基于卷积神经网络的人脸口罩检测系统设计与实现

Design and Implementation of Face Mask Detection System Based on Convolutional Neural Network

随着互联网的发展,人工智能技术已经逐渐走入了人们的生活,随处都可以见到人工智能技术的影子.而人脸识别是人工智能技术的一个极为重要的研究方向,已经越来越受各个国家、地区的关注.其中,基于卷积神经网络进行深度学习的人脸识别技术已从实验研究阶段到日常应用阶段,人脸识别技术与公共交通行业的结合是重点发展方向,这样可进一步提高交通管理、运营效率及服务.疫情蔓延了全世界范围,人们的生活受到了严重影响,经历了疫情的人都能体会到它的可怕,为了预防疫情,出行必须佩戴口罩,因此在公共出行方面实时检测是否佩戴口罩变得极为重要.主要是设计了集合人脸识别和口罩检测的系统,在公共交通出行方面有较好的应用前景.

With the development of the Internet,artificial intelligence technology has gradually entered our life,the shadow of artificial intelligence technology can be seen everywhere.Face recognition is a very important research direction of artificial intelligence technology,which has attracted more and more attention from various countries and regions.The face recognition technology based on convolutional neural network for in-depth learning has been from the experimental research stage to the daily application stage.The combination of face recognition technology and public transport industry is the key development direction,which can further improve traffic management,operation efficiency and service.With the epidemic has spread all over the world,people’s lives have been seriously affected.People who have experienced the epidemic can realize its terrible.In order to prevent the epidemic,they must wear masks when traveling.Therefore,it becomes extremely important to detect whether they wear masks in real time in public travel.In this paper,a system integrating face recognition and mask detection is designed,which has a good application prospect in public transportation.