• DocumentCode
    3253011
  • Title

    ANN based intelligent vision and sorting system

  • Author

    Govender, P. ; Li, Z.

  • Author_Institution
    Dept. of Electron. Eng., Durban Univ. of Technol., Durban, South Africa
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    394
  • Lastpage
    399
  • Abstract
    This study focuses on the design of an intelligent machine vision and sorting system. The vision system uses an artificial neural network trained to perform recognition. A Bluetooth communication link facilitates communication between the intelligent recognition system and a robot control computer. Image feature vectors are transmitted to the remote control computer for recognition and a robot control computer guides the robot manipulator to place the object into an allocated position. The main advantage of the system is its relative simplicity, its excellent nosise immunity, its ability to generalize and the fault tolerance that its exhibits when faced with missing.
  • Keywords
    Bluetooth; data compression; fault tolerance; feature extraction; image coding; image recognition; manipulators; neural nets; position control; robot vision; sorting; telecommunication links; ANN based intelligent vision; Bluetooth communication link; artificial neural network; fault tolerance; image feature vector; intelligent machine vision; intelligent recognition system; noise immunity; position allocation; remote control computer; robot control computer; robot manipulator; sorting system; Artificial neural networks; Cameras; Computers; Production facilities; Robot vision systems; Robustness; Training; bluetooth; image compression; neural network; wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6483-8
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2010.5646588
  • Filename
    5646588