基于OpenMV垃圾分类的智能垃圾桶系统设计

Design of intelligent garbage can system based on OpenMV garbage classification

为了提高垃圾分类的工作效率,基于OpenMV设计智能垃圾桶分类系统。具体方法:通过OpenMV模块读取垃圾的颜色信息,利用BP神经网络进行颜色信息训练,得到垃圾颜色代表,将信息发送给单片机,单片机收集信息以控制舵机旋转,到达对应的垃圾分类槽,从而提高垃圾处理率。本文主要通过对垃圾分类进行颜色处理,对图像识别的研究进行了讨论,通过OpenMV摄像头采集图像信息,将识别后的信息处理之后,再通过串口通信传给单片机,单片机控制舵机转动进行垃圾槽选择,转至对应的分类垃圾槽,搭建Labview平台,显示与调试图像信息。

In order to improve the work efficiency of garbage classification,an intelligent garbage can classification system was designed based on OpenMV.Specific method:read the garbage color information through the OpenMV module,use BP neural network to train the color information,obtain the garbage color representation,send the information to the MCU,the MCU collects the information to control the steering gear rotation,and reach the corresponding garbage sorting slot,so as to improve the garbage disposal rate.This article mainly through the study of the color of the garbage classification processing,the research of image recognition is discussed,through collecting OpenMV camera image information,after will identify information processing,through a serial port communication to the single-chip microcomputer,single-chip microcomputer control steering gear rotation are junk slot selection,transferred to the corresponding classification junk slot,structures,Labview platform,the display and debug image information.