Cursor Control Using Eye Ball Movement

A Few people and groups are not able to operate the computer because of their illnesses. In this scenario, it is more sound, to introduce a method of computer operation, which is easily accessible, even considering the disabilities of the differently abled. The Human eye can be considered as a perfect substitute of computer operating hardware. In this paper an Internet protocol camera has been used to take the image of an eye frame for cursor movement. In this regard, we need to focus on the job of the EYE, to begin with. For Pupil identification we are using Raspberry pi which can deal with the cursor of the computer and in this task, even an Eye Aspect Ratio (EAR) is ascertained which talks to the snaps of the eye (left or right) by utilizing the Open Source Computer Vision module of the Python programming dialect. The main goal of our proposed technique is to enhance the computer experience of the physically challenged, to help them overcome difficulties like usage of a mouse.