• Linesh Pradip Gahival
• Prafull Pradeep Sonawane
• Aniket Arun Shinde
• Prof.S.V.Mahale

In the contemporary era, computer vision has achieved remarkable advancements, enabling computers to identify their owners through sophisticated image processing programs. This technological progress has permeated various aspects of daily life, manifesting in applications like Face Recognition, Color Detection, and Automatic Cars. The current project leverages computer vision to innovate an Optical mouse and keyboard system driven by hand gestures. In this project, the computer's camera captures images of different hand gestures performed by an individual, translating these gestures into movements of the mouse cursor. The gestures can also trigger right and left clicks, simulating the functions of a traditional mouse. Similarly, keyboard functions are integrated, with distinct gestures such as one-finger movements for alphabet selection and four-finger swipes for left and right commands. This setup acts as a virtual mouse and keyboard, eliminating the need for wires or external devices. The sole hardware requirement for this project is a webcam, and the coding is executed using Python on the Anaconda platform. The methodology involves the generation of convex hull defects, and through defect calculations, an algorithm is developed. By mapping these defects to mouse and keyboard functions, the computer interprets the user's gestures accurately. By associating specific gestures with mouse and keyboard actions, the system comprehends the user's intentions and responds accordingly. This innovative approach not only demonstrates the power of computer vision but also showcases its practical application in creating an intuitive and wire-free interface for interacting with computers. The utilization of hand gestures as input commands enhances user experience and expands the possibilities of human-computer interaction. The project exemplifies the versatility and convenience that modern computer vision technologies bring to our daily lives.

Virtual Keyboard, EEG, Electroencephalogram, Brain Computer Interface (BCI), RGB, Touch-Less Keyboard.

"Virtual mouse control using Machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.d610-d615, November-2023, Available :http://www.jetir.org/papers/JETIR2311376.pdf

"Virtual mouse control using Machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppd610-d615, November-2023, Available at : http://www.jetir.org/papers/JETIR2311376.pdf