DEVELOPMENT OF TOLL GATE SYSTEM BASED ON AI AUTOMATIC LICENSE PLATE RECOGNIZATION

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.

S.Indira; SK MD Muzahid; S.Varshith; P.Nithin Reddy; Dr.G.Chenna kesava Reddy

DEVELOPMENT OF TOLL GATE SYSTEM BASED ON AI AUTOMATIC LICENSE PLATE RECOGNIZATION

Authors: S.Indira, SK MD Muzahid, S.Varshith, P.Nithin Reddy, Dr.G.Chenna kesava Reddy

Unique Paper ID: 177706
Volume: 11
Issue: 12
PageNo: 1250-1254

Keywords: Automatic Toll Gate Number Plate Recognition OCR RFID Technology Arduino Image Processing Servo Motor Automation Traffic Management

Abstract:
The conventional toll collection systems often cause traffic congestion and long waiting times at toll gates. This project presents an automatic toll gate system using a combination of Optical Character Recognition (OCR) for number plate recognition and RFID technology to create a seamless and efficient toll payment experience. The system automates the toll collection process and enhances road traffic management, reducing human intervention. The Arduino microcontroller serves as the central processing unit for this system, integrating various components such as image processing for number plate detection, RFID readers for vehicle identification, and servo motors for gate control. When a vehicle approaches the toll gate, the system uses a camera to capture the vehicle's number plate. The captured image is processed using OCR technology to extract the vehicle's registration number. Simultaneously, if the vehicle is equipped with an RFID tag, the RFID reader scans the tag to retrieve the pre-registered vehicle information. The system cross-checks the information obtained from both the RFID tag and the OCR-based number plate detection for enhanced accuracy. Once the vehicle is identified and verified, the Arduino triggers the servo motor to automatically open the toll gate if the vehicle has sufficient balance in its pre-registered account or is authorized to pass through. The entire transaction data can be logged for auditing purposes and displayed on an LCD screen for the driver's reference. If the vehicle lacks authorization or balance, the gate remains closed, and the driver can be notified via alerts. The IoT-enabled system can also transmit real-time toll transaction data to a central server, making it easier for authorities to monitor and manage the toll collection process. By using image processing, RFID, and automation with Arduino and servo motors, this system improves the overall efficiency of toll management, reduces delays, and enhances the user experience on highways.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 1250-1254

DEVELOPMENT OF TOLL GATE SYSTEM BASED ON AI AUTOMATIC LICENSE PLATE RECOGNIZATION

Available:https://ijirt.org/article?manuscript=177706

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