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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42393

Virtual RTO Using IoT

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42393

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

PC

Purushottam Chavan

SP

Srushti Pawar

DP

Dipali Patil

SD

Shraddha Dumbare

MS

Manasi Shinde

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Abstract

– Currently, RTO document verification relies on a mix of manual checks and semi-automated methods like face recognition, QR code scanning, and electronic verification systems. While these technologies help improve authentication, they come with challenges such as risk of forgery, dependence on external databases, and lack of backup verification options. Manual verification is also slow, prone to errors, and often fails to detect expired or fraudulent documents, leading to security risks and regulatory issues. Our system offers a smarter and more secure way to verify vehicle-related documents by integrating fingerprint authentication and RFID technology. Instead of relying on paperwork or manual checks, users can simply scan an RFID tag linked to their license and verify their identity using a fingerprint sensor. The system then cross-checks essential documents like insurance, PUC, and driving license validity. If everything is up to date, access is granted, indicated by a blinking LED. If a document is expired or invalid, access is denied. This automated process reduces human errors, speeds up verification, and prevents fraud, ensuring that only authorized drivers can operate vehicles. By simplifying and securing document verification, our system makes RTO processes more efficient, reliable, and hassle-free.

KEYWORDS

RTO Verification Fingerprint Authentication RFID Automated document check Secure vehicle access

Cite This Article

Purushottam Chavan, Srushti Pawar, Dipali Patil, Shraddha Dumbare, Manasi Shinde, "Virtual RTO Using IoT," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025.

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Publication Date

3/14/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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