Department of Engineering Technology, Savannah State University—Savannah, GA 31404, United States of America.
Received on 09 December 2023; revised on 20 January 2024; accepted on 22 January 2024
Machine learning based object detection as well as tracking that object have been performed in this paper. The authors were able to set a range of interest (ROI) around an object using Open Computer Vision, better known as OpenCV. Next a tracking algorithm has been used to maintain tracking on an object while simultaneously operating two servo motors to keep the object centered in the frame. Detailed procedure and code are included in this paper.
Machine learning; Tracking; Microcontrollers; Robot
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Md Rakibul Karim Akanda, Joshua Reynolds,, Treylin Jackson and Milijah Gray. Machine learning based object tracking. World Journal of Advanced Engineering Technology and Sciences, 2024, 11(01), 048–055. Article DOI: https://doi.org/10.30574/wjaets.2024.11.1.0021