SecurePass: Intelligent Vehicle Access Management System

Vehicle Access Management is a important aspect of security, especially for any private Organization. The traditional manual methods can be inefficient and prone to human error. The handling of large data becomes difficult. Thus, as the organizations grow, the need for streamlined and automated solution is necessary. “SecurePass: Intelligent Vehicle Access Management System” is designed to address these challenges by using Machine Learning solution for real time vehicle monitoring, number plate detection and validation. The system is designed in such a way that it uses OpenCV, TensorFlow and OCR technologies to accurately detect and extract vehicle registration number. The extracted number plate is validated against a dataset maintained by organization. The SecurePass additionally checks the number plate on basis of the RTO norms and classifies them into personal (if black and white), transportation (if yellow) and electric (if green). It signals the suspicious plate for further inspection. SecurePass consist of 2 modules, first one is the admin itself, who manages the data and the other one is the Security Personnel who can verify the vehicle entries. The Security Personnel the can record the entry and exit of the Vehicle. SecurePass gurantees the security, data accuracy and operational efficiency in Vehicle Access Management.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-10-31
DOI
https://doi.org/10.36948/ijfmr.2024.v06i05.29723
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.00
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article

SecurePass: Intelligent Vehicle Access Management System

Riya Demapure -, Pratik Bhawkar -, Sahil Deshpande -, Devika Rainak - et al.
International Journal For Multidisciplinary Research
Vehicular Ad Hoc Networks (VANETs)
article

SecurePass: Intelligent Vehicle Access Management System

Riya Demapure -, Pratik Bhawkar -, Sahil Deshpande -, Devika Rainak -, Sakshi Bhoirkar -, Varsha Chavan -
article en

Abstract

Vehicle Access Management is a important aspect of security, especially for any private Organization. The traditional manual methods can be inefficient and prone to human error. The handling of large data becomes difficult. Thus, as the organizations grow, the need for streamlined and automated solution is necessary. “SecurePass: Intelligent Vehicle Access Management System” is designed to address these challenges by using Machine Learning solution for real time vehicle monitoring, number plate detection and validation. The system is designed in such a way that it uses OpenCV, TensorFlow and OCR technologies to accurately detect and extract vehicle registration number. The extracted number plate is validated against a dataset maintained by organization. The SecurePass additionally checks the number plate on basis of the RTO norms and classifies them into personal (if black and white), transportation (if yellow) and electric (if green). It signals the suspicious plate for further inspection. SecurePass consist of 2 modules, first one is the admin itself, who manages the data and the other one is the Security Personnel who can verify the vehicle entries. The Security Personnel the can record the entry and exit of the Vehicle. SecurePass gurantees the security, data accuracy and operational efficiency in Vehicle Access Management.

International Journal For Multidisciplinary ResearchVol. 6(5)
Peace, Justice and strong institutions
Openalex Percentile: Top 83%
Vehicular Ad Hoc Networks (VANETs)
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SecurePass: Intelligent Vehicle Access Management System — Riya Demapure -, Pratik Bhawkar -, et al. · International Journal For Multidisciplinary Research (2024) | TGRS Research Map | TGRS