摘要
随着社会经济的快速增长,环境保护问题开始受到社会各界的高度重视,垃圾资源的科学分类及有效利用是环境保护的重要方向。本文从智能垃圾分类系统设计角度出发,以树莓派作为图像采集、分类处理器,并进行了软件与算法设计,最后通过测试验证了该系统的工作质量。测试结果表明,在正常光背景下,该系统在实际垃圾分类工作中能够达到93.2%左右的准确率。
With the rapid development of social economy,environmental protection problems began to be highly valued by all walks of life,and the scientific classification and effective utilization of waste resources is an important direction of environmental protection.From the perspective of intelligent garbage classification system design,the raspberry pie as image acquisition,classification processor,and the software and algorithm design,finally tested the quality of the system,the test results show that under the background of normal light,the system in the actual garbage classification work can achieve the accuracy of 93.2%.
作者
李绘英
Li Huiying(Jiujiang Vocational University,Jiujiang 332000,China)
出处
《皮革制作与环保科技》
2023年第19期168-170,共3页
Leather Manufacture and Environmental Technology
基金
2020年江西省教育厅科学技术研究项目(GJJ203901)。
关键词
树莓派
智能垃圾分类
深度学习
卷积神经网络
Raspberry PI
intelligent garbage sorting
deep learning
convolutional neural network