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  <front>
    <journal-meta>
      <journal-id journal-id-type="issn">2583-7214</journal-id>
      <journal-title-group>
        <journal-title>TMP Universal Journal of Research and Review Archives</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2583-7214</issn>
      <publisher>
        <publisher-name>Ms Ashvi Jain</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.69557/ujrra.v2i4.60</article-id>
      <title-group>
        <article-title>ADVANTAGES OF AUTOMATED LICENSE PLATE RECOGNITION TECHNOLOGY</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Ahmad</surname>
            <given-names>Muhammad Baballe</given-names>
          </name>
          <xref ref-type="aff" rid="aff-1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Musa</surname>
            <given-names>Umar Farouk</given-names>
          </name>
          <xref ref-type="aff" rid="aff-2"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Dahiru</surname>
            <given-names>Muntaka</given-names>
          </name>
          <xref ref-type="aff" rid="aff-3"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Abimbola</surname>
            <given-names>Mustapha Babatunde</given-names>
          </name>
          <xref ref-type="aff" rid="aff-4"/>
        </contrib>
      </contrib-group>
      <aff id="aff-1">Department of Mechatronics Engineering, Nigerian Defence Academy (N.D.A), Kaduna, Nigeria</aff>
      <aff id="aff-2">Department of Architectural Technology, School of Environmental Studies Gwarzo, Kano State Polytechnic, Nigeria</aff>
      <aff id="aff-3">Department of Science Laboratory Technology, School of Technology, Kano State, Polytechnic, Nigeria</aff>
      <aff id="aff-4">Department of Electrical Engineering, Bayero University, Kano, Nigeria</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-01-08">
        <day>08</day>
        <month>01</month>
        <year>2024</year>
      </pub-date>
      <volume>2</volume>
      <issue>4</issue>
      <permissions>
        <copyright-statement>Copyright © 2024 Muhammad Baballe Ahmad</copyright-statement>
        <copyright-year>2024</copyright-year>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0">
          <license-p>
            This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
            <uri xlink:href="https://creativecommons.org/licenses/by/4.0">https://creativecommons.org/licenses/by/4.0</uri>
          </license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://tmp.twistingmemoirs.com/index.php/ujrra/article/view/60"/>
      <abstract>
        <p>Automatic Number Plate Recognition (ANPR) is a technology that can be utilized by mall and Movie Theater parking management as well as toll booths on roads, expressways, etc. to expedite the toll collection process. Automated systems to retain vehicle information are becoming more and more important as the number of vehicles rises. It is imperative that communication be prioritized in order to effectively manage traffic and reduce crime. Number plate recognition is a dependable technique for automatic vehicle identification. With current algorithms, which are based on the concept of learning, developing adequate outcomes takes a long time and a lot of experience. An innovative use of machine learning is Automatic Number Plate Detection, which recognizes photos and transforms them into text. Using picture segmentation, the system locates, picks up, and extracts the vehicle's image and number plate. Afterwards, optical character recognition technology is used to identify characters in the retrieved image. This technology is used in military zones, apartment buildings, and traffic surveillance.</p>
      </abstract>
      <kwd-group>
        <title>Keywords</title>
        <kwd>Safety</kwd>
        <kwd>Plate Number Detection</kwd>
        <kwd>Machine Learning</kwd>
        <kwd>Crime Reduction</kwd>
        <kwd>Traffic Management</kwd>
        <kwd>Recognition</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>