UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404706


Registration ID:
537094

Page Number

h38-h46

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Title

INTELLIGENT SYSTEM FOR IDENTIFICATION CARD DETECTION AND AUTHENTICATION

Abstract

The proposed project focuses on developing a comprehensive identification card recognition system tailored for educational institutions and organizational environments. Leveraging advanced object detection techniques and deep learning algorithms such as Viola Jones, LBPH, and YOLO, the system aims to identify individuals wearing their designated ID cards in real-time. Through a structured methodology, which includes training student faces and matching them with corresponding ID card images, the system enables seamless attendance tracking and enforcement of organizational policies. The architecture encompasses an enrollment phase, image capturing, training, comparison, and violation handling, ensuring robust security measures and accountability. Violations, such as individuals without ID cards, prompt notifications to administrators for identity approval, enhancing organizational integrity. Results demonstrate the efficacy of the system in accurately detecting individuals with their own ID cards and marking attendance efficiently. The project underscores the significance of identification cards in organizational security, offering practical solutions for enhancing access control and ensuring compliance. Future enhancements may include scalability, adaptability, and addressing potential challenges in recognition accuracy under varying environmental conditions. Overall, the project contributes to the advancement of identification card recognition technology, with implications for educational institutions, offices, and examination centers.

Key Words

LBPH algorithm, YOLO algorithm, Attendance tracking, Organizational security, Facial recognition, Enrollment process, Violation handling, Real-time monitoring, Notification system.

Cite This Article

"INTELLIGENT SYSTEM FOR IDENTIFICATION CARD DETECTION AND AUTHENTICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.h38-h46, April-2024, Available :http://www.jetir.org/papers/JETIR2404706.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"INTELLIGENT SYSTEM FOR IDENTIFICATION CARD DETECTION AND AUTHENTICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. pph38-h46, April-2024, Available at : http://www.jetir.org/papers/JETIR2404706.pdf

Publication Details

Published Paper ID: JETIR2404706
Registration ID: 537094
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: h38-h46
Country: Krishnarajapet, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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