• DocumentCode
    165911
  • Title

    A low cost data acquisition system from digital display instruments employing image processing technique

  • Author

    Ghosh, Sudip ; Shit, Suprosanna

  • Author_Institution
    Electr. Eng. Dept., Jadavpur Univ., Kolkata, India
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    1065
  • Lastpage
    1068
  • Abstract
    The use of digital instruments in industries and laboratories is rapidly increasing as they are simple to calibrate and have relatively high precision. In this paper, an automatic data acquisition system is proposed using OCR technique from digital multi-meter and other similar digital display devices. The input image is taken from a digital multi-meter having LCD seven segment display using a webcam. The image is then processed to extract numeric digits which are recognized using a feedforward neural network. The recognized values may be then exported to a spreadsheet for graph plotting and further analysis. A distinct advantage of this method is that it can automatically detect decimal point as well as negative sign. This setup can be used in real time systems employing a wide variety of digital display instruments, with high accuracy.
  • Keywords
    computerised instrumentation; data acquisition; display devices; feedforward neural nets; graph theory; image processing; multimeters; optical character recognition; LCD seven segment display; OCR technique; automatic data acquisition system; digital display devices; digital display instruments; digital multimeter; feedforward neural network; graph plotting; image processing technique; low cost data acquisition system; spreadsheet; webcam; Agriculture; Image segmentation; Laboratories; Neurons; Adaptive Thresholding; Data acquisition; OCR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968229
  • Filename
    6968229