Zobrazit v EDS

SECURITY ENHANCEMENT WITH SMART DOOR UNLOCKING USING MACHINE LEARNING.

Uloženo v:
Podrobná bibliografie
Název: SECURITY ENHANCEMENT WITH SMART DOOR UNLOCKING USING MACHINE LEARNING.
Autoři: LAKSHMI, K. BHAGYA, MADDELA, AKSHAY, PALVAI, AKHIL, MUPPANA, LALITHA
Zdroj: i-Manager's Journal on Image Processing; Jan-Mar2021, Vol. 8 Issue 1, p7-11, 5p
Témata: HOME security measures, HUMAN facial recognition software, LOCKS & keys, SECURITY systems, MACHINE learning
Abstrakt: In this technologically advancing world, we not only require security for our data but we also need advanced security for homes. In this regard, one of the important aspects is the security enhancement using the smart door unlocking system. This smart door unlocking system uses face recognition using Raspberry Pi, for the purpose of locking or unlocking the door. Face recognition is one of the most secured systems than biometrics pattern recognition technique which is used in a large spectrum of applications. In this system, camera sensor is used for capturing the faces and an image matching algorithm is used to detect the authenticated face. For image matching we are using the LBPH (Local Binary Pattern Histogram) algorithm. This algorithm converts the image from color to a grayscale image, it then divides them into pixels and they will be stored in the matrix form in the database. When a person's face is matched, the Raspberry Pi microcontroller uses the solenoid lock to unlock the door. This system provides security and also makes door unlocking effortless for elders. The proposed system is robust from hacking attacks, as our proposed system uses the Machine Learning approach. [ABSTRACT FROM AUTHOR]
Copyright of i-Manager's Journal on Image Processing is the property of i-manager Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Biomedical Index
Popis
Abstrakt:In this technologically advancing world, we not only require security for our data but we also need advanced security for homes. In this regard, one of the important aspects is the security enhancement using the smart door unlocking system. This smart door unlocking system uses face recognition using Raspberry Pi, for the purpose of locking or unlocking the door. Face recognition is one of the most secured systems than biometrics pattern recognition technique which is used in a large spectrum of applications. In this system, camera sensor is used for capturing the faces and an image matching algorithm is used to detect the authenticated face. For image matching we are using the LBPH (Local Binary Pattern Histogram) algorithm. This algorithm converts the image from color to a grayscale image, it then divides them into pixels and they will be stored in the matrix form in the database. When a person's face is matched, the Raspberry Pi microcontroller uses the solenoid lock to unlock the door. This system provides security and also makes door unlocking effortless for elders. The proposed system is robust from hacking attacks, as our proposed system uses the Machine Learning approach. [ABSTRACT FROM AUTHOR]
ISSN:23494530