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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42582

Vehicle Security: Raspberry PI Based Vehicle Starter on Face Detection

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42582

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM42582

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

MMB1

Mrs. MASEEHA BANU 1

DHM2

DUSHYANTH H M 2

HHR3

HARSHAN H R 3

VKCK4

VARUN KUMAR C K 4

VNV

VINAY N V

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Abstract

The “Raspberry-Pi Based Vehicle Starter on Face Detection” project integrates facial recognition technology with biometric authentication to improve vehicle security. The system uses a camera module to take real-time facial photographs, which are then processed by OpenCV and machine learning algorithms on a Raspberry Pi, which serves as the central processing unit. The ignition system is activated by an electronic relay circuit upon successful recognition, allowing only authorized individuals to start the car. Unauthorized attempts are recorded, and for further security, alarms can be issued by SMS or email. By doing away with real keys, this creative method lowers the possibility of theft and unwanted entry. The technology guarantees an affordable, scalable, and user-friendly solution for contemporary vehicle security by combining embedded systems, computer vision, and the Internet of Things. The project intends to improve ease and safety by offering a workable, dependable, and clever substitute for conventional vehicle entry techniques.

KEYWORDS

camera vision image processing guidance system and face recognition.

Cite This Article

Mrs. MASEEHA BANU 1, DUSHYANTH H M 2, HARSHAN H R 3, VARUN KUMAR C K 4, VINAY N V, "Vehicle Security: Raspberry PI Based Vehicle Starter on Face Detection," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM42582

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Publication Date

3/18/2025

Peer Review Type

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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