 |
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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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: October 2025
Volume 10 | Issue 10
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 : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 18099
Article Published : 7764
Total Authors : 20527
Total Reviewer : 747
Total Countries : 142
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Smart Attendance: Automated Facial Recognition System |
| Authors Name: | Nilam Honmane , Pranav Kadbane , Sujal Hande , Srushti Goyal , Amit Jadhav |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204597
|
| Published Paper Id: | IJRTI2506086 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | Automating the process of attendance management is essential for enhancing efficiency and accuracy in educational and professional settings. Traditional methods such as manual roll calls, RFID-based tracking, or fingerprint scanning often introduce delays and are prone to errors and misuse, including proxy attendance. This paper presents the design and implementation of a facial recognition-based attendance system that provides a contactless, reliable, and automated solution. Utilizing computer vision and machine learning, the system captures real-time facial images, identifies individuals through face encoding, and records attendance without manual intervention. The application is built using Python, OpenCV, and the face recognition library powered by dlib’s face recognition model. Experimental results demonstrate high recognition accuracy under standard lighting and environmental conditions. The system’s modular design enables easy deployment in environments such as classrooms, corporate offices, and secure facilities. This paper explores the system’s architecture, core functionalities, implementation methodology, encountered challenges, and potential areas for future enhancement. |
| Keywords: | |
| Cite Article: | "Smart Attendance: Automated Facial Recognition System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a727-a734, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506086.pdf |
| Downloads: | 000282 |
| 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: IJRTI2506086
Registration ID:204597
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a727-a734 Country: Pune, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506086 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506086 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||