There are certain persons who cannot utilize computers due to medical conditions. The design of eyeball controlling is extremely beneficial, especially for those with disabilities and natural inputs in the future. Furthermore, putting the control system in place enables that, without the aid of a second person, they could operate the computers. This system is highly useful for physically handicapped people who will control the mouse cursor with their heads and eyes. The camera is used in this project to capture the image and video of eyeball movement. First, it determines the pupil’s middle spot of the eye. Then, a change in pupil spot results in a different action in the cursor, and then the pupil detection process is carried out using the free and open-source OpenCV library for image processing and computer vision. It can be used to identify objects, faces, and other features in images and videos. In this process, we connect to the webcam and command the mouse cursor to move in accordance with eyeball movement, after which each image from the camera is extracted. Then transmit it to the library called OpenCV to find the exact location of the eye center position. After detecting the center location of the eye, we can extract the coordinates (x and y) of the eyeball from a Python library named OpenCV and we can direct the cursor to move to the eyeball’s specified x and y coordinates.