ACTIVE CONTOURS METHOD IMPLEMENTATION FOR OBJECTS SELECTION IN THE MOBILE ROBOT’S WORKSPACE
Vol. 2 No. 2 (2024), Articles
Vol. 2 No. 2 (2024)

ACTIVE CONTOURS METHOD IMPLEMENTATION FOR OBJECTS SELECTION IN THE MOBILE ROBOT’S WORKSPACE

Articles
Published 2024-02-11
Vladyslav Yevsieiev
Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
Svitlana Maksymova Samariddin
Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
Nikolay Starodubtsev
Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
Amer Abu-Jassar
Faculty of Information Technology, Department of Computer Science, Ajloun National University, Ajloun, Jordan
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Keywords

Industry 5.0, Сomputer Vision Systems, Mobile Robots, Work zone

How to Cite

Vladyslav Yevsieiev, Samariddin, S. M., Nikolay Starodubtsev, & Amer Abu-Jassar. (2024). ACTIVE CONTOURS METHOD IMPLEMENTATION FOR OBJECTS SELECTION IN THE MOBILE ROBOT’S WORKSPACE. Journal of Universal Science Research, 2(2), 135–145. Retrieved from https://universalpublishings.com/index.php/jusr/article/view/4288
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Abstract

This article is a study on the implementation of the active contours method using mathematical descriptions to identify objects in the work area of a mobile robot. The program, developed in Python in the PyCharm 2022.2.3 (Professional Edition) environment, is based on the principles of the active contour method, ensuring accurate selection of objects in images. Experiments conducted on matchbox contour extraction with the help of ESP32-Cam module confirm the effectiveness of the method in real-world conditions, demonstrating its potential for application in various fields of mobile robotics and computer vision.

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