Face Recognition based Automatic Attendance Updating System

Abstract

The current methods for taking attendance are inconvenient and time-consuming. Manual recording allows for easy manipulation of attendance records. A smart and validated attendance system is needed to tackle this problem. In smart attendance systems, face identification, fingerprints, Genetic material, retina, eye retina, gesture recognition, and other biometrics are often used. Humans can be identified by their faces, which have distinguishing traits. Face recognition is one of the most useful image processing applications, and it plays an important part in the technical world. The recognition of a human face is a hot topic for verification reasons, particularly in the context of school attendance. A face detection and recognition attendance system uses face biostatistics known for high monitoring and other computing technologies to identify students. The purpose of creating this system is to replace the traditional technique of documenting attendance by calling names and storing pen-and-paper records with a digital version. An innovative solution for a face recognition-based automatic attendance system is presented in this study. The findings are tabulated in an excel file, and students' attendance is processed depending on the date from the excel file, and relevant conclusions are drawn from this.