Open AccessAutomatic Attendance System using Face Recognition Technique
Author(s) -
Mayur Surve,
Priya Joshi,
Sujata Jamadar,
Mrs. Minakshi N. Vharkate
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a2644.059120
Subject(s) - attendance , computer science , facial recognition system , haar like features , interface (matter) , face (sociological concept) , face detection , graphical user interface , artificial intelligence , human–computer interaction , computer vision , pattern recognition (psychology) , operating system , social science , bubble , maximum bubble pressure method , sociology , economics , economic growth
Attendance system is very important in schools and colleges’ Manual attendance system has many difficulties like it may less accurate and critical to maintain. So, attendance system using face recognition technique increase the accuracy and also it required less time than other methods. There are many existing system for attendance such as face recognition using IoT, PIR sensors and so on. For face recognition, hardware devices also helpful. But challenge is that to maintain all the sensors properly without get damage. After studying all method and techniques we are trying to implement a system with Haar Cascade Algorithm which has highest accuracy among all. It is able to capture the images from 50-70cm. We are creating graphical user interface which capture the images, create the dataset and train the dataset on single click. After recognizing the face it will display name of student and roll number. That information stored in attendance sheet automatically with time and date.