SafeDrive Pro IoT Based Driver Verification System

SafeDrive Pro is an IoT-based Driver Verification System designed to address the rise in vehicular accidents involving underage and unlicensed drivers. By integrating multi-factor authentication, including age verification, facial recognition, and driver license validation, SafeDrive Pro ensures only authorized individuals can operate vehicles. The system aims to improve vehicle security, reduce unauthorized usage, and enhance road safety. The proposed system leverages IoT technology, machine learning for facial recognition, and RFID for license validation. Initial results indicate that the system can effectively prevent unauthorized access, offering a robust approach to reducing road accidents and promoting vehicle security

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2024-10-22
DOI
https://doi.org/10.48175/ijarsct-19932
Citations
1
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.20
Controls
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article

SafeDrive Pro IoT Based Driver Verification System

A Katkar Gauri, Gorade Shradha, Jadhav Anurag, Prof. Dnyanesh Gaikwad
1 citations
International Journal of Advanced Research in Science Communication and Technology
Autonomous Vehicle Technology and Safety
0.20
article

SafeDrive Pro IoT Based Driver Verification System

A Katkar Gauri, Gorade Shradha, Jadhav Anurag, Prof. Dnyanesh Gaikwad
article en
1 citations

Abstract

SafeDrive Pro is an IoT-based Driver Verification System designed to address the rise in vehicular accidents involving underage and unlicensed drivers. By integrating multi-factor authentication, including age verification, facial recognition, and driver license validation, SafeDrive Pro ensures only authorized individuals can operate vehicles. The system aims to improve vehicle security, reduce unauthorized usage, and enhance road safety. The proposed system leverages IoT technology, machine learning for facial recognition, and RFID for license validation. Initial results indicate that the system can effectively prevent unauthorized access, offering a robust approach to reducing road accidents and promoting vehicle security

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 49%
Autonomous Vehicle Technology and Safety
0.20
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