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Research Article

EEO. 2021; 20(3): 3361-3365


Development Of Face Recognition Based Attendance System

Ishika Gupta, Manoj Diwakar, Anushka Tiwari.




Abstract

In any kind of organization, it is impossible to overstate the significance of showing up to meetings regularly. When recording attendance manually, it is simple to overlook a person or to count them more than once. A face recognition-based attendance system provides a solution to the problem of recognizing faces in order to collect attendance data by employing face recognition technology that is based on high-definition monitor video in addition to other information technologies. This technology enables the system to collect attendance data. A computer's ability to identify human faces in real time is referred to as "facial recognition," and the phrase describes this ability. The human brain possesses the capacity to instantly and unconsciously differentiate between numbers of different people's faces. However, at the level of the human brain, it is almost impossible for a computer to mimic all of the tough activities. The ability to identify an individual based on his or her face is an essential component of biometrics. The most fundamental aspects of human anatomy are connected to the most recent data in the field of biometrics. A variety of time-saving methods are utilised in order to extract and apply facial features.

Key words: face recognition, human anatomy, automatic attendance-taking system.






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