International Journal For Multidisciplinary Research

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SecurePass: Intelligent Vehicle Access Management System

Author(s) Riya Demapure, Pratik Bhawkar, Sahil Deshpande, Devika Rainak, Sakshi Bhoirkar, Varsha Chavan
Country India
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.
Keywords SecurePass, OpenCV, Tensorflow, OCR, Detection, Recognition, Private Organizations
Field Engineering
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-10-31
Cite This SecurePass: Intelligent Vehicle Access Management System - Riya Demapure, Pratik Bhawkar, Sahil Deshpande, Devika Rainak, Sakshi Bhoirkar, Varsha Chavan - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29723
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.29723
Short DOI https://doi.org/g8p2r6
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