Face-App: A real-time face recognition e-attendance system for digital learning

Abstract

Attendance is essential for every organization e.g., schools, colleges, universities, and companies. It is exhausting taking attendance in every period. General attendance management system in any organization is a very long process as well as time-consuming, which can piss students/staff off. Nowadays, biometric attendance systems are also accessible. This system may offer various advantages to enterprises, however also has many drawbacks; time-consuming, costs, data breaches, false positives and inaccuracy, no remote access, and many more. This paper deals with the process of taking the attendance using a face recorded camera and Face-App software tool will be complete the further attendance makes the process for staffs and students in an easy and simple manner within a short time. This proposed system (Face-App) uses face detection for the identification of faces from objects (e.g., students and staff), and a face recognizer for matching the faces from stored database images (authentication), and marks attendance according to the matched face images. Face-App system, which can be, controlled using mobile or computer according to requirements. Automated systems help to reduce the need for manual labor and can correct errors on attendance sheets.