| 学生宿舍人脸识别考勤系统设计 |
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| 引用本文： | 吴永斌,濮永仙,肖坤娥,虞 泉,袁铭举,吴兴蛟.学生宿舍人脸识别考勤系统设计[J].教育技术导刊,2020,19(6):113-116. |
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| 作者姓名： | 吴永斌 濮永仙 肖坤娥 虞 泉 袁铭举 吴兴蛟 |
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| 作者单位： | 1.德宏师范高等专科学校 信息学院，云南 德宏 678400；2. 华东师范大学 计算机科学与技术学院，上海 200062 |
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| 基金项目： | 德宏师范高等专科学校校级项目（XJ201810） |
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| 摘 要： | 为规范学生宿舍管理，保障学生人身安全，采用人脸识别技术，结合目前通用的软件开发方式与数据库技术，基于云服务器数据处理和移动设备终端，设计开发一套智能化学生宿舍考勤系统。该系统可有效解决现阶段高校学生宿舍考勤难的问题，相较传统考勤管理方式，新方法将考勤效率提升约 50%。基于人脸识别的学生宿舍考勤系统可有效提升学生宿舍考勤管理效率。
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| 关 键 词： | 宿舍考勤系统 人脸识别 人工智能 |
| 收稿时间： | 2019-09-03 |
The Design of Student Dormitory Attendance System Based on Face Recognition |
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| WU Yong-bin,PU Yong-xian,XIAO Kun-e,YU Quan,YUAN Ming-ju,WU Xian-jiao.The Design of Student Dormitory Attendance System Based on Face Recognition[J].Introduction of Educational Technology,2020,19(6):113-116. |
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| Authors: | WU Yong-bin PU Yong-xian XIAO Kun-e YU Quan YUAN Ming-ju WU Xian-jiao |
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| Institution: | 1. Dehong Teachers’College，College of Information Technology，Dehong 678400，China； 2. School of Computer Science and Technology，East China Normal University，Shanghai 200062，China |
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| Abstract: | In order to standardize the management of student dormitory and protect the personal safety of students，this paper adopts face recognition technology，combines the current common software development methods with the database technology to design and develop a set of intelligent student dormitory attendance system based on cloud server data processing and mobile device terminals. The system effectively solves the problem of attendance at college students’dormitory at the present stage. Compared with the traditional method of attendance management，the new method improves the attendance efficiency by about 50%. The face recognition-based student dormitory attendance system can effectively improve student dormitory attendance management efficiency. |
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| Keywords: | dormitory attendance system face recognition artificial intelligence |
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