Open AccessAndroid application to retrieve car details from car plate numbers
Author(s) -
Saadaldeen Rashid Ahmed,
Mohammed Rashid Ahmed,
Doaa Abdulwahhab Majeed,
Azal Hazim Hammed,
Asayel salam Daham,
Elaf Hazim Hammed
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/3/032026
Subject(s) - alphanumeric , computer science , preprocessor , artificial intelligence , popularity , android (operating system) , computer vision , optical character recognition , computer graphics (images) , image (mathematics) , operating system , psychology , social psychology
Computer vision is a field in computer science that has had great success due to the increasing popularity of machine learning. Instead of having a human look at images and decide what they depict, we are able to teach computers to recognize patterns of previous images and see the resemblance in new images. In this paper we will get car all information from his number plates through an Android Application which use image preprocessing and YOLO (You only look once) technique to detect the plates and then optimal character recognition to read the plates and Arabic numbers of the cars in Iraq and we have trained it using darkflow. Every Car has its unique Licensed number plate which will be scanned and give the details about the car. Computer vision can also be used to read alphanumeric characters in images and turn them into text. We have implemented API to detect the text and number in the plates. The purpose of this project is to develop a system for our Government and Police So that If police need details about any car he would easily access it. We have achieved the accuracy of 92.23% which means out of 3500 number plates 3220 read correctly.