Bank Locker Security System Using Machine Learning

Year : 2024 | Volume :02 | Issue : 01 | Page : 16-20
By

Prajakta Medhekar,

Mandar Shahane,

Karan Rajiwade,

Rohit Gadhave,

B.M. Borhade,

  1. Student, Department of Computer Engineering, RD’ Shri Chhatrpati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
  2. Student, Department of Computer Engineering, RD’ Shri Chhatrpati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
  3. Student, Department of Computer Engineering, RD’ Shri Chhatrpati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
  4. Student, Department of Computer Engineering, RD’ Shri Chhatrpati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
  5. HOD, Department of Computer Engineering, RD’ Shri Chhatrpati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India

Abstract

The Bank Locker Security System integrates cutting-edge technology solutions to strengthen the security of bank locker facilities. This system uses biometric identification techniques, such as facial recognition and fingerprint scanning, to confirm users’ identities before granting them access to the lockers. Furthermore, access control techniques based on RFID technology are employed to augment security protocols. The locker area is equipped with real-time monitoring and alerting tools that enable fast detection of any unauthorized access attempts or suspicious actions. The Bank Locker Security System uses these technologies to reduce the possibility of theft or unauthorized entry while offering clients a quick and safe way to access their goods kept in bank lockers. With this method, consumers’ assets are protected and their confidence in financial services is increased overall. It is a huge breakthrough in bank security measures.

Keywords: Machine Learning, user authentication, bank locker, Rfid, biometric

[This article belongs to International Journal of VLSI Circuit Design & Technology(ijvcdt)]

How to cite this article: Prajakta Medhekar, Mandar Shahane, Karan Rajiwade, Rohit Gadhave, B.M. Borhade. Bank Locker Security System Using Machine Learning. International Journal of VLSI Circuit Design & Technology. 2024; 02(01):16-20.
How to cite this URL: Prajakta Medhekar, Mandar Shahane, Karan Rajiwade, Rohit Gadhave, B.M. Borhade. Bank Locker Security System Using Machine Learning. International Journal of VLSI Circuit Design & Technology. 2024; 02(01):16-20. Available from: https://journals.stmjournals.com/ijvcdt/article=2024/view=169778

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Regular Issue Subscription Review Article
Volume 02
Issue 01
Received June 19, 2024
Accepted June 25, 2024
Published August 30, 2024

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