Paper Title
File access control for multiple user system using Computer Vision
Article Identifiers
Authors
Nikhil Tatikonda
Keywords
Abstract
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
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How To Cite (APA)
Nikhil Tatikonda (April-2024). File access control for multiple user system using Computer Vision. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), f38-f43. https://ijnrd.org/papers/IJNRD2404506.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : f38-f43
Other Publication Details
Paper Reg. ID: IJNRD_218881
Published Paper Id: IJNRD2404506
Downloads: 000121983
Research Area: Computer Science & TechnologyÂ
Country: HYDERABAD, TELANGANA, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404506.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404506
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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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