PriMera Scientific Engineering (ISSN: 2834-2550)

Review Article

Volume 2 Issue 2

Recognition and Maintenance of Attendance Management System using Artificial Intelligence over Machine Learning via Biometric System

Susmitha Mukund Kirsur*

February 02, 2023

Abstract

We are living in an automated world where technical advancements are taking place and devices are connected to cyber. There has been a technical evolution in internet of things, image processing, and machine learning. Drastic change in the systems to achieve the accurate results is the trend. Evolution of Technical advancements has led to changes in education system. Considerable advancements have to be done on the Attendance marking in a classroom during a lecture is not only a onerous task but also a time consuming one at that. Proxy attendance(s) has been increased because of increase in the number of students. The traditional methods aren’t efficient way of marking the accurate attendance results, hence an advanced face recognition using the Artificial Intelligence is introduced in this research work. In recent years, the problem of automatic attendance marking has been widely addressed using standard biometrics like fingerprint and Radio frequency Identification tags etc., However, these techniques lack the element of reliability. The attendance system is a typical example of this transition, starting from the traditional signature on a paper sheet to face recognition. This paper proposes a method of developing a comprehensive embedded class attendance system using facial recognition with controlling the door access. In this proposed work an automated attendance marking, and management system is proposed by making use of face detection and recognition algorithms. Instead of using the conventional methods, this proposed system aims to develop an automated system that records the student’s attendance by using facial recognition technology.

Keywords: Advancements; Artificial Intelligence; Biometrics; Convolution Methods; Cyber; Face recognition technology; Machine learning

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