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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM30814
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
12/31/45398
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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