Attendance and Security Assurance using Image Processing

Raisha Shrestha, S. Pradhan, Rahul Karn, S. Shrestha
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引用次数: 3

Abstract

In Maximum number of educational institutions we can see prevailing system of attendance where attendance of students are taken manually by the professors calling out the names of the students. In some universities we can find RFID system present for attendance. The manual system of attendance is very time consuming and may not be much efficient as well. Whereas RFID based attendance is also not much reliable as we don't know if the RFID card is actually used by the student whom it belongs or not. Both existing techniques for attendance system have problems in it.So our paper has used Image Processing techniques and automated the attendance system where the attendance is taken by the system by recognizing the faces of the students. The system has dataset of known faces or students such that when any unknown face detected inside the classroom, he/she will be recognized as an intruder. This will safeguard the students from any kind of invasion or attack. In this paper we have discussed the techniques which can be used to implement image processing for automating the attendance system and assure security of the students.
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使用图像处理的考勤和安全保证
在最大数量的教育机构中,我们可以看到普遍的考勤系统,学生的出勤是由教授喊出学生的名字来手动进行的。在一些大学,我们可以发现RFID系统用于考勤。手工考勤系统非常耗时,而且效率可能也不高。然而,基于RFID的考勤也不太可靠,因为我们不知道RFID卡是否真的被学生使用。现有的考勤系统技术都存在一定的问题。因此,本文采用图像处理技术实现了考勤系统的自动化,系统通过识别学生的面部来记录考勤。该系统拥有已知面孔或学生的数据集,因此当在教室内检测到任何未知面孔时,他/她将被识别为入侵者。这将保护学生免受任何形式的入侵或攻击。本文讨论了实现考勤系统自动化的图像处理技术,以保证学生的安全。
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