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  <titleInfo>
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    <title>sion module for smart ping pong collector robot</title>
  </titleInfo>
  <titleInfo type="alternative">
    <title>Vision module for smart ping pong collector robot</title>
  </titleInfo>
  <name type="personal">
    <namePart>Mohd Baihaqi Mohd Adenan</namePart>
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    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2007</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>42 p. : ill. (some col.) ; 30 cm. + 1 computer disc</extent>
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  <abstract>The purpose of this project is to design and develop a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the choose image. This system which can fully recognizing the types of the data had been add in the data storage or called as training data. The Graphic User Interface in Neural Network toolbox is used. This is the alternative way to change the common usage of the MATLAB which are use the command insert at command window. From this kind of system, we just need to insert the features data or training data. The recognition done after we insert the test data. The system will recognize whether the output is match with the training data. Then output will produce a kind of graph that describes the feature of the data which is same as the training data.-Author</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Mohd Baihaqi Bin Mohd Adenan</note>
  <note>Project paper (Bachelor of Electrical Engineering (Power systems)) -- Universiti Malaysia Pahang - 2007</note>
  <subject authority="lcsh">
    <topic>MATLAB</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Robot vision</topic>
  </subject>
  <identifier type="isbn">THE0006077(Local)</identifier>
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