Open AccessImplementation of GUI for Class Attendance using Face Detection and Recognition System
Author(s) -
R Karthikeyan,
G Nalinashini,
R. Chithrakkannan,
Karthik Ganesh Mohanraj,
B. Umamaheswari
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a9122.119119
Subject(s) - attendance , computer science , class (philosophy) , process (computing) , user friendly , multimedia , human–computer interaction , machine learning , artificial intelligence , data science , operating system , economics , economic growth
In present years, improvements are made in teaching learning process by using digital systems. Class attendance is a indicator of student attentiveness, participation in academics and the interest the teacher creates in a particular subject. Quantitative analysis are carried out worldwide to understand the drop out percentage. Manual attendance may be a erroneous, time consuming process in which favour can also be done to a certain extent marking fake attendance. In this paper we propose a cost effective method to understand the attendance pattern of a student by use of face detection and recognition system where many features like lips, nose, iris etc. are distinct and data captured needs good computational analysis for recognition. In this paper we propose an automated class attendance system by creating a simple and user friendly GUI using LabVIEW software. The usefulness of this system will ensure error free attendance and will improve the teaching learning process by increase in lecture time and monitoring class attendance efficiently.