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.

Gesture Controller using hand gestures for system control with Python, MediaPipe, and OpenCV. Interact with your computer through intuitive gestures for mouse movement, clicking, volume adjustment, and brightness control. 🖐️🖱️

We are trying to process a video so that we can control volume of a device with help of its camera using our palm or precisely our thumb and index fingers.

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.

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 Volume Control: A Flask web app using OpenCV, pycaw, and hand tracking for real-time volume adjustment via gestures. Stream video, detect hand positions, and control system volume seamlessly. Explore Python libraries like Flask, OpenCV, numpy, and pycaw in this interactive project! 🌟

My latest project: a Hand Gesture Volume Controller using Python, OpenCV, and MediaPipe! 🤚🎶 This innovative project leverages real-time hand tracking and gesture recognition to adjust system volume seamlessly. By detecting the distance between the thumb and index finger, the volume can be controlled intuitively and contactlessly.

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

The Spotify Gesture Controller is a Windows app that lets users control Spotify using hand gestures. Built with Python, MediaPipe, and OpenCV, it recognizes simple gestures to play, pause, skip tracks, and adjust volume. It features a GUI and auto-launches Spotify for a seamless, hands-free music experience.

A Python project that uses OpenCV and MediaPipe to recognize hand gestures in real time and control the system volume. Pinch or move your fingers to increase or decrease volume just by moving your hand in front of the camera. Perfect for automation, accessibility, or touchless control experiments.

“Control system volume using hand gestures with Python, OpenCV, and MediaPipe.”

Hand gesture-controlled media player using Python, OpenCV, and Mediapipe. Control playback, volume, and more with simple hand gestures."

Python Script for Volume Control using hand gestures recognized through OpenCV and MediaPipe

A real-time hand gesture recognition system to control system volume using OpenCV, MediaPipe, and Python.

A Python project using OpenCV and MediaPipe for real-time hand tracking and gesture-based system volume control.

A real-time hand gesture control system using OpenCV, MediaPipe, and Python to control media, volume, screenshots, and applications without touching the keyboard or mouse.

A Python-based real-time hand gesture control system using MediaPipe and OpenCV to perform tasks like writing, erasing, volume control, zoom operations, and more.

Touchless Human-Computer Interaction system to control volume and brightness using real-time hand gestures and voice commands. Built with Python, OpenCV, and MediaPipe.

This Python script uses hand gestures (index finger and thumb) and webcam to control music volume in real-time using OpenCV, PyAutoGUI, MediaPipe, and SimpleAudio libraries.

Python code uses MediaPipe and OpenCV libraries to create a hand gesture-controlled volume adjustment system using a webcam. The program captures video frames, calculates hand distance, maps to desired volume level, and displays real-time volume percentage.

#Computer Vision Projects This repository has the following touchless device control through hand gesture, built using Python and OpenCV. It comprises of: 1. Mouse Control: Pointer control, scrolling, and clicking via gestures. 2. Volume/Brightness Control: Configure system settings through gestures.

Control your computer using just your hand gestures! In this video, we’ll build an AI-powered gesture control system using Python, OpenCV, and MediaPipe to manage volume, brightness, and media playback—completely touchless! 🎮🚀 📌 What You’ll Learn: ✅ How to track hand gestures using MediaPipe

Hand gesture recognition system using MediaPipe and OpenCV for real-time tracking via webcam. Detects and counts gestures, controls brightness, and adjusts volume. Requires Python ≤3.10, OpenCV, MediaPipe, pyautogui, screen_brightness_control, and pycaw. Includes modules for hand tracking and main recognition script.

Hand gesture-based volume control using Python and OpenCV. Tracks thumb-index finger distance to adjust audio levels, with a lock feature for stable volume. Innovative, touch-free, and user-friendly.

Control volume with hand gestures! ✋ This Python project uses MediaPipe to track your hand and adjust system volume based on finger distance. A volume bar & indicator provide feedback. Requires OpenCV, MediaPipe, NumPy & pycaw.

A Python-based virtual mouse using OpenCV, Mediapipe, and PyAutoGUI for gesture recognition. Features include cursor control, left/right click, scrolling, volume and brightness adjustment, and more—all through hand gestures. 🚀🎮

A Python application that uses your webcam to control system functions like volume, media playback, and more through hand gestures. Built with OpenCV and MediaPipe.

This Python project utilizes OpenCV to control the volume of your computer using hand gestures. It calculates the distance between the thumb and index finger to determine the desired volume level.

This Python script utilizes the mediapipe library to perform hand tracking and control system volume based on hand gestures. The script uses the cv2 (OpenCV) library for image processing, pyautogui for controlling system volume, and mediapipe for hand tracking.