Campus Entrance Vehicle Control System

Abstract: We made the Campus Entrance Vehicle Control System to improve the safety at the main gate of our college. Sometimes vehicles enter the campus without permission, and that can be a security problem. So, we developed a mobile app that uses OCR (Optical Character Recognition) to scan the number plates of vehicles. When a vehicle arrives at the gate, the security person can scan its number plate using the app. If the number is already saved in the college's database, it means the vehicle is authorized and is allowed to enter. But if the number is not found, then it is treated as a guest vehicle, and its details are saved in the system as a guest entry. Our app also includes a login page for admin, a dashboard to manage and view reports, and sections to see: · Authorized users · Vehicle entry/exit records · Guest visit records This system helps avoid manual writing, saves time, and makes the process faster and more secure. It also keeps proper records of all vehicles, which helps the college maintain safety and manage entries more transparently. Keywords: Campus Entrance Vehicle Control System, OCR (Optical Character Recognition), number plates, security problem. Title: Campus Entrance Vehicle Control System Author: Bagal Rameshwari, Marabe Bhimabai, Jagtap Sayali, Prof.S.S.kale, Prof. J.M.Shaikh International Journal of Recent Research in Mathematics Computer Science and Information Technology ISSN 2350-1022 Vol. 12, Issue 1, April 2025 - September 2025 Page No: 57-66 Paper Publications Website: www.paperpublications.org Published Date: 18-June-2025 DOI: https://doi.org/10.5281/zenodo.15687506 Paper Download Link (Source) https://www.paperpublications.org/upload/book/Campus%20Entrance%20Vehicle%20Control%20System-18062025-3.pdf

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-18
DOI
https://doi.org/10.5281/zenodo.15687506
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Campus Entrance Vehicle Control System

Zenodo (CERN European Organization for Nuclear Research)
IoT and GPS-based Vehicle Safety Systems
article

Campus Entrance Vehicle Control System

article en

Abstract

Abstract: We made the Campus Entrance Vehicle Control System to improve the safety at the main gate of our college. Sometimes vehicles enter the campus without permission, and that can be a security problem. So, we developed a mobile app that uses OCR (Optical Character Recognition) to scan the number plates of vehicles. When a vehicle arrives at the gate, the security person can scan its number plate using the app. If the number is already saved in the college's database, it means the vehicle is authorized and is allowed to enter. But if the number is not found, then it is treated as a guest vehicle, and its details are saved in the system as a guest entry. Our app also includes a login page for admin, a dashboard to manage and view reports, and sections to see: · Authorized users · Vehicle entry/exit records · Guest visit records This system helps avoid manual writing, saves time, and makes the process faster and more secure. It also keeps proper records of all vehicles, which helps the college maintain safety and manage entries more transparently. Keywords: Campus Entrance Vehicle Control System, OCR (Optical Character Recognition), number plates, security problem. Title: Campus Entrance Vehicle Control System Author: Bagal Rameshwari, Marabe Bhimabai, Jagtap Sayali, Prof.S.S.kale, Prof. J.M.Shaikh International Journal of Recent Research in Mathematics Computer Science and Information Technology ISSN 2350-1022 Vol. 12, Issue 1, April 2025 - September 2025 Page No: 57-66 Paper Publications Website: www.paperpublications.org Published Date: 18-June-2025 DOI: https://doi.org/10.5281/zenodo.15687506 Paper Download Link (Source) https://www.paperpublications.org/upload/book/Campus%20Entrance%20Vehicle%20Control%20System-18062025-3.pdf

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
IoT and GPS-based Vehicle Safety Systems
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