Definition of dynamic characteristics of pointer measuring devices on the basis of automatic indications determination

• Autorzy: Kucheruk V. , Kurytnik I. , Kulakov P. , Lishchuk R. , Moskvichova Y. , Kulakova A.

Identyfikatory

DOI

10.24425/acs.2018.124709

• Języki publikacji: EN

Abstrakty

EN

The article presents the method and algorithm of automatic pointer measuring devices (voltmeter, manometer, metronomes etc.) indications determination in order to determine their dynamic characteristics with the help of web-camera and personal computer. The results of testing and experimental research of developed tool for determining the dynamic characteristics of pointer measuring devices are given. Using this method, the algorithm and the software developed, the process of determining the dynamic characteristics of the pointer measuring devices was automated. The time of recognition and calculation of one measured value for a dual-core processor and webcam with a resolution of 0.3 Mp averages 250–330 ms.

Słowa kluczowe

EN

pointer measuring devices; binarization; skeletonization; recognition; dynamic characteristics

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2018
• Tom: Vol. 28, No. 3
• Strony: 401--418
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wykr., wzory

Twórcy

autor

Kucheruk V.

• Department of Metrology and Industrial Automation, Faculty of Computer Systems and Automation, Vinnytsia National Technical University, 95 Khmelnytske shose, Vinnytsia, Ukraine

autor

Kurytnik I.

• Department of Management and Production Engineering, State Higher School in Oswiecim, Kolbego, 8 str., Oswiecim, Poland

autor

Kulakov P.

• Department of Metrology and Industrial Automation, Faculty of Computer Systems and Automation, Vinnytsia National Technical University, 95 Khmelnytske shose, Vinnytsia, Ukraine

autor

Lishchuk R.

• Department of Tourism and Hotel and Restaurant Affairs, Faculty of Management, Uman National University of Horticulture, 1 Instytutska str., Uman, Ukraine

autor

Moskvichova Y.

• Department of Musicology and Instrumental Training, Faculty of Preschool, Elementary Education and Arts, Vinnytsia State Pedagogical University, 32 Ostrozky str., Vinnytsia, Ukraine

autor

Kulakova A.

• Department of Metrology and Industrial Automation, Faculty of Computer Systems and Automation, Vinnytsia National Technical University, 95 Khmelnytske shose, Vinnytsia, Ukraine

Bibliografia

• [1] G. J. Chi, L. Liu, J. L., Z. Jiang and G. Zhang: Machine Vision Based Automatic Detection Method of Indicating Values of a Pointer, Mathematical Problems in Engineering, 2015, (2015), Article ID 283629, 19 pages.
• [2] D. Alves de Lima, G. A. Silva Pereira and F. H. de Vasconcelos: Computer Vision System to read Meter Displays, 16th IMEKO TC4 Symposium Exploring New Frontiers of Instrumentation and Methods for Electrical and Electronic Measurements, Sept. 22–24, 2008, Florence, It, 22 August 2008, 1-5.
• [3] J. Canny: Computational Approach To Edge Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, 8(6), (1986), 679-698.
• [4] J. Bernsen: Dynamic Thresholding of Grey-Level Images, Proc. of the 8th Int. Conf. on Pattern Recognition, Paris (1986), 1251-1255.
• [5] R. Lishchuk, V. Kucheruk and I. P. Kurytnik: Adaptive binarization with non-uniform image illumination, Pomiary Automatyka Robotyka, 6, (2014), 72-76.
• [6] T. Huang, G. Yang and G. Tang: A fast two-dimensionalmedian filtering algorithm, IEEE Trans. Acoust., Speech, Signal Processing, 27(1), (1979), 13-18.
• [7] R. I. Lishchuk and V. Y. Kucheruk: Modified wave method of images skeletonization, Bulletin of the Engineering Academy of Ukraine, Kyiv, (2014), 73-77.
• [8] R. O. Duda and P. E. Hart: Use of the Hough Transformation to Detect Lines and Curves in Pictures, Comm. ACM, 15, (1972), 11-15.
• [9] Youtube: Youtube - Available at: http://youtube/A50yN6ev9Ys

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).