Security and Surveillance System using OpenCV.

Detection and recognizing the moving objects is needed in terms of learning direction, as a classification algorithm, it employs OpenCV and to create an integrated multi-module system, uses the Qt interface library. A software platform for achieving a moving object with a single objective detection and identification. In a picture, an item tracking system is used to monitor the motion trajectory of an object. First, we use OpenCV’s pick ROI function to choose an item on a frame and utilise the built-in tracker to monitor its movements. we utilize YOLO to identify and track objects in each frame using object centrefold and size comparison. Then, by identifying the item in the first frame using YOLO and tracking it with select ROI, we integrate YOLO detection with OpenCV’s built-in tracker. Video tracking is widely utilized in a variety of applications, including human-computer interaction, for surveillance, traffic control, and medical imaging. [ABSTRACT FROM AUTHOR]