Paper
14 March 2022 Research on the traceable intelligent garbage classification system based on voice interaction
Yanyan Wang, Ying Lin, Xiaohong Yin, Junlong Fang, Zhaoji Lu, Kunyu Li, Guohao Luo
Author Affiliations +
Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121651Z (2022) https://doi.org/10.1117/12.2627872
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China
Abstract
At present, garbage classification mainly depends on manual work, with large classification workload, low efficiency and low user participation rate. Under the background of the gradual popularization of smart home in people's life, aiming at the unsatisfactory implementation of waste classification, a kind of traceable intelligent garbage classification system based on voice interaction was developed in this work. The voice interactive flexible garbage sorting bin in the system can realize automatic movement of the partition to adjust the regional capacity, and automatically recognize the garbage type by voice, so that users can start classification at home. In addition, the encrypted QR code was adopted to track the user's information so as to supervise the garbage classification and solve the first half of the problem of garbage classification.
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Yanyan Wang, Ying Lin, Xiaohong Yin, Junlong Fang, Zhaoji Lu, Kunyu Li, and Guohao Luo "Research on the traceable intelligent garbage classification system based on voice interaction", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121651Z (14 March 2022); https://doi.org/10.1117/12.2627872
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KEYWORDS
Classification systems

Intelligence systems

Speaker recognition

Sensors

Tolerancing

Ultrasonics

Speech recognition

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