期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：9
页码：294-299
DOI：10.35629/5252-0209236243
语种：English
出版社：IJAEM JOURNAL
摘要：Attendance plays a very important role in education institutions as well as in the corporate sectors. A student or an employee’s arrival and departure is recorded to enhance the efficiency. Even after so much evolvement in technology, most of the organizations as well as educational institutions maintains a manual record for attendance. In some organizations it was upgraded to digital attendance such as swiping the identity card, using digital signature or fingerprint. But these systems are not 100 percent secure. Face recognition is current trend now. The reason for this hype is its efficient implementation in various fields. And seeing the current scenario of covid-19, it has enhanced its value. It provides a functionality of detecting a face of a person and then recognizing him or her based on the trained set of data. Now there are various machine learning algorithms present based on which the system is trained to detect a face. For recognizing we need to train the system with a sample picture of that person and based on the trained data it will check whether the face shown in the webcam is matching any of the picture in the training set. If yes then it specifies the name of the person. For recording the attendance it first detects a face, then matches it with the database available and finally stores in the excel sheet with the time at which the face was detected.
