Computer vision based hand gesture controlled mouse pad and volume controller for the Windows OS with speech to text typing functionality

Here's a complete Python project for a Hand Gesture Volume Controller using webcam. This project uses OpenCV, MediaPipe, and pycaw (for controlling system volume on Windows). It adjusts the system volume based on the distance between the thumb and index finger.

Real-time gesture-based microphone volume control using MediaPipe, OpenCV & PyCAW — enabling touchless human-computer interaction.

A powerful iOS tweak that provides an independent, gesture-based volume control for the YouTube app, completely separate from the system volume.

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Volume Control using OpenCV | Python This project implements a hand gesture-based volume control system using OpenCV and Python. It detects hand movements via a webcam feed and automatically adjusts the system volume. Perfect for those interested in computer vision and gesture recognition.

A real-time hand gesture and distance-sensor-based mouse, scroll, and volume controller using Python, OpenCV, MediaPipe, and Arduino. This hybrid system enables touchless control of PC functions via hand gestures and ultrasonic sensor inputs.

This project presented a program that allowed user to perform hand gestures for easy Volume control. It is a vision-based hand Gesture system that does not require any special markers or gloves and can operate in real-time on a commodity PC/ laptop with low-cost cameras.​

The Hand Tracking Module is easy to be integrated within any project. It is based on Python 3.9 and 3.8 and supports python 3.9 and above. The module uses extensive libraries such as newly launched OpenCV 4.6 for best results and Mediapipe 0.8 to track hand movements and points more specifically. The applications which include volume control, gesture control and mouse pointer control uses libraries Pycaw, autopy, etc.

Hand Gesture-Driven Volume System lets users adjust their computer’s volume using hand gestures, providing real-time visual feedback on a web interface. It combines gesture tracking, audio control, and live updates to create an intuitive and interactive experience.

Hand gesture based system volume control using OpenCV, MediaPipe, and Pycaw

Gesture Control to change the volume of a computer. We first look into hand tracking and then we will use the hand landmarks to find gesture of our hand to change the volume. This project is module based which means we will be using a previously created hand module which makes the hand tracking very easy.

Real-time hand gesture-based volume control system using computer vision for intuitive and touchless human–computer interaction.

This Python program utilizes the power of OpenCV to control system volume based on hand gestures captured by your camera. By tracking specific gestures, it provides an intuitive and hands-free approach to adjusting volume levels. Feel free to explore the code, contribute, and enhance the functionality.

Magic Maestro 🪄✨🎹 is a DIY gesture-based MIDI controller that uses hand tracking and to bring instruments to life in real-time. Transform your gestures into dynamic expression and volume control with Python and a simple webcam.

This project enables gesture-based control of media playback (play/pause) and volume adjustment (up/down) using hand gestures. By detecting hand movements, the system allows users to interact with their media devices without needing to touch any buttons, offering a more intuitive and hands-free experience. Features: Play/Pause Controll and volume.

This is a project that shows how to create your own gesture based volume controller for your PC using Python.

Image Detection project, created in order to sharpen the skills in mediapipe library which was developed by Google. You can increase or decrease volume of your system using your index finger!

An Open CV python based project to control volume using hand gestures

A Python-based volume controller using OpenCV and MediaPipe that allows you to control your system volume with simple hand gestures via webcam.

A computer vision-based system that allows you to control the volume of your computer using hand gestures.

Python-based hand tracking app that lets you control your PC's volume using simple hand gestures via your webcam

Control your system volume using simple hand gestures! GestureVolume leverages OpenCV, MediaPipe, and system commands to adjust volume dynamically based on finger distance. No need to touch your keyboard or mouse

MediaPipe-based project for controlling slides, adjusting system settings (brightness, volume), and managing multimedia using hand gestures. This hands-free solution demonstrates innovative applications of computer vision and gesture recognition for seamless interaction with a computer.

This project implements a hand gesture-based volume control system using a webcam. By detecting the distance between the thumb and index finger using MediaPipe and OpenCV, the system adjusts audio volume in real time via Pycaw. It features smooth volume transitions and intuitive control for a seamless user experience.

When finished this application should be able to control various functions of the computer based on hand gestures recognized on the webcam input. For example, controlling the volume, starting a certain program or skipping to the next song.

Gesture Control to change the volume of a computer. We first look into hand tracking and then we will use the hand landmarks to find gestures of our hand to change the volume. This project is module-based which means we will be using a previously created hand module which makes hand tracking very easy.

Gesture-based music players allow users to control playback functions, such as skipping tracks, adjusting volume, or pausing music, by performing specific hand movements in front of a camera or a dedicated sensor.

Hahaha have fun, A Python-based conductor simulator that uses hand gestures to control music playback tempo and volume. Leveraging computer vision and machine learning, this tool offers an interactive experience for users to conduct music in real-time.

AI hand gester mouse project is a AI based project in which you can assess the volume control with gestures without physically touching the mouse or the system. This project detects the hand and counts the fingers with the first finger up and thumb up all fingers down you can change the volume up and down and with pink finger up with index finger and thum it locks the volume to the specific volume give by the gesture. The project is made using python language.