Acta Mechanica Slovaca 2025, 29(2):46-53 | DOI: 10.21496/ams.2025.013

Using a WEB-camera to Measure the Displacement of the Measuring Mark on a Rotating Object

Oleksandr Gorshenin
Zhytomyr Polytechnic State University, Chudnivska str., 103, Zhytomyr, Ukraine

This paper provides a scientific justification for the potential to achieve a specified accuracy in measuring the spatial position of a tracking mark on a controlled rotating object using data from a cost-effective video camera. We conduct an error analysis of the displacement measurements of the tracking marker between consecutive frames in a video stream. A mathematical model is proposed to estimate the root mean square (RMS) error in the displacement of the marker within the image plane for a remote, non-contact position measurement sensor. This model accounts for camera parameters, marker characteristics, lighting conditions, and image distortions induced by motion and optical limitations of the lens. Our study demonstrates that high accuracy in measuring the angular position of an object is attainable through careful sensor design and optimal placement. Furthermore, we provide practical recommendations regarding the specifications of sensor components, tailored to the operational conditions and desired measurement accuracy.

Keywords: remote measurement; spatial position sensor; digital image processing; measurement errors; CMOS matrix light receiver; radiometric calculations; linear distortions in images; video stream frame.

Received: May 28, 2025; Revised: May 28, 2025; Accepted: June 24, 2025; Published: June 10, 2025  Show citation

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Gorshenin, O. (2025). Using a WEB-camera to Measure the Displacement of the Measuring Mark on a Rotating Object. Acta Mechanica Slovaca, 29(2), 46-53. doi: 10.21496/ams.2025.013
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    References

    1. . Gonzalez, R. C., Woods, R. E. (2018). Digital Image Processing, 4rth edition. Pearson Education Limited, London.
    2. . Forsyth, D., Ponce, J. (2011). Computer Vision: A Modern Approach, 2nd Edition. Pearson Education, London.
    3. . Jeahne, B. (2004). Practical Handbook on Image Processing for Scientic and Technical Applications, 2nd edition. CRC Press LLC, Boca Raton, Florida, United States.
    4. . Gorshenin, O., Dubyna, O., Kondratenko, S., Boloban, S. (2007). Tsyfrova obrobka zobrazhen ta osnovy fotohrammetrii. ZhVIRE, Zhytomyr, Ukraine.
    5. . Gorshenin, O. Ye., (2024). Bezkontaktnyi datchyk kutovoho polozhennia oporno-povertalnoho prystroiu vuzkospriamovanoi anteny. XIV Mizhnarodna naukovo-technichna konfarencija "Informatsiino-kompiuterni tekhnolohii - 2024", 28-29 March, Zhytomyr, Ukraina. Zhytomyr: , 178-179.
    6. . Podchashynskyi, Yu. O. (2009). Pidvyshchennia tochnosti vymiriuvan parametriv obertovoho rukhu na osnovi alhorytmichnoi obrobky dvovymirnoi vymiriuvalnoi informatsii. Eastern-European Journal of Enterprise Technologies, 1(3(37)), 17-22.
    7. . Podchashynskyi, Y., Luhovykh, O., Tsyporenko, V. and Tsyporenko, V. (2021). Devising a method for measuring the motion parameters of industrial equipment in the quarry using adaptive parameters of a video sequence. Eastern-European Journal of Enterprise Technologies, 6(9(114)), 32-46. Go to original source...
    8. . Korobiichuk, I., Podchashinskiy, Y. (2021). Correlation mathematical model of video images with measuring information about geometrical parameters. 25th International Conference on Methods and Models in Automation and Robotics, MMAR, 23-26 Aug, 59-63. Go to original source...
    9. . Bilynskyi, Y. Y., Sukhotska, I. V. (2015). Alhorytm vyznachennia ta kontroliu heometrychnykh parametriv malohabarytnykh obiektiv skladnoi formy shliakhom subpikselnoi obrobky yikh zobrazhen. Metody ta prylady kontroliu yakosti, 1(34), 71-77.
    10. . OmniVision Technologies, Inc. Color CMOS QSXGA (5 megapixel) image sensor with OmniBSI™ technology. Datasheet (CSP3). Preliminary specification. Version 1.0. February 2010, from https://www.uctronics.com/download/Image_Sensor/OV5640_CSP3_DS.pdf.

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