Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM17107
Volume:
6 |
12 |
Dec 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Whenever it comes to attendance, the two best biometrics are face and fingerprint. They are the most unique in a human being. The security and accuracy are also maintained as for marking the attendance the person himself/herself has to be present. But as far as time factor is concerned the facial recognition takes an edge over fingerprint. One of the most important as well as demanding is attendance marking in any school, college or any organization where group of people work. However, the traditional techniques of calling out the name and manually marking the attendance are time consuming and tedious. This particular project has been designed and implemented aiming eliminating all above concerns. The help of open-CV technology has been taken. A face recognition module has been created and also locating the face landmarks and encoding the image data provided is also part of initial part of designing. Webcam has been used to capture images.
KEYWORDS
Publication Date
12/11/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
1
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...