VISION BASED VIRTUAL MOUSE USING OPEN CV

Abstract

The virtual mouse initiative is a unique project aimed at changing human computer interface through handsfree control and providing an alternative for traditional input devices such as the keyboard and mouse. Reducing expectations and enhancing mobility gives those with mobility limitations a complete solution. By means of state-of-the-art eye tracking technology, the system enables users to control the cursor using their gaze, hence eliminating the need of hand actions and substituting for typical input precise eye tracking. Identification of hand gestures also opens possibilities by means of which tasks including selection, scrolling, and system changes become more natural and engaging means of interaction. Although very common, traditional input devices could be challenging for someone with a disability or risk of repetitive strain injury; the virtual mouse provides a convenient and available solution. Powerful technologies including Python, OpenCV, and MediaPipe allow real-time image processing, gesture recognition, and accurate tracking; therefore, a smooth and fast user experience is assured. Apart from availability, the virtual mouse demonstrates its adaptability and scalability by its many applications in video games, virtual environment, and assistive technology. As technology progresses, this handsfree interface model shows the direction of natural and universal computing, hence increasing user interaction and underpinning digital independence..