Classroom Attendance System based on Face Recognition
Author(s):
Pranav Gupte, Sheldon Rodrigues, Priya Singh, Anagha Shastri
Keywords:
MTCNN, Facenet, Face Detection, Face Recog- nition, Image processing
Abstract
Currently, teachers have to manually take the at- tendance of students leading to wastage of lecture time and detachment from the flow of lecture. The limitations in automated attendance systems making use of clickers, ID card swiping and manually marking attendance has prompted this project to be carried out. The Classroom Attendance System aims to facilitate classroom control and attendance by detecting and recognising students’ faces in a digital image or video taken by a camera. It designates the manual process of marking attendance by a lecturer to an automated system which saves time, removes paper dependency for marking attendance and ensures a more efficient mode of taking attendance. The main goal is to relieve the lecturers from taking attendance manually and automate the process. A camera is used as a source of data required for face detection. The background processing of the data is done on a remote computer wherein the complete list of students’ attendance is generated. The system also provides the tools that simplify the process of making custom face recognition models for different classrooms. It uses MTCNN for face detection and a pre-trained Facenet model for face recognition. The experimental results verify that FaceNet can meet the requirements of real-time recognition of highest accuracy and can be effectively applied to face detection and recognition in the Classroom Attendance System.
Article Details
Unique Paper ID: 160844

Publication Volume & Issue: Volume 10, Issue 1

Page(s): 1445 - 1451
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews