• DocumentCode
    584788
  • Title

    Computer Vision system for cashew kernel area estimation

  • Author

    Narendra, V.G. ; Shetty, Dasharathraj K. ; Hareesh, K.S.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Manipal Inst. of Technol., Manipal, India
  • fYear
    2012
  • fDate
    26-28 July 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Carrying out Food and Agricultural product Quality Inspection manually is a laborious task. Maintaining consistent product quality is not possible due to human errors. Customer expectations are increasing day by day and seek products of high quality. However, in India the Inspection of Food and Agricultural produce is done manually in most of the cases. Work in the Computer Vision area is being extensively carried out these days to provide automated, non-destructive and cost-effective techniques to achieve this. Computer Vision uses Image processing as one of the intermediary tools to achieve the ultimate objective. Cashew is one of the important commercial crops of India. The objective of this research is to provide an image processing method for measuring cashew kernel Size (i.e. length and width/height) with an accurate and smallest relative error.
  • Keywords
    automatic optical inspection; computer vision; crops; food products; human factors; nondestructive testing; product quality; production engineering computing; size measurement; India; agricultural product quality inspection; cashew kernel area estimation; cashew kernel size measurement; commercial crops; computer vision system; cost-effective techniques; customer expectations; food product quality inspection; human errors; image processing method; nondestructive techniques; Estimation; Heating; Humans; Kernel; Manuals; Shape; Computer Vision; Food and Agricultural Products; Image Analysis; Image processing; Quality Inspection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2012.6395942
  • Filename
    6395942