EYE-BALL CURSOR MOVEMENT CONTROLLING USING OPENCV IN PYTHON

The Eye-Ball Cursor Movement project proposes an innovative approach to overcome the limitations of traditional input devices. By using OpenCV, the system analyzes live video feed from a webcam to detect and track the user’s eye movements accurately. The Eye-Ball Cursor Movement project proposes an innovative approach to overcome the limitations of traditional input devices. By using OpenCV, the system analyzes live video feed from a webcam to detect and track the user’s eye movements accurately. An individual Human computer interference system is being introduced. In olden times, as an input device the mouse and keyboard were used by human computer interference system. Those people who are suffering from certain disease or illness cannot be able to operate computers. The idea of controlling the computers with the eyes will serve a great use for handicapped and disabled person. Also, this type of control will eliminate the help required by another person to handle the computer. This measure will be the most useful for the person who is without hands through which they can operate with the help of their eye movements. The movement of the cursor is directly associated with the of the pupil. Hence our first step would be detecting the center of point pupil. This process of pupil detection is implemented using the OpenCV.