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Defect detection of light guide plate based on improved YOLOv5 networks

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摘要 Light guide plate(LGP)is a kind of material used in the backlight module.How to improve the quality control of LGP has become the focus of research in the industry.To address issues such as low gray contrast and a high proportion of small target defects in LGP images,an improved you only look once version 5(YOLOv5)neural network based on multi-scale dilation convolution and a novel loss function is proposed.
出处 《Optoelectronics Letters》 EI 2024年第9期560-567,共8页 光电子快报(英文版)
基金 supported by the Development of Intelligent Sensing and Control System for Industrial Robots(No.BY2021258) the R&D and Industrialization of Complete Equipment for Automated Precision Assembly and Testing of Liquid Backplate Optical Modules(No.G20212028)。
关键词 NETWORK PLATE LIGHT
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