Vehicle Anti-Theft System Using Biometric Identification Through IOT Based Technique

February 2022
Vol-8, Issue-1
Paper ID: 15982
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Electrical and Electronics Engineering
Keywords
Raspberry Pi RFID Fingerprint Module Pi camera
Abstract
Driving a vehicle without a valid driver's licence is a big concern in many countries nowadays. The suggested system includes a facial recognition identification tool in the form of a Raspberry Pi 4 camera, a ky-m6 finger print sensor module for authorised finger print identification, and an EM-18 RFID reader for authorised driving licence identification. A person who intends to operate the vehicle must provide his or her biometric information, which includes facial recognition, fingerprint authentication, and a unique RFID tag. These are the most common and reliable methods of personal biometric identification. We can prevent non-licensed drivers from driving and causing accidents by employing biometric authentication. The car will be lit once all authentications have been completed. If any of the authentications fail, the car will not be started and will not progress to the next phase. This improves vehicle security while simultaneously ensuring safe driving by averting collisions. The single board computer, which is a Raspberry Pi 4 module, is utilised to prototype the ignition system.

Author Information

# Name Institute / Affiliation
1 Pratik Suresh Sapakal Nanasaheb Mahadik Collage of Engineering, Peth
2 Akash Bapuso Kambire Nanasaheb Mahadik Collage of Engineering, Peth
3 Ganesh Vikas Jagtap Nanasaheb Mahadik Collage of Engineering, Peth
4 Madhumati N. Narule Nanasaheb Mahadik Collage of Engineering, Peth

How to Cite

Use the following formats to cite this article in your research.

APA Style
Sapakal, Pratik Suresh, Kambire, Akash Bapuso, Jagtap, Ganesh Vikas, & Narule, Madhumati N. (2022). Vehicle Anti-Theft System Using Biometric Identification Through IOT Based Technique. International Journal of Advance Research and Innovative Ideas In Education, 8(1), 1023-1027.
MLA Style
Sapakal, Pratik Suresh, et al. "Vehicle Anti-Theft System Using Biometric Identification Through IOT Based Technique." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 1, 2022, pp. 1023-1027.
IEEE Style
Pratik Suresh Sapakal, Akash Bapuso Kambire, Ganesh Vikas Jagtap, and Madhumati N. Narule, "Vehicle Anti-Theft System Using Biometric Identification Through IOT Based Technique," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 1, pp. 1023-1027, 2022.
Vancouver Style
Sapakal Pratik Suresh, Kambire Akash Bapuso, Jagtap Ganesh Vikas, Narule Madhumati N.. Vehicle Anti-Theft System Using Biometric Identification Through IOT Based Technique. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(1):1023-1027.
Harvard Style
Sapakal, Pratik Suresh, Kambire, Akash Bapuso, Jagtap, Ganesh Vikas, & Narule, Madhumati N. (2022) 'Vehicle Anti-Theft System Using Biometric Identification Through IOT Based Technique', International Journal of Advance Research and Innovative Ideas In Education, 8(1), pp. 1023-1027.
Chicago Style
Sapakal, Pratik Suresh, et al. "Vehicle Anti-Theft System Using Biometric Identification Through IOT Based Technique." International Journal of Advance Research and Innovative Ideas In Education 8, no. 1 (2022): 1023-1027.
Turabian Style
Sapakal, Pratik Suresh, et al. "Vehicle Anti-Theft System Using Biometric Identification Through IOT Based Technique." International Journal of Advance Research and Innovative Ideas In Education 8, no. 1 (2022): 1023-1027.

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