节点文献
基于人脸识别的医院智慧疫情防控平台应用研究
Application of face recognition based hospital intelligent outbreak prevention and control platform
【摘要】 在新冠肺炎疫情的背景下,结合医院人员特点,设计实现智慧疫情防控平台。采用JavaEE等技术开发的系统平台利用人脸识别测温设备,收集数据;后台管理系统实现人员管理、信息统计分析等;用户通过微信小程序在线申请陪护。疫情防控平台给来往医院的人员带来了极大便利,有效地提高了医院资源的利用率,同时降低了感染新冠肺炎的风险,减轻了防疫工作量,为疫情防控提供了有力的保障。
【Abstract】 A smart outbreak prevention and control platform is designed and implemented for outbreak prevention of the COVID-19 pandemic. The system platform developed by Java EE and other technologies uses face recognition and temperature measurement equipment to collect data; the background management system realizes personnel management, information statistics and analysis,etc.; users apply for accompanying online via WeChat Mini Program. The outbreak prevention and control platform has brought great convenience to the patients, their accompaniers and staff in the hospital, effectively improved the utilization of hospital resources, reduced the risk of infection with new coronary pneumonia, reduced the workload of COVID-19 pandemic prevention,and provided a strong guarantee for the outbreak prevention and control.
【Key words】 face recognition; outbreak prevention and control; platform; smart hospital;
- 【文献出处】 计算机时代 ,Computer Era , 编辑部邮箱 ,2022年01期
- 【分类号】R197.3;TP391.41;TP311.56
- 【被引频次】4
- 【下载频次】1323