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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM30814

Facial Recognition and Shock Protection: A Comprehensive Anti-Theft System for Vehicles

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM30814

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM30814

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SJ

Suram Jahnavi

UHR

Undela Hyma Reddy

VT

Valeru Thanya

PV

Putla Vandana

S

Sd.Vaheeda

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Abstract

Vehicle Anti-Theft Detection and Protection with Shock employs a robust security system integrating facial recognition technology and shock protection mechanisms. A camera, connected to a Python-installed PC, facilitates facial recognition to identify authorized users. In the event of an unrecognized face, the system triggers an immediate response by sending an alert email to the registered user. This aspect adds an extra layer of security to deter potential thefts. In addition to the facial recognition feature, the project incorporates a shock protection mechanism inspired by a mosquito bat. This innovative approach involves integrating a shock mechanism that can be activated remotely. If unauthorized access or tampering is detected, the shock mechanism provides an additional deterrent, enhancing the security of the vehicle. The combination of facial recognition and shock protection contributes to a comprehensive anti-theft system, ensuring both user authentication and a swift response to potential threat

KEYWORDS

Arduino Python installed PC Vehicle security Relay Inverter

Cite This Article

Suram Jahnavi, Undela Hyma Reddy, Valeru Thanya, Putla Vandana, Sd.Vaheeda, "Facial Recognition and Shock Protection: A Comprehensive Anti-Theft System for Vehicles," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM30814

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Publication Date

12/31/45398

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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