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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    Title :

    Shipping label generation based on VGG19 network


    Contributors:
    Yu, Bin (editor) / Wang, Yun (editor) / Wang, Haifeng (author) / Wu, Tong (author) / Yang, Kun (author) / Xiong, Yong (author)

    Conference:

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


    Published in:

    Proc. SPIE ; 12744


    Publication date :

    2023-07-18





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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