Paper Title
Verification of Student Uniform by Convolutional Neural Network through Images
Article Identifiers
Authors
Long Huynh Hoang , Linh Nguyen Hoang Anh
Keywords
Uniform verification, Convolutional Neural Networks, Image classification, Clothes Detection
Abstract
Uniform verification holds critical significance in various sectors like law enforcement, healthcare, and hospitality, ensuring security and professionalism. Manual inspection methods often exhibit inefficiencies and inaccuracies, necessitating automated solutions. This project proposes a novel Convolutional Neural Networks (CNNs) approach for real-time uniform detection and authentication. By harnessing deep learning algorithms, our system achieves exceptional accuracy, notably 91\%, enhancing efficiency and mitigating manual inspection burdens. Extensive experimentation validates the efficacy of our CNN-based solution, showcasing its potential for diverse deployments. Beyond enhancing uniform verification reliability, our system lays groundwork for advancing AI-driven object recognition, security surveillance, and automated inspection systems. This research contributes to evolving AI applications, fortifying security and trust within uniformed environments, and paving the way for automated authentication and verification systems' future developments.
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How To Cite (APA)
Long Huynh Hoang & Linh Nguyen Hoang Anh (May-2024). Verification of Student Uniform by Convolutional Neural Network through Images. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), d659-d664. https://ijnrd.org/papers/IJNRD2405375.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : d659-d664
Other Publication Details
Paper Reg. ID: IJNRD_221586
Published Paper Id: IJNRD2405375
Downloads: 000121991
Research Area: Science & Technology
Country: Ninh Kieu, Can Tho, Viet Nam
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405375.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405375
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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