new algorithm that achieves a detection accuracy of over 99% and a detection speed of 129 pieces/minute through a multi branch network structure and attention module, meeting the real-time online detection requirements for large-scale production of magnetic tiles.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 5, Pages: 1449-1457(2023)
    • 作者机构：

      1.四川大学 机械工程学院，成都 610065

      2.成都航空职业技术学院，成都 610100

    • DOI：10.13229/j.cnki.jdxbgxb.20210855    

      CLC： TP391

    • Received：13 August 2021，

      Published：01 May 2023

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  • LIU Pei-yong,DONG Jie,XIE Luo-feng,et al.Surface defect detection algorithm of magnetic tiles based on multi⁃branch convolutional neural network[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(05):1449-1457. DOI： 10.13229/j.cnki.jdxbgxb.20210855.

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