Paper Title
Web Enabled AI Based Facial Attendance Marking Platform
Article Identifiers
Authors
Kuldeep Singh Rajpoot , Utkarsh Saxena
Keywords
AI, facial recognition, LFW , facial attendance system,,Machine Learning
Abstract
The proposed project aims to create an automated facial recognition technology system for monitoring student attendance in the classroom. The issues with conventional attendance management will be resolved by this method, particularly in big classes where proxy attendance is frequently observed. The system aims to provide a state-of-the-art, practical, and scalable attendance-tracking solution. Some of its main benefits include facial recognition to track attendance, continuous observation to increase accuracy, and integration with security cameras to decrease proxy attendance. The automation of the system’s attendance tracking reduces human labor and boosts dependability and efficiency as compared to conventional methods. It employs a systematic process that includes actions like taking webcam pictures, identifying faces, comparing, and identifying them, as well as keeping track of attendance. A validation experiment is conducted to assess the effectiveness of the system.
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How To Cite (APA)
Kuldeep Singh Rajpoot & Utkarsh Saxena (May-2024). Web Enabled AI Based Facial Attendance Marking Platform. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), d617-d622. https://ijnrd.org/papers/IJNRD2405368.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : d617-d622
Other Publication Details
Paper Reg. ID: IJNRD_221476
Published Paper Id: IJNRD2405368
Downloads: 000121981
Research Area: Information TechnologyÂ
Country: Gwalior , Madhya Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405368.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405368
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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