Raspberry Pi-based Vehicle Starter on Face Detection with Image Processing and IoT

Authors

  • Yogeshwar G. Landge  BE- Electronics & Telecommunication, Sinhgad College of Engineering (SPPU), Maharashtra, India
  • Vaishnavi S. Pandhare  BE- Electronics & Telecommunication, Sinhgad College of Engineering (SPPU), Maharashtra, India

Keywords:

Face registration, Face recognition, Ignition, database, Image processing

Abstract

Normally vehicle key is the only way to start the vehicle or to provide ignition to the engine. In this project, the face recognition-based vehicle starter system replaces the vehicle ignition by replacing the key with a specific user face. The user's face is utilized to authenticate the vehicle starting process. This smart vehicle starter system is powered by a raspberry pi circuit. The face recognition system makes use of a camera and raspberry pi as the brain of a system to capture images and store this data into its database. While in real practice when the user comes in front of the camera system starts scanning, when the face is detected by the camera the system compares the given face with the images in the database and authorizes the person, if the person is already registered then it starts the vehicle or else identifies the person as an invalid user and the buzzer goes on and access is denied and the solenoid value remain off. To clear data, we need to use the clear option to clear the entire data.

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International Journal of Scientific Research in Science and Technology

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
Yogeshwar G. Landge, Vaishnavi S. Pandhare "Raspberry Pi-based Vehicle Starter on Face Detection with Image Processing and IoT" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 3, pp.400-407, May-June-2022.