|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Class Attendance Monitoring System Using Face Recognition |
| Authors Name: | R. Thanmayi , Mrs. D. Anusha , A. Charan Teja , G. Nitish Mouli , V. Varun Raju |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_189885
|
| Published Paper Id: | IJNRD2303444 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | |
| Abstract: | Marking attendance in a classroom during a session is not only a tedious task but also a time consuming one. The presence of abnormally large number of students during the session leads to high chances of proxy attendance. Marking presence with conventional methods has been a complicated task. The increased demand in efficient and automatic techniques of marking attendance is a problematic aspect in the area of face recognition. Earlier, the issue of automatic attendance marking has been managed through standard biometrics like fingerprint, RFID, Iris Biometric, etc. Anyway, these techniques lack reliability. This paper endeavours to design an automated system that records the attendance with the usage of facial recognition. The system allows the user to post name, Id and images while adding a new student data and stores the images based on the coordinates of the face location in the database. A facial recognition model is trained based on the dataset of images. It initializes a K-Nearest Neighbors classifier with a specified number of neighbors and fits the model on the known faces and names. After training the model, attendance can be marked along with the time of registered students in an excel sheet which can be viewed and downloaded. |
| Keywords: | Face Recognition, Attendance marking, OpenCV, Flask, K-Nearest Neighbors. |
| Cite Article: | "Class Attendance Monitoring System Using Face Recognition", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e330-e335, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303444.pdf |
| Downloads: | 000118754 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2303444 Registration ID: 189885 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: e330-e335 Country: VISHAKHAPATNAM, ANDHRA PRADESH, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303444 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303444 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn