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Defect detection of small object solder joints based on improved YOLOv7
Image Processing | 更新时间：2024-10-09
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    • Defect detection of small object solder joints based on improved YOLOv7

    • “In the field of industrial inspection, researchers have proposed an improved YOLOv7 algorithm that significantly improves the detection accuracy of small target solder joint defects by adding a small target detection layer and a parameter free attention mechanism, providing a new solution for edge device detection.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 10, Pages: 1332-1340(2024)

    • DOI：10.37188/CJLCD.2024-0051    

      CLC： TP391.41

    • Received：26 February 2024，

      Revised：10 April 2024，

      Published：05 October 2024

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  • LIU Zhaolong, CAO Wei, GAO Junwei. Defect detection of small object solder joints based on improved YOLOv7[J]. Chinese journal of liquid crystals and displays, 2024, 39(10): 1332-1340. DOI： 10.37188/CJLCD.2024-0051.

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LIU Zhao-long
CAO Wei
GAO Jun-wei
CAO Jie
NIU Yu
LIANG Haopeng
CHEN Zekang
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Related Institution

Qingdao International Airport Group Co. LTD，Qingdao 2600300
College of Electrical and Information Engineering， Lanzhou University of Technology
College of Information Engineering， Lanzhou City University
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College of Engineering， Shantou University
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