Efficient License Plate Recognition System with Smarter Interpretation Through IoT

Tejas, K; Reddy, K. Ashok; Reddy, Dr.P.Veeranarayana; Bharath, Karthik; Karthik, R.; M, Rajesh Kumar

doi:10.1007/978-981-13-1595-4_16

Cited by 15 publications

(8 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the next approach by Tejas et al (Tejas et al, 2017), a combination of digital image processing and the Internet of Things (IoT) was proposed. The documented efficiency of the proposed methodology is approximately 97.89%.…”

Section: Overview Of Methodologies For Automatic Vehicle Registration...mentioning

confidence: 99%

Proceedings - The Eleventh International Symposium GRID 2022

2022

View full text Add to dashboard Cite

It is my great pleasure to introduce You the research papers of the Eleventh Symposium on Graphic Engineering and Design.With this proceeding we continue the works of previous symposiums which have been held biennial since year 2002.We're delighted that this international symposium has once again gatered a great number of participants from many countries as it became a tradition over the past 20 years.The papers include the achievements of researches in the field of technology and scientific areas relevant to graphic technology and graphic design. Through the work of the symposium GRID we continued significant scientific cooperation with educational institutions all over the world. With them we are continuing good cooperation which is the driving force for the creation and display of new developments, both individual and common. I want to thank everyone who participated with their paper and presentation in the Symposium. Your contribution is significant for the improvement of the Symposium on Graphic Engineering and Design GRID 22. The research achievements presented here are also valuable to the scientific and professional community and are highly appreciated.

show abstract

Section: Overview Of Methodologies For Automatic Vehicle Registration...mentioning

confidence: 99%

Proceedings - The Eleventh International Symposium GRID 2022

2022

View full text Add to dashboard Cite

show abstract

“…An innovative technique for vehicle number plate detection using the special technique of edge detection [24] has been introduced by Tejas. They have used the Sobel edge detection technique to obtain accurate boundaries of the number plate in the image.…”

Section: Edge Detectionmentioning

confidence: 99%

Vehicle Number Plate Detection and Recognition Techniques: A Review

Parvin¹,

Rozario²,

Islam³

2021

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

Vehicle number plate detection and recognition is an integral part of the IntelligentTransport System (ITS) as every vehicle has a number plate as part of its identity. The quantity of vehicles on road is growing in the modern age, so numerous crimes are also increasing day by day. Almost every day the news of missing vehicles and accidents are perceived. Vehicles tracking is often required to investigate all these illegal activities. So, vehicle number plate identification, as well as recognition, is an active field of study. However, vehicle number plate identification has always been a challenging task for some reasons, for example, brightness changes, vehicle shadows, and non-uniform license plate character type, various styles, and environment color effects. In this review work, various state-of-the-art vehicle number plate detection, as well as recognition strategies, have been outlined on how researchers have experimented with these techniques, which methods have been developed or used, what datasets have been focused on, what kinds of characters have been recognized and how much progress have been achieved. Hopefully, for future research, this review would be very useful.

show abstract

“…e benefits of the system were the high accuracy results of 98.7%, 99.2%, and 97.6% recorded and its numerous real-life applications. e authors in [17] implemented a system to recognize vehicle number plate using IOT (Internet of ings). e system was designed to meet changing urban requirements in the modern-day transportation system.…”

Section: Related Workmentioning

confidence: 99%

Development of Smart Plate Number Recognition System for Fast Cars with Web Application

Shobayo

Olajube

Ohere

et al. 2020

Applied Computational Intelligence and Soft Computing

View full text Add to dashboard Cite

Traffic law violation has been recognized as a major cause for road accidents in most parts of the world with majority occurring in developing countries. Even with the presence of rules and regulations stipulated against this, violators are still on the increase. This is due to the fact that the rules are not properly enforced by appropriate authorities in those parts of the world. Therefore, a system needs to be designed to assist law enforcement agencies to impose these rules to improve road safety and reduce road accidents. This work uses a Vehicle Plate Number Recognition (VNPR) system which is a real-time embedded system to automatically recognize license plate numbers. It provides an alternative means to VPNR using an open-source library known as openCV. The main aim of the system is to use image processing to identify vehicles violating traffic by their plate numbers. It consists of an IR sensor for detecting the vehicle. During testing, a minimum time was set for the sensor to detect the object which was recorded by the microprocessor. Once it was less than the set time, the camera was triggered to capture the plate number and store the image on the Raspberry Pi. The image captured is processed by the Raspberry Pi to extract the numbers on the image. The numbers on the capture imaged were viewed on a web page via an IP address. The system if implemented can be used to improve road safety and control traffic of emerging smart cities. It will also be used to apply appropriate sanctions for traffic law violators.

show abstract

Efficient License Plate Recognition System with Smarter Interpretation Through IoT

Cited by 15 publications

References 15 publications

Proceedings - The Eleventh International Symposium GRID 2022

Proceedings - The Eleventh International Symposium GRID 2022

Vehicle Number Plate Detection and Recognition Techniques: A Review

Development of Smart Plate Number Recognition System for Fast Cars with Web Application

Contact Info

Product

Resources

About