Shipping labels are an important component of logistics. It includes all the vital information to have packages successfully delivered. During the packaging and delivery processes, the shipping labels can be damaged, which poses a challenge to the effectiveness of the sorting machine. In this paper, a shipping label generation model based on VGG19 network is proposed. Our model first splits the images into shipping labels and then extracts the features of unreadable ones, finally different types of shipping labels applied such features are generated. To evaluate the performance of our model, we conduct experiments on the sorting machine using the generated 7,500 labels by the model. The results show that the generated labels can evaluate the sorting machine effectively, which demonstrates the encouraging performance of our model.


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    Titel :

    Shipping label generation based on VGG19 network


    Beteiligte:
    Yu, Bin (Herausgeber:in) / Wang, Yun (Herausgeber:in) / Wang, Haifeng (Autor:in) / Wu, Tong (Autor:in) / Yang, Kun (Autor:in) / Xiong, Yong (Autor:in)

    Kongress:

    Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023) ; 2023 ; Nanjing, China


    Erschienen in:

    Proc. SPIE ; 12744


    Erscheinungsdatum :

    18.07.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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