邵辉


摘 要:针对当前考勤工作中存在的时效性不强、工作复杂、记录麻烦、修改查询工作繁杂等情况,本系统提出并设计了一种基于人脸识别技术和本地蓝牙实时定位技术的智能考勤助手,它通过纪律委员携带的蓝牙终端模块完成学生在教室范围内的定位,加上人脸识别辨识学生身份来完成学生的课堂考勤,有效地减轻了课堂考勤工作。本系统实施简单、方便、快捷,并且能够对数据及时进行电子化保存,为后续的考勤记录的查询、修改打下了很好的基础,可以实现快速检索、修改等功能。本系统的实施是智慧职教的重要组成部分,为职业院校的智慧管理提供了一种智慧考勤的管理方法。
关键词:智慧职教 考勤 人脸识别 蓝牙定位 大数据
文献标识码:A 中图分类号:TP301.6
Design of Intelligent Attendance Assistant Based on Face Recognition and Bluetooth Positioning
SHAO Hui
(Guangdong Polytechnic Science and Technology, Zhuhai, Guangdong Province, 519090 China)
Abstract:Aiming at the current time and attendance work, the timeliness is not strong, the work is complicated, the record is troublesome, and the modification and query work is complicated. This system proposes and designs an intelligent attendance assistant based on face recognition technology and local bluetooth real-time positioning technology. The bluetooth terminal module carried by the disciplinary committee completes the positioning of the students in the classroom, and the face recognition recognizes the student's identity to complete the student's classroom attendance, which effectively reduces the classroom attendance work. The system is simple, convenient and fast to implement, and it can save the data electronically in time, laying a good foundation for subsequent inquiry and modification of attendance records, and can realize functions such as fast retrieval and modification. The implementation of this system is an important part of smart vocational education, and provides a smart attendance management method for the smart management of vocational colleges.
Key Words: Wisdom vocational education; Attendance; Face recognition; Bluetooth positioning; Big Data
当前所有高校上课或多或少都会开展考勤工作,一般考勤工作由教师或者纪律委员来负责实施,通常此种考勤工作为人工进行,纸质记录或者之后再进行人工电子表格输入记录。因此当前的考勤工作主要依靠教师或者纪律委员对工作认真负责的态度以及学生自律,一旦教师或者纪律委员敷衍了事、学生故意采取多种手段欺骗均有可能导致出现错误的考勤记录。另外,因为人工考勤的记录需要由各位教师或者纪律委员按期上报,还需要针对是否请假等情况进行核实认定,如此才能真正对考勤情况进行公示。因此人工考勤时效性不强,必须等待一段时间才能知道结果。……