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Vision System for Acquiring Results from Analog Gauges

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Mechatronics 2019: Recent Advances Towards Industry 4.0 (MECHATRONICS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1044))

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Abstract

The following article presents a concept of a vision system for acquiring results from analog gauges. System uses machine vision techniques combined with modern algorithms of image processing. During it’s operation it measures the angle defined by the gauge’s tip and divides it by the angle defined by far left and far right lines of dial’s graduation. The fraction obtained in this way is multiplied by the current scope of work, what gives the final result. In addition to a more detailed explanation of the operation of the system, the article also provides an explanation of the basic methods of image analysis and processing, as well as the results of the research carried out with the help of the system along with their commentary.

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References

  1. Malina, W., Smiatacz, M.: Rozpoznawanie obrazów. Ak. O. W. EXIT, Warszawa (2011)

    Google Scholar 

  2. Stokes, M., Anderson, M., Chandrasekar, S., Motta, R.: A Standard Default Color Space for the Internet – sRGB. https://www.w3.org/Graphics/Color/sRGB

  3. National Instruments: IMAQ Vision Concepts Manual. October 2000 Edition. Part Number 322916A-01

    Google Scholar 

  4. Schowengerdt, R.A.: Remote Sensing: Models and Methods for Image Processing, 3rd edn. Academic Press, Cambridge (2007)

    Google Scholar 

  5. Tłaczała, W.: Środowisko LabVIEW™ w eksperymencie wspomaganym komputerowo. Wydawnictwa Naukowo-Techniczne, Warszawa (2002)

    Google Scholar 

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Correspondence to Grzegorz Kopeć .

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Kopeć, G., Nowak, P. (2020). Vision System for Acquiring Results from Analog Gauges. In: Szewczyk, R., Krejsa, J., Nowicki, M., Ostaszewska-Liżewska, A. (eds) Mechatronics 2019: Recent Advances Towards Industry 4.0. MECHATRONICS 2019. Advances in Intelligent Systems and Computing, vol 1044. Springer, Cham. https://doi.org/10.1007/978-3-030-29993-4_41

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