基于图像识别技术的在校垃圾智能分类  

Intelligent Classification of Campus Waste Based on Image Recognition Technology

作　　者：沈婧旸 马昕雨 乔淑云[1] 朱晓曼 周子钰 Shen Jingyang;Ma Xinyu;Qiao Shuyun;Zhu Xiaoman;Zhou Ziyu(Xuzhou University of Technology,JiangsuXuzhou 221018)

机构地区：[1]徐州工程学院,江苏徐州221018

出　　处：《科技风》2022年第4期17-19,共3页

基　　金：江苏省徐州市科技计划重点研发(社会发展)项目:有机垃圾致病性微生物灭杀与腐熟制肥关键技术研究(No:KC20194);徐州工程学院大学生创新创业训练计划项目:大学校园垃圾分类回“家”智能管理系统设计(No:XCX2020057)。

摘　　要：在学校规模扩大、学生人数增加以及人民生活质量和生活水平提高的影响下,校园垃圾量急剧增加,校园垃圾如何处理的问题不容忽视。本文以徐州工程学院为例,结合大学校园生活垃圾具有产量大、分布集中、可回收利用价值高等特点,以垃圾分类回收更精准、可靠为目标,进行对智能垃圾分类系统的设计,让垃圾搬到新“家”,变“废”为宝。分析目前各高校的垃圾分类现状,并重点根据图像识别技术对校园垃圾智能分类系统的可行性进行综述,旨在为校园垃圾分类和人工智能的深度融合提供方案。Under the influence of the expansion of the size of the school,the increase of the number of students and the improvement of the quality and standard of living of the people,the amount of campus waste has increased sharply.How to deal with campus garbage can not be ignored.In this paper,taking Xuzhou University of Technology as an example,combined with the characteristics of campus household garbage such as large output,concentrated distribution,high recycling value and so on,we design the intelligent system of garbage classification to make refuse classification and recycling more accurate and reliable,so that the garbage can be putted into the recycling bins and waste can be turned into treasure.We analyze the current situation of garbage classification in colleges and universities,and summarize the feasibility of the intelligent system of campus garbage classification according to image recognition technology,which aim to provide a scheme for the deep integration of campus garbage classification and artificial intelligence.

关 键 词：校园垃圾分类 人工智能 图像识别 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]