You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.
This OpenCV project enables remote control of sound playback using wireless communication. It lets users adjust the master volume of the central device using finger gestures, enhancing convenience and user experience.
You can control the volume using just your hand! with big changes since the previous program, I'm updating my previous project, but with improvements in code and functionality.
An application that uses your webcam and, using Google's MediaPipe computer vision package, lets you control the master volume of your computer based on how close your index finger and your thumb are to each other
This project aims at building a 100% touchless desktop controller using gesture recognition, with initial functionalities like touchless mouse and keyboard, and gesture-based volume adjustement
This is an innovative project on hand gesture recognition using machine learning techniques to control media playback functions. The project utilizes the MediaPipe framework for real-time hand detection and tracking, along with pyautogui and pycaw libraries for controlling keyboard, mouse, and audio functions. They provide Real-Time Processing.