Abstract
In response to the national waste classification policy, environmental protection and resource utilization, an automatic waste sorting system is designed, which can be divided into four aspects: mechanical structure, detection system, mobile terminal control system and multifunctional practical system. The system is based on image recognition technology, using artificial intelligence equipment, combining hardware and software to realize the automatic classification of garbage. The product is applied in the community or street. After users put the garbage into the sorting platform, the system will automatically identify the type of garbage and transport it to the corresponding garbage can. Through the application of the above system, on the basis of realizing automatic sorting, the problem of environmental pollution and waste of resources caused by unable to determine the type of garbage thrown in the wrong place can be solved. On the other hand, it can promote the residents’ awareness of waste classification, improve the recycling rate of waste, avoid the occurrence of secondary pollution, and provide an efficient information management means for the government to solve the problem of waste treatment and build a green circular economy.
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Provincial undergraduate innovation and entrepreneurship training program (s202010434080).
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Wang, Y., Pan, C., Cao, Y., Zuo, Q. (2022). Research on Automatic Garbage Sorting System Based on Artificial Intelligence. In: Li, X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_21
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DOI: https://doi.org/10.1007/978-3-030-81007-8_21
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Online ISBN: 978-3-030-81007-8
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