File access control for multiple user system using Computer Vision

File access control for multiple user system using Computer Vision

Registration ID: IJNRD_218881

Published ID: IJNRD2404506

DOI: Click Here to Get

Nikhil Tatikonda

In recent years, the ubiquity of facial detection software, exemplified by technologies like Windows Face ID, Apple Face ID, and smartphone face unlock, has significantly elevated the standards of data security and access control. While these advancements have been pivotal in individualized device authentication, challenges arise when multiple users share a system, necessitating tailored solutions to safeguard private files and personalized data. In response to this, our paper proposes an innovative model that seamlessly integrates three key components. The first component involves precise Facial Recognition, leveraging unique facial features for individual user identification, thereby ensuring that access is limited to authorized individuals, whether unlocking a smartphone or accessing sensitive files. The second component, File and App Locking, addresses the paramount concern of privacy in shared systems, allowing users to protect specific files and applications, thereby thwarting unauthorized access and preserving confidentiality in communal settings. Finally, Basic Image Processing serves as the third component, playing a pivotal role in enhancing overall system accuracy and security. This step fine-tunes facial recognition algorithms, identifies potential vulnerabilities, and optimizes image quality by minimizing noise and improving clarity, contributing to a robust user authentication process. Through the integration of these three components, our model provides a comprehensive and adaptive solution, instilling confidence in users sharing devices while ensuring their privacy and data integrity are

Published Paper   E-Certificate

"File access control for multiple user system using Computer Vision", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f38-f43, April-2024, Available :https://ijnrd.org/papers/IJNRD2404506.pdf

Volume 9 Issue 4, April-2024

Pages : f38-f43

Paper Reg. ID: IJNRD_218881

Published Paper Id: IJNRD2404506

Downloads: 000121124

Research Area: Computer Science & Technology 

Country: HYDERABAD, TELANGANA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404506.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404506

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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