IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 10 Issue 1 Electronics and Communication Engineering English January - February 2022 N N Y 2022 01 24 Computer Sciences HSV Values and OpenCV for Object Tracking English Y 43 48 Mir Mahpara Gulzar English Y Ravinder Pal Singh English N Dr Monika Mehra English N https://doi.org/10.55524/ijircst.2022.10.1.8 This research shows how colour and motion may be utilised to speed up the surveillance of things. Video tracing is a technique for detecting a huge vehicle over a long distance using a camera. The main goal of video tracking is to link objects in subsequent video frames. When objects move faster than the frames per second, maintaining connection might be difficult. Using Hue saturation space values and OpenCV in separate video frames, this article shows how to follow moving objects in real-time. We begin by finding the HSV value of the object to be tested, and then we understand the steps along. The tracking of the items was shown to be 90 percent accurate. English HSV, OpenCV, Object tracking, Video frames, GUI https://ijircst.org/abstract.php?article_id=647