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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A Real-Time Automatic Plate Recognition System Based on Optical Character Recognition and Wireless Sensor Networks for ITS

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Author(s):
Dalarmelina, Nicole do Vale [1] ; Teixeira, Marcio Andrey [1] ; Meneguette, I, Rodolfo
Total Authors: 3
Affiliation:
[1] I, Fed Inst Sao Paulo, Dept Informat, BR-15808305 Catanduva - Brazil
Total Affiliations: 1
Document type: Journal article
Source: SENSORS; v. 20, n. 1 JAN 2020.
Web of Science Citations: 0
Abstract

Automatic License Plate Recognition has been a recurrent research topic due to the increasing number of cameras available in cities, where most of them, if not all, are connected to the Internet. The video traffic generated by the cameras can be analyzed to provide useful insights for the transportation segment. This paper presents the development of an intelligent vehicle identification system based on optical character recognition (OCR) method to be used on intelligent transportation systems. The proposed system makes use of an intelligent parking system named Smart Parking Service (SPANS), which is used to manage public or private spaces. Using computer vision techniques, the SPANS system is used to detect if the parking slots are available or not. The proposed system makes use of SPANS framework to capture images of the parking spaces and identifies the license plate number of the vehicles that are moving around the parking as well as parked in the parking slots. The recognition of the license plate is made in real-time, and the performance of the proposed system is evaluated in real-time. (AU)

FAPESP's process: 17/01055-4 - Management Platform for Deployment and Distribution of Applications in Multi-Cloud Environment.
Grantee:Marcio Andrey Teixeira
Support type: Scholarships abroad - Research
FAPESP's process: 15/11536-4 - A framework for vehicular networks aid in the big cities management
Grantee:Rodolfo Ipolito Meneguette
Support type: Regular Research Grants