Paper
18 July 2023 Shipping label generation based on VGG19 network
Haifeng Wang, Tong Wu, Kun Yang, Yong Xiong
Author Affiliations +
Proceedings Volume 12744, Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023); 127442M (2023) https://doi.org/10.1117/12.2688707
Event: Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023), 2023, Nanjing, China
Abstract
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.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haifeng Wang, Tong Wu, Kun Yang, and Yong Xiong "Shipping label generation based on VGG19 network", Proc. SPIE 12744, Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023), 127442M (18 July 2023); https://doi.org/10.1117/12.2688707
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KEYWORDS
Education and training

Performance modeling

Feature extraction

Image processing

Optical character recognition

Deep learning

Network architectures

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