<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2218-3620</journal-id>
<journal-title><![CDATA[Revista Universidad y Sociedad]]></journal-title>
<abbrev-journal-title><![CDATA[Universidad y Sociedad]]></abbrev-journal-title>
<issn>2218-3620</issn>
<publisher>
<publisher-name><![CDATA[Editorial "Universo Sur"]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2218-36202021000100242</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Sistema de identificación de placas automotrices para la Universidad Metropolitana de Ecuador]]></article-title>
<article-title xml:lang="en"><![CDATA[An automotive plate identification system for the Metropolitan University of Ecuador]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[de la Rosa Martín]]></surname>
<given-names><![CDATA[Tonysé]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Metropolitana  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Ecuador</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>02</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>02</month>
<year>2021</year>
</pub-date>
<volume>13</volume>
<numero>1</numero>
<fpage>242</fpage>
<lpage>252</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2218-36202021000100242&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2218-36202021000100242&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2218-36202021000100242&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN El sistema basado en inteligencia artificial se compone de un equipo similar a una Tablet compuesta por diversas tecnologías a fin construir un marco enfocado en la recolección de placas vehiculares uniendo el software con el hardware a fin cumplir tarea sincronizada. Gracias a las tecnologías existentes podemos apoyarnos en métodos de OCR (Reconocimiento óptico de caracteres) incrustando dicha tecnología en el flujo del marco de trabajo de red, por el lado físico del proyecto el sistema se inserta en un dispositivo compacto que se puede utilizar en cualquier entorno por lo cual miles de proyectos en el mundo se encuentran basado en Raspberry pi. El proyecto surge debido a la demanda de organización interna en los estacionamientos, donde se generan inconvenientes por el desconocimiento de datos de los propietarios por parte del personal encargado de los estacionamientos, dado que se presentan horas específicas de mayor afluencia vehicular causando inconvenientes entre los usuarios, esto debido a que ciertos incumplen en el correcto estacionamiento obstruyendo a otros vehículos. Con la implantación del presente proyecto se automatiza la recolección de información de los propietarios y vehículos presentes en las instalaciones a fin de disponer un registro completo, enfocado en presentar notificaciones o llamados de atención a los propietarios de los vehículos infractores sin interrumpir en las instalaciones de la UMET.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The artificial intelligence-based system is a device similar to a Tablet. It is made up of various technologies and links software and hardware to achieve synchronized tasks such as the collection of license plates. Today OCR (Optical Character Recognition) technology is reliable, and it can also be inserted in the work flow of the networks. With regards to the physical aspect of the project, this technology will be built into a compact device that can be used in any type of environment, as evidenced by thousands of similar projects based on Raspberry pi technology. The project arises from the need for internal organization in the parking lots due to inconveniences generated because of the lack of information on the owners by the personnel in charge of the parking lots, given that there are specific times of greater vehicular influx causing inconveniences among users. This is due to incompliance with correct parking regulations by some people, thus obstructing other vehicles. The implementation of this project will make it possible to collect information about the vehicles and their owners, thus providing a full record of the facility&#8217;s activity and enabling the personnel to call the attention on incompliant owners without interruption to the facility&#8217;s regular activities.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[reconocimiento óptico de caracteres]]></kwd>
<kwd lng="es"><![CDATA[placas automotrices]]></kwd>
<kwd lng="en"><![CDATA[Artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[Optical Character Recognition]]></kwd>
<kwd lng="en"><![CDATA[automotive license plates]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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