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  <titleInfo>
    <title>Automated food quality control solution using image processing techniques of color based tracking, color segmentation and shape context</title>
  </titleInfo>
  <name type="personal">
    <namePart>Gammanage, Nipun Chamalka</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Somrak Petchartee</namePart>
    <role>
      <roleTerm type="text">Chairperson  </roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Manukid Parnichkun</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Than Lin</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
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    <place>
      <placeTerm type="text">Pathum Thani</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2016</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>30 leaves : ill. (some col.) + 1 online resource</extent>
  </physicalDescription>
  <abstract>This research is carried out in order to provide an automated quality solution to inspect processed chicken pieces at real time. The machine also consists of an mechanism to flip the part in order to inspect the both sides of the chicken pieces and an algorithm to analysing its color, shape and size. The whole mechanism is carried out using 2ArduinoMega3 microprocessor board two USB cameras and the PC. Color based image tracking was used in the process, while the methods of shape context, contour analysis and color segmentation was used to inspect the shape, size and color of the chicken piece respectively. For the mechanical system two conveyor belts were used with a rotating gripper to flip the chicken piece. Results shows that the over roll error of inspecting chicken pieces and delivering results were not exceeded 18%.</abstract>
  <note>A capstone project submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Mechatronics Engineering, School of Engineering and Technology</note>
  <note>Capstone Project (B.Sc.)-Asian Institute of Technology, 2016</note>
  <subject authority="lcsh">
    <topic>Infrared imaging</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Image processing</topic>
    <topic>Digital techiniques</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Food</topic>
    <topic>Quality</topic>
  </subject>
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    <titleInfo>
      <title>Caps. Proj. ; no. ME-16-03</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B14064</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B14064</url>
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