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基于VGGNet的垃圾分类识别APP实施方法

Implementation method of garbage classification andrecognition APP based on VGGNet
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摘要 目前,我国居民对垃圾分类的知识处于缺乏状态,当城市开始强制实施垃圾分类时,往往不了解不同类别垃圾所属的垃圾桶,导致垃圾分类的成本较高、实施困难。文章基于VGGNet卷积神经网络,实现安卓APP的拍照识别功能,让居民随时了解所丢垃圾所属分类,从而减少错误的垃圾分类,为居民的生活提供便利。 At present,the residents of China are in a lack of knowledge of garbage classification,when cities begin to enforce garbage classification,they often do not understand the garbage bins belonging to different types of garbage,which leads to the higher cost and difficulty in implementing garbage classification.This paper realizes the photo recognition function of Android APP based on VGGNet convolution neural network,so that residents can know the classification of garbage at any time,so as to reduce the wrong garbage classification and provide convenience for residents’life.
作者 梁炜 Liang Wei(College of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处 《无线互联科技》 2020年第14期31-33,共3页 Wireless Internet Technology
关键词 垃圾分类 VGGNet 卷积神经网络 安卓 APP garbage classification VGGNet convolution neural network android APP
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