Ball Detection and Tracking through Image Processing using Python

In this paper, the ball detection and tracking through image processing using python is presented. The Ball Detection and Tracking through Image Processing using Python is a project that aims to identify and track a ball in real-time using computer vision techniques. The project involves the use of a camera to capture the video of the ball, which is then processed by the software using OpenCV library in Python. The project comprises two stages, i.e., ball detection and tracking. In the first stage, the algorithm identifies the ball in the video frame by detecting the circular shape of the ball. The second stage involves tracking the ball's movement by using optical flow techniques. The software is designed to run on a Raspberry Pi or a PC, and it is capable of processing video in real-time. The output of the software is the position of the ball, which is displayed on the screen. The position can also be used to control other devices, such as a robot, to follow the ball's movement. The project has several applications, such as in sports analytics, where it can be used to track the movement of a ball in a game like football or basketball. It can also be used in industrial automation, where it can be used to track the movement of objects on a conveyor belt. Overall, the Ball Detection and Tracking through Image Processing using Python project is an excellent example of the application of computer vision techniques in real-time video processing. It has the potential to revolutionize various industries and open up new possibilities for automation and analytics.