The use of Optical Markers in The Angular Position Control System of Objects
Fares Abu-Abed1, Alexey Khabarov2
1Fares Abu-Abed, Faculty of International Academic Cooperation, Tver State Technical University, Tver, Russian Federation. Russia.
2Alexey Khabarov, Faculty of Information Technologies/ Tver State Technical University, Tver, Russian Federation. Russia.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 99-102 | Volume-8 Issue-5, June 2019 | Retrieval Number: D6690048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Relevance and goals: Pattern recognition systems are increasingly used in modern technology. The development of the theoretical base of image processing and the widespread use of free open source libraries make it possible to use new solutions in a variety of applied problems. One of these tasks is to determine the angular position of the object in the study of its radar response. A feature of the task is the impossibility of direct control of the position of the object through the mechanism of its drive, and the use of additional position sensors is also unacceptable. The purpose of this study is to determine the possibility of practical use of optical markers for solving the problem, as well as assessing the quality characteristics of recognizing markers of various types.Materials and methods: The solution of the problem was achieved using the methods of controlling the position of an object by optical markers by analyzing the image of the object. At the same time, the functions of the OpenCV machine vision library adapted to the task and the general elements of the machine vision theory were used. Also, a hardware platform was chosen that provides autonomous device execution, taking into account the required performance. Results: In the course of the work, a choice of suitable types of optical markers was made and qualitative characteristics were obtained for determining the coordinates of markers in different observation conditions. The library functions were adapted to work with the selected markers. The analysis of the speed characteristics of the system when working on the selected hardware platform. Findings: Studies have shown the possibility of practical use of optical markers for solving the problem, and also allowed to choose the most suitable type of markers. The selected hardware and software platform provides the ability to solve problems in real time.
Keywords: Optical Markers, Pattern Recognition, Angular Position; Radar, Webcam, Real Time, The Center of Mass of Optical Marker, Tracking Algorithms, Opencv Library
Scope of the Article: Pattern Recognition