The objective of this project is to develop a hands-free computer control system using Raspberry Pi, a USB web camera, and an eye blink sensor to enable cursor navigation and folder management through eye movements and blinks.
In this project, we propose a system that enables hands-free computer interaction using Raspberry Pi, a USB web camera, and an eye blink sensor. The goal is to create an accessible interface for individuals with limited mobility by harnessing eye movements and blinks to control the computer cursor and perform actions such as opening folders. The USB web camera captures the user's eye movements, which are processed in real-time by the Raspberry Pi using computer vision algorithms. The system interprets these movements to move the cursor in the corresponding direction on the computer screen (right, left, up, down). Additionally, when a blink is detected, if the cursor is positioned over a folder icon on the desktop, the folder is opened, facilitating efficient navigation and file management. This project integrates hardware and software components to demonstrate a practical application of assistive technology, enhancing the accessibility of computing devices for users with physical disabilities.
Keywords: Raspberry Pi ,USB web camera ,Eye blink sensor ,Eye movement detection, Computer vision,Assistive technology,Hands-free interaction,Accessibility,Cursor control, Folder opening
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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