A Python Based Machine Learning Framework for Eye Blink Detection with BlueEye Technology

This research study discusses the results of an Eye Blink Technology, Eye Blink technology enables interaction with digital interfaces through eye movement tracking, offering a hands-free method for controlling devices. This technology utilizes computer vision techniques, such as those provided by OpenCV and MediaPipe, to detect and track facial landmarks. It captures real-time video from a webcam and processes each frame to detect the positions of eyes and movements thereof. Mapping eye landmarks to screen coordinates is then used by the system to convert movement of eyes into movement of the cursor, while it lets people interact with the system without touching the monitor- eye blinks translate to clicks. This can be basically credited to the immense potential for access tools, which make access to computers much more natural and effective for limited mobility users.