Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Enhancing Automatic Vehicle Number Plate Recognition Systems: A Multidimensional Approach to Improve Efficiency and Applicability

View through CrossRef
Real Time Number Plate Recognition System is an image processing technology which uses number (license) plate to identify the vehicle. The objective is to design an efficient automatic authorized vehicle identification system by using the vehicle number plate. No plate help for movement of traffic securely without any collision. They can reduce the number of accidents on roads like pedestrian accident and right-angle collision of two cars. Number plate recognition (NPR) can be used in various fields such as vehicle tracking, traffic monitoring, automatic payment of tolls on highways or bridges, surveillance systems, tolls collection points, and parking management systems. The developed system first detects the vehicle and then captures the vehicle image. Vehicle number plate region is localized using Neural Network(rcnn) then image segmentation is done on the image. Character recognition technique is used for the character extraction from the plate. The system is implemented and simulated in python, and its performance is tested on real image. Automatic vehicle detection and recognition is a key technique in most of traffic related applications and is an active research topic in the image processing domain. Different methods, techniques and algorithms have been developed for vehicle detection and recognitions but they are not very useful for parking system. In this project we aim to make an application which will help for society and mostly for corporation buldings in each state for doing their work very efficiently and in very small time. Live camera feeds are the primary input we give the system. On the main gate is a camera. When a car or bike passes in front of the camera, the camera reads the number plate number. Using an OCR algorithm, this vehicle can be determined to be authorized or not. If the car is not allowed in the premises the notification will be activated. authorized popup will be on if the vehicle is authorized
Title: Enhancing Automatic Vehicle Number Plate Recognition Systems: A Multidimensional Approach to Improve Efficiency and Applicability
Description:
Real Time Number Plate Recognition System is an image processing technology which uses number (license) plate to identify the vehicle.
The objective is to design an efficient automatic authorized vehicle identification system by using the vehicle number plate.
No plate help for movement of traffic securely without any collision.
They can reduce the number of accidents on roads like pedestrian accident and right-angle collision of two cars.
Number plate recognition (NPR) can be used in various fields such as vehicle tracking, traffic monitoring, automatic payment of tolls on highways or bridges, surveillance systems, tolls collection points, and parking management systems.
The developed system first detects the vehicle and then captures the vehicle image.
Vehicle number plate region is localized using Neural Network(rcnn) then image segmentation is done on the image.
Character recognition technique is used for the character extraction from the plate.
The system is implemented and simulated in python, and its performance is tested on real image.
Automatic vehicle detection and recognition is a key technique in most of traffic related applications and is an active research topic in the image processing domain.
Different methods, techniques and algorithms have been developed for vehicle detection and recognitions but they are not very useful for parking system.
In this project we aim to make an application which will help for society and mostly for corporation buldings in each state for doing their work very efficiently and in very small time.
Live camera feeds are the primary input we give the system.
On the main gate is a camera.
When a car or bike passes in front of the camera, the camera reads the number plate number.
Using an OCR algorithm, this vehicle can be determined to be authorized or not.
If the car is not allowed in the premises the notification will be activated.
authorized popup will be on if the vehicle is authorized.

Related Results

Automatic Jordanian License Plate Detection and Recognition System Using Deep Learning Techniques
Automatic Jordanian License Plate Detection and Recognition System Using Deep Learning Techniques
Recently, the number of vehicles on the road, especially in urban centers, has increased dramatically due to the increasing trend of individuals towards urbanization. As a result, ...
Modified ANPR using Neural Networks
Modified ANPR using Neural Networks
Number Plate Recognition is a mass observation technique which is used to identify the vehicles. The identification and acknowledgement of a vehicle license plate is a key method i...
Multimodal Emotion Recognition and Human Computer Interaction for AI-Driven Mental Health Support (Preprint)
Multimodal Emotion Recognition and Human Computer Interaction for AI-Driven Mental Health Support (Preprint)
BACKGROUND Mental health has become one of the most urgent global health issues of the twenty-first century. The World Health Organization (WHO) reports tha...
Robotic-Based Bottom Vehicle Inspection in Indonesian
Robotic-Based Bottom Vehicle Inspection in Indonesian
In Motor Vehicle Testing, Bottom Vehicle Inspection is still done manually by means of the inspector entering the test box to see the Bottom Vehicle to ensure that the Bottom Vehic...
Vehicle Number Plate Detection and Recognition Using Deep Learning
Vehicle Number Plate Detection and Recognition Using Deep Learning
[1] M. Bensouilah, M. N. Zennir, and M. Taffar, “An ALPR system-based deep networks for the detection and recognition,” in Proceedings of the 10th International Conference on Patte...
Modeling and simulation on interaction between pedestrians and a vehicle in a channel
Modeling and simulation on interaction between pedestrians and a vehicle in a channel
The mixed traffic flow composed of pedestrians and vehicles shows distinct features that a single kind of traffic flow does not have. In this paper, the motion of a vehicle is desc...
“Cost-Effective Vehicle Type Recognition in Surveillance Images.”
“Cost-Effective Vehicle Type Recognition in Surveillance Images.”
The integration of computer vision and machine literacy ways has paved the way for advanced vehicle model recognition and number plate recognition systems. This design presents an ...
THE LICENCE PLATE PROOF OF IDENTITY RECKLESS STIRRING VEHICLES
THE LICENCE PLATE PROOF OF IDENTITY RECKLESS STIRRING VEHICLES
This study introduces a novel approach aimed at improving Automatic License Plate Recognition (ALPR) systems, addressing the common issue of poor-quality license plate images. The ...

Back to Top