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An attendance monitoring system using facial recognition uses a camera to capture images of individuals, which are then processed by a computer program to identify specific individuals based on their facial features.The system can then compare the identified individuals to a pre-existing database of known individuals and determine whether they are present or absent.This technology can be used in various settings, such as schools, offices, and factories, to streamline the attendance-taking process and reduce the potential for human error.Additionally, facial recognition can also be integrated with other technologies, such as time and attendance software, to provide a more comprehensive attendance management solution.It uses the latest technology and recognition of deep learning algorithms to make attendance smarter, creating a system that detects and recognizes the faces of students in the classroom or organization."The human face is the most anterior portion of the human head.It refers to the area that extends from the superior margin of the forehead to the chin, and from one ear to another.".Facial identification is one of the biometric methods that must be made mandatory for this system.Based on this idea, it does it for an intelligent attendance system and takes less time than manual attendance system.This model will be a successful technology for attendance and student records.
Gupta et al. (Sat,) studied this question.