Bank Locker Security System Using Machine Learning with Face and Liveness Detection

Authors

  • Varat Priyanka S  Department of E&TC, HSBPVT'S GOI, College of Engineerin, Kashti, India
  • Kale Komal R  Department of E&TC, HSBPVT'S GOI, College of Engineerin, Kashti, India
  • Kasar Dhanshri M  Department of E&TC, HSBPVT'S GOI, College of Engineerin, Kashti, India
  • Prof. Date A. R  Assitant Professor, Department of E&TC, HSBPVT's GOI, College Engineering ,Kashti, India
  • Prof. Diveker S. N  HOD, Department of E&TC , HSBPVT's GOI,College of Engineering , Kashti, India

Keywords:

Face Detection, Feature Extraction, Tracking, Machine Learning

Abstract

Implementation and design of face recognition play a vital role in variety of applications from biometrics, surveillance, security, identification to the authentication. In this paper design and implementation of a Bank locker security system where access people whose faces are available in the training database is proposed. First, face detection by detecting the human motion is done.Then face recognition is performed to determine the authority of the person to enter the sensitive area. At the same time, track the coordinate of detected motion. Failing to recognize the face finally passes the estimated coordinate to anesthetic gun for targeting the intruder automatically. Experimental results demonstrate the effectiveness of proposed Bank locker security system in order to restrict the unauthorized access and enhanced reliability by use of Liveness face recognition.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Varat Priyanka S, Kale Komal R, Kasar Dhanshri M, Prof. Date A. R, Prof. Diveker S. N, " Bank Locker Security System Using Machine Learning with Face and Liveness Detection, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.255-257, May-June-2022.