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Express packaging cycle machine based on artificial intelligence

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Published:03 May 2024Publication History

ABSTRACT

The high speed development of network and information technology make people's way of life, especially the consumption pattern change, online shopping offline receiving model has been accepted by the public, express number surge, followed by a lot of express package not effective processing, caused serious environmental pollution and waste of resources, user recycling consciousness is not high, action is not strong has become the need to solve social problems. In view of these problems, this paper proposes and realizes a highly automated express packaging classification, recycling and shared intelligent station. This equipment using intelligent identification technology, data analysis, green energy applications, user participation and a variety of express packaging to innovation, to express packaging classification recycling and sharing, to reduce waste environmental pollution, reduce the burden on the environment, at the same time for the use of other express packaging sharing services, contribute to environmental protection. The device also uses renewable energy sources, such as solar and wind power, to provide sustainable energy for power supply, reducing energy consumption and carbon emissions. In addition to identifying and classifying recycling functions, the study also designed reward and sharing mechanisms to encourage users to actively participate in packaging classification recycling and shared utilization, and promote the formation of green lifestyle and community culture.

References

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  1. Express packaging cycle machine based on artificial intelligence

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    • Published in

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      IoTAAI '23: Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence
      November 2023
      902 pages
      ISBN:9798400716485
      DOI:10.1145/3653081

      Copyright © 2023 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 3 May 2024

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