AUTOMATIC NUMBER PLATE RECOGNITION SYSTEM USING RASPBERRY PI AND PYTHON









Abstract

The vehicle authentication is done using the ALPR system. The manual work of humans to watch the movement of vehicles in and out of the organization is reduced by using ALPR. In this system, first the image of the license plate is captured and then that image will be processed. The letters present on the image of license plate are changed into the texts using OCR. An android application is also used in this system. When the vehicle enters the parking area or any organization immediately the vehicle license plate number and the vehicle entering time will be updated in the android application and an email will also be sent to the corresponding authenticated person. So, it is easy to find the incoming and outgoing vehicles and record details about them for future use. Keywords: OCR- Optical Character Recognition, ALPR- Automatic License Plate recognition.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL