Vehicle Authorization System Using Raspberry Pi

Q: How many days will it take for my paper to be published?

The review time for papers is not fixed. However, if the paper is accepted and the author completes the processing charges formalities, the paper will be published within a few working days.

Q: I would like to receive a hard copy of the journal materials. Are there any additional charges?

You can log in to the author portal and pay 500 INR to receive the hard copy materials.

Suyash Sampat Gadekar; Aishwarya Vijay Patil; Aryan Sachin Pise; Mrs. Anuradha Kasangottuwar

Vehicle Authorization System Using Raspberry Pi

Authors: Suyash Sampat Gadekar, Aishwarya Vijay Patil, Aryan Sachin Pise, Mrs. Anuradha Kasangottuwar

Unique Paper ID: 182496
Volume: 12
Issue: 2
PageNo: 2399-2406

Keywords: Raspberry Pi Vehicle Access Control License Plate Detection Optical Character Recognition (OCR) Automated Gate System OpenCV Smart Transportation Real-Time Image Processing Intelligent Surveillance IoT-Based Security System Python Programming Smart Parking System Vehicle Authorization

Abstract:
This project introduces an affordable solution for automatic vehicle detection and access control using Raspberry Pi. It combines a camera module, OpenCV, and OCR to process live vehicle images and identify number plates. The system automates gate control and sends alerts, enhancing speed, accuracy, and scalability across multiple use cases. The growing demand for smart transportation and enhanced security in urban infrastructure has led to the development of intelligent vehicle access control systems. This project, titled "Automated Vehicle Access Control with Number Plate Recognition Using Raspberry Pi", presents a cost-effective and efficient solution for real-time vehicle identification and access management using license plate recognition. A Raspberry Pi serves as the main controller and is connected to a camera to capture real-time images of vehicles. These images undergo preprocessing with OpenCV to improve quality and isolate the license plate area. OCR is then used to read and extract the characters from the plate. The recognized license plate number is matched against a preloaded database of authorized vehicles to determine access eligibility. Upon successful identification, the system triggers automated access actions such as opening a gate or logging entry details, and can also send SMS notifications to stakeholders using an API like Twilio. The entire process operates without human intervention, thereby improving accuracy, reducing response time, and enhancing the overall security and convenience of vehicle access management. This project is scalable and applicable in a wide range of domains including gated communities, corporate campuses, toll booths, parking facilities, and law enforcement checkpoints. By integrating affordable hardware and open-source software tools, it offers a sustainable approach to modernizing transportation and security systems.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 2
PageNo: 2399-2406

Vehicle Authorization System Using Raspberry Pi

Available:https://ijirt.org/article?manuscript=182496

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now