Vehicle Security: Raspberry PI Based Vehicle Starter on Face Detection

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. Key words: camera vision, image processing, guidance system, and face recognition.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-18
DOI
https://doi.org/10.55041/ijsrem42582
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Vehicle Security: Raspberry PI Based Vehicle Starter on Face Detection

M. B. Saffrin Banu
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
IoT and GPS-based Vehicle Safety Systems
article

Vehicle Security: Raspberry PI Based Vehicle Starter on Face Detection

M. B. Saffrin Banu
article en

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. Key words: camera vision, image processing, guidance system, and face recognition.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 95%
IoT and GPS-based Vehicle Safety Systems
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