Python实现基于深度学习的口罩检测技术  

Implementation of Mask Detection Technology Based on Deep Learning in Python

作　　者：蔡英鹏 何雨航 林浩辉 罗梦雨 黄堉钿 吴荣敏 

机构地区：[1]广东理工学院电气与电子工程学院,广东肇庆536000

出　　处：《工业控制计算机》2021年第11期117-117,154,共2页Industrial Control Computer

摘　　要：近年来,由于新冠肺炎疫情的突然爆发,利用口罩阻断病毒的传播成为首选的方式,而大型公共场所基本依赖人工检测是否佩戴口罩,既繁琐又存在疏漏的情况。随着深度学习和人工智能算法的不断精进,口罩检测系统将在各类大型公共场所得到更加广泛应用。提出一种Python实现基于深度学习的口罩检测技术。In recent years;novel coronavirus pneumonia has been the first choice for blocking the spread of virus due to the outbreak of new crown pneumonia.Large public places rely heavily on manual detection of wearing masks.With the continuous improvement of deep learning and artificial intelligence algorithm;mask detection system will be more widely used in all kinds of large public places.In this paper;a mask detection technology based on deep learning is proposed.

关 键 词：PYTHON 口罩检测 深度学习 人工智能 Tensorflow.js 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]