• DocumentCode
    1887422
  • Title

    New concepts of network camera for measuring images

  • Author

    Min, Wang ; Zhan-Hua, Huang

  • Author_Institution
    Opto-elec. Info. Sci. & Tech. Lab. of MOE, TianJin Univ., Tianjin
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    389
  • Lastpage
    391
  • Abstract
    This paper designs an event triggered and non-destructive readout industrial intelligent camera (ETNDRIIC) that can be used in auto manufacturing systems. The main hardware of an ETNDRIIC includes DSP, FPGA, CMOS, and DM9000. FPGA is used as an interface between DSP and CMOS, and it is easy for an ETNDRIIC to support different image sensors with different driven processes. In this system, a new, optimized algorithm, a restricted Laplacian sharpening algorithm, is adopted and is realized in DSP. The noise of image is depressed effectively through the algorithm and edges of the image after processing the images is distinct, the details are also observed. The Ethernet interface is integrated to implement a long-distance image transmission. It is more convenient to build a network with the camera for any complex auto manufacturing systems, which need more image information. It is proved that an ETNDRIIC is an advanced piece of equipment that is able to gather industry images for measuring.
  • Keywords
    CMOS image sensors; cameras; computer integrated manufacturing; digital signal processing chips; edge detection; field programmable gate arrays; intelligent networks; local area networks; network interfaces; optimisation; CIMS; CMOS image sensor; DM9000 Ethernet controller; DSP; FPGA; auto manufacturing system; event triggered-nondestructive readout industrial intelligent camera; image edge detection; intelligent network camera; measurement image; network interface card; optimization algorithm; readout control; restricted Laplacian sharpening algorithm; CMOS image sensors; CMOS process; Digital signal processing; Field programmable gate arrays; Hardware; Image sensors; Intelligent sensors; Manufacturing industries; Manufacturing systems; Smart cameras; Event detect; Exposure control; Industrial Ethernet; Intelligent network camera; Real time image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
  • Conference_Location
    Taizhou
  • Print_ISBN
    978-1-4244-3987-4
  • Type

    conf

  • DOI
    10.1109/IASP.2009.5054627
  • Filename
    5054627