ABSTRACT:
The aim of the project is to recognize the number plate of vehicle which passes through system and capture image by camera automatically by using raspberry pi. When number plate is recognized at that time gate will be opened and when number plate is not recognized gate will remain closed. In this system, open CV and OCR(optical character recognition)platform are used. To capture vehicle number plate on gate we have to use ultrasonic sensor which will be helpful for the calculating the distance between camera and vehicle.
INTRODUCTION:
Automation is the most frequently spelled term in the field of electronics. Due to automation, revolution has occurred in the existing technologies. This project makes use of an onboard computer, which is commonly termed as Raspberry Pi2 processor. It acts as heart of the project. This onboard computer can efficiently communicate with the output and input modules which are being used. The Raspberry pi is a credit-card sized single board computer. Basically, the operating system for the detection of vehicle number plate using Raspberry pi is the Raspbian JC. For the recognition purpose, Raspberry pi model3 is used. Raspberry pi is a SOC (system on chip) device has inbuilt 1.2 GHz BCM 2837 Arm Cortex processor. The arm cortex processor is 64 bits. Raspberry pi has 1GB Ram. The overall average power is ranging from 1.5 to 6.7 watt. Raspberry pi has 40 digital input output pins in which 27 pins are GPIO (General Purpose Input Output). It has operating system which is installed in external SD card for booting and long term storage. Here in this system raspberry pi is the heart of the project. In many industries unknown vehicles are not allowed. There security is very important for them our system is going help to recognize number unknown vehicle on gate. The same system can be used in such areas where security is the most important. The recognition of vehicle number plate is working in four steps. The first one is image acquisition, second is license plate extraction, third one is license plate segmentation, and last one is character recognition. OCR is the process which converts image into text.
LITERATURE SURVEY:
This project proposed the Electronic Toll collection System based on RFID which has advantages of less cost, small size and high reliability. It is very suitable for practical applications with the rapid development of national economy, total mileage of expressway and vehicle population remain constantly increase in china, accordingly, expressway network has becoming more complex.
This paper proposed that, the double chance algorithm as an approach to car license plate extraction. The first algorithm extracts the line segments and group them based on set of geometrical conditions, using real life data base collected by speed enforcement camera, they obtained a high success rate of 99.5%, through double chance approach with verification.
DESIGN & IMPLEMENTATION:
The objective of this project is Usage of image authentication technology, Capturing of Vehicle number plate details using camera, unauthorized authentication and alerting through buzzer alarm, indicator as a number plate recognized.
Above block diagram indicates of recognition of vehicle number plate using Raspberry pi .In this system Raspberry pi 3 is the heart of project and we have installed Raspbian operating system some important library and packages have installed to convert image to text like openCV OCR.
Here we interface camera to Raspberry pi on a port where we interface camera. The camera is performing main role in this system. When vehicle comes in range with ultrasonic sensor automatically the image of number plate get capture and converts into text using OCR and open CV. Then compare the text into exiting number plate. If number plate gets match servo motor opens the gate else buzzer blows to in builtoperator that vehicle is unknown.
In this project ,DC power supply is used that supplies the constant DC voltage to its load. It provides DC power of 5v. It supports up to 2.5A of current which is plenty through the four USB ports on the board.
SYSTEM REQUIREMENTS:
Ø Hardware Components:
· Raspberry Pi 3
· Buzzer
· Pi Camera
· Ultrasonic Sensor
· Power supply
· Jumper wire
Ø Software Components:
· Raspbian OS
· Programming Language: Python
v The Raspberry Pi based Vehicle Number Plate Recognition project is an automated system which automatically detects the vehicle registration numbers.
v The Raspberry Pi based Vehicle Number Plate Recognition project is a cost-effective solution for the toll booths, parking areas and traffic policing applications.
CONCLUSION:
The performances of the system make it a valid choice among its competitors especially in those situations when the cost of the application has to be maintained at reasonable levels. This paper is helpful for the identification and detection of vehicle number plate. Here the focus is given to detect position of the characters and it can be done by using OCR technique. There are several approaches taken to achieve this. In future, the cloud computing can be used, which will be very helpful for storing the data permanently.
For More Details Contact +919972364704
https://www.mifratech.com/public/
https://www.facebook.com/mifratech.lab
https://www.instagram.com/mifratech/
https://twitter.com/mifratech