摘要
本文介绍了一种利用单片机控制摄像头采集投放的垃圾图像,利用OPENMV对图像进行处理,对垃圾进行智能分类的垃圾分类系统.本系统通过摄像头采集各类垃圾大量图片,利用神经网络技术对图像进行深度学习与训练,达到智能识别垃圾的的效果.本系统通过将深度学习与智能舵机云台、语音播报、垃圾满载检测、垃圾分类知识视频宣传等AI功能相结合,实现了垃圾的智能分类投放.本系统使用范围广,具有很大的市场前景和应用价值.
This paper introduces a garbage classification system that uses a single-chip microcomputer to control the camera to collect and put garbage images,uses OPENMV to process the images,and intelligently classify garbage.The system collects a large number of pictures of various types of garbage through the camera,and uses neural network technology to perform deep learning and training on the images to achieve the effect of intelligently identifying garbage.This system realizes the intelligent classification and delivery of garbage by combining deep learning with AI functions such as intelligent steering gear PTZ,voice broadcast,garbage full-load detection,and video publicity of garbage classification knowledge.The system is widely used and has great market prospect and application value.
作者
何婷婷
朱亚红
杨雪
HE Ting-ting;ZHU Ya-hong;YANG Xue(Chongqing Creation Vocational College,Chongqing 402160,China;Chongqing College Of Electronic Engineering,Chongqing 402160,China)
出处
《新一代信息技术》
2022年第7期31-33,共3页
New Generation of Information Technology
关键词
深度学习
图像处理
AI识别
OpenMV
垃圾智能分类
deep learning
image processing
AI recognition
OpenMV
intelligent garbage classification
作者简介
通讯作者:何婷婷(1991-),女,助教,电子信息工程师,研究方向:电气控制技术/电子信息技术;朱亚红(1985–),女,硕士研究生,副教授,高级技师,研究方向:自动控制技术;杨雪(1989–),女,助教,硕士研究生,研究方向:智慧物流。
