基于疫情防控下人脸识别在宿舍管理系统中的应用  

Application of Face Recognition in Dormitory Management System Based on Epidemic Prevention and Control

作　　者：韦大欢[1] Wei Dahuan(Beihai Vocational College,Beihai 536000)

机构地区：[1]北海职业学院,北海536000

出　　处：《现代计算机》2022年第3期82-86,共5页Modern Computer

基　　金：2019年度广西中青年教师科研基础能力提升项目(2019KY1594)。

摘　　要：当前,新冠肺炎席卷全世界,给高校学生管理工作带来了新的挑战。人脸识别是人工智能与计算机范畴中具备较强创新性与挑战性的核心内容之一,在相应的环境条件与用户配合下,人脸识别可以实现良好的识别效果。但是人脸识别经常会受到光照因素产生的不良影响,不能显示出非常明显的面部特点,不能对人脸成功识别。鉴于此,本文提出了人脸识别在学生宿舍管理系统中的具体应用方案,经过采用光照补偿、模板匹配等有关方法,可以使图像的精准度与清晰度得到提升,提高了人脸识别的成功率。At present,novel coronavirus pneumonia has swept the whole world,bringing new challenges to student manage⁃ment in higher vocational colleges.Face recognition is one of the core contents with strong innovation and challenge in the field of artificial intelligence and computer.With the cooperation of corresponding environmental conditions and users,face recognition can achieve good recognition effect.However,face recognition is often adversely affected by lighting factors,can not show very obvi⁃ous facial features,and can not successfully recognize faces.In view of this,this paper proposes a specific application scheme of face recognition in the student dormitory management system.Through the use of illumination compensation,template matching and other relevant methods,the accuracy and clarity of the image can be improved,and the success rate of face recognition is im⁃proved.

关 键 词：疫情防控 人脸识别 宿舍管理系统 

分 类 号：G647[文化科学—高等教育学] TP391.41[文化科学—教育学]