A classification and identification system for recyclable waste in university campuses based on WeChat mini programs

Chunhong Gu

doi:10.1117/12.2692017

23 August 2023 A classification and identification system for recyclable waste in university campuses based on WeChat mini programs

Chunhong Gu

Author Affiliations +

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127840U (2023) https://doi.org/10.1117/12.2692017
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

With the continuous development of higher education in China and the increasing population of college students, recyclable waste on university campuses has become an important component of urban household waste. This article leverages the advantages of today's popular WeChat mini programs and specifically combines the lifestyle habits of college students to provide users with a feasible solution for identifying what types of recyclable waste can be identified by taking photos of items. The user end of this system chooses WeChat mini program as the main platform, and uses Spring MVC, Spring, and Mybatis frameworks to develop the system management end. The database uses MySQL database. Image recognition is based on the ResNet-34 framework to develop image recognition algorithms. This system selects a Tomcat server for data exchange between the client and server. This study has a good driving and radiating effect on the classification and recycling management of recyclable waste in other social organizations.

Citation Download Citation

Chunhong Gu "A classification and identification system for recyclable waste in university campuses based on WeChat mini programs", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127840U (23 August 2023); https://doi.org/10.1117/12.2692017

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KEYWORDS

Classification systems

Databases

Data modeling

Image classification

Speaker recognition

System identification

Education and training

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