[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-26-07-2022-254

Title : Student Attendace Monitoring System Through Face Detection By Deep Learning
SivaNagiReddy Kalli, Soumya Malyala, Shravani Ankenpally, Mahathi Goteti

Abstract :

Face recognition is among the most productive image processing applications and has a major role in the technical field. Smart Attendance using Real time Face Recognition is a real world solution which comes with day to day activities of handling student attendance system. Aim of the project is to enhance the immediate attendance system of educational institution into well-organized way by building face detection software. The development of this system is aimed to manage digitization of the traditional system of taking attendance by calling names and maintaining pen and paper records. Present form of taking attendance is unexciting and time overwhelms .Attendance records can be easily influenced by manual recording. Our Proposed system verified to be an adequate and robust device for taking attendance in a classroom without any time exhaustion and manual work. The system developed is economical and need less install