家庭垃圾分类回收的智能垃圾桶设计  

Design of Smart Garbage Bin for Household Garbage Classification

作　　者：王兴朝 唐瑞尹 WANG Xingchao;TANG Ruiyin(College of Electrical Engineering,North China University of Science and Technology,Tangshan 063210;Department of Electronic Engineering,North China Institute of Aerospace Engineering,Langfang 065000)

机构地区：[1]华北理工大学,电气工程学院,唐山063210 [2]北华航天工业学院,电子与控制工程学院,廊坊065000

出　　处：《现代计算机》2021年第19期142-146,共5页Modern Computer

基　　金：河北省高等学校科学技术研究项目(No.ZD2020159)。

摘　　要：家庭垃圾的分类对于环境的治理和资源的重复利用具有重要意义,针对家庭垃圾分类效率低、人工成本高等问题,提出基于神经网络能够对家庭垃圾进行自动分类回收的智能垃圾桶。该垃圾桶以树莓派作为控制核心,通过部署在其上的神经网络对图像中的垃圾进行分类识别,再通过控制系统依据神经网络的识别结果将垃圾丢入相应类别的回收桶中。经实验证明,垃圾桶运行稳定、成本低,对家庭垃圾分类回收的准确率达到90%左右,实现了家庭垃圾分类回收过程的智能化和自动化,降低了人工成本。The classification of household garbage is of great significance for environmental governance and resource reuse. Aiming at the low efficiency and high cost of household garbage classification,an intelligent garbage bin based on deep learning is proposed to automatically classify household garbage. With raspberry PI as the control core,the garbage in the image is classified and recognized by the neural network,and then the garbage is put into the corresponding recycling bins by the control system according to the recognition results of the neural network.The experiment proves that the garbage can has stable operation and low cost,and the accuracy of household garbage sorting and recycling reaches about 90%,which realizes the intelligence and automation of household garbage sorting and recycling process and reduces the labor cost.

关 键 词：垃圾分类 神经网络 树莓派 垃圾桶 

分 类 号：X799.3[环境科学与工程—环境工程]