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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21508
Article Published : 8513
Total Authors : 22399
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| Paper Title: | Face-Recognition Attendance Management System |
| Authors Name: | Mukesh Rajput , Thakurendra singh |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_185875
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| Published Paper Id: | IJRTI2304081 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | http://doi.one/10.1729/Journal.34511 |
| Abstract: | in an epidemic situation, poor attendance is a serious issue in schools and universities. The two primary conventional methods for keeping track of attendance are calling out the roll call or having Higher education institutions are currently concerned about students' attendance trends. Even pupils sign a piece of paper. Both of these demanded more time and effort. Consequently, a computer-based student attendance management system is required, allowing the teachers to automatically keep track of attendance. Using "TKINTER" and "PYTHON," we created an automated attendance system for this project. Our plans to construct an "Automated Attendance System Based on Facial Recognition" have been predicted. The application contains face recognition, which saves time. Also, because it is entirely software-based and uses less paper, it can be deemed environmentally beneficial. Because this system uses facial recognition as a biometric for verification, it also completely eliminates the possibility of false attendance. So, this technique can be used in a profession where attendance is crucial. The suggested system is built on the TKINTER platform and supported by a PYTHON script and a SQL database. The algorithm employed by the system is based on image comparison using the encoded values of the face from the database image and the image captured by the system in real-time. An excel sheet is the system's output format. |
| Keywords: | Attendance system, &Machine Learning, My SQL |
| Cite Article: | "Face-Recognition Attendance Management System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.492 - 498, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304081.pdf |
| Downloads: | 000205293 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2304081
Registration ID:185875
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.34511
Page No: 492 - 498 Country: Agra, UTTAR PRADESH, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304081 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304081 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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