S1-B12-Cursor_Movement_With_Eyeball_Using_OpenCV #5
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The EyeBall Cursor Control project is a Python application that enables hands-free control of the computer cursor using real-time eye tracking. It leverages computer vision techniques, specifically using the MediaPipe library for face mesh and landmark detection, to track the user's eye movements through a webcam feed. By translating these movements into mouse cursor movements on the screen, users can interact with their computers without using their hands. The application also includes blink detection functionality, allowing users to simulate mouse clicks or trigger other predefined actions by blinking. It is designed to be cross-platform compatible, operating seamlessly on multiple operating systems with Python and required dependencies. Co-Authored-By: Chandu Haswanth Sai Sarath <146622212+Haswanthssch@users.noreply.github.com> Co-Authored-By: CH-SAI-RAGHAVENDRA <172471946+CH-SAI-RAGHAVENDRA@users.noreply.github.com> Co-Authored-By: Rakesh-Goud <124498785+Rakesh-Goud@users.noreply.github.com>
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341734522-34178012-5954-4b8c-aa56-fcfeb47c7a06.mp4
The EyeBall Cursor Control project is a Python application that enables hands-free control of the computer cursor using real-time eye tracking. It leverages computer vision techniques, specifically using the MediaPipe library for face mesh and landmark detection, to track the user's eye movements through a webcam feed. By translating these movements into mouse cursor movements on the screen, users can interact with their computers without using their hands. The application also includes blink detection functionality, allowing users to simulate mouse clicks or trigger other predefined actions by blinking. It is designed to be cross-platform compatible, operating seamlessly on multiple operating systems with Python and required dependencies.