This project aims to control the system volume and screen brightness using hand gestures. Use your left hand for brightness control and right hand for volume control. For detection of hand landmarks, mediapipe library is used.

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. 🖐️🖱️

Control your laptop using hand gestures - volume, brightness, media playback, and screenshots powered by OpenCV + MediaPipe.

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 is a small project that is useful to control volume and brightness using some hand gestures close the right-hand fingers from five fingers to zero to turn on/off this gesture control feature, While the feature is on, show two fingers of your left hand to increase the volume and one fingers to decrease the volume. Show your palm and move your index finger and thumb closer and far to control the brightness. Show both hands and make the finger count decrease from ten to zero to shut down your PC.

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To Control the Volume and Brightness in My System/laptop.

AI based website for virtual volume and brightness control using few hand gestures.

🖐️ Control your computer with hand gestures in the air. Touchless brightness, volume, and calculator using MediaPipe & OpenCV.

A Python application that allows you to control system volume, screen brightness, and media playback using hand gestures captured by your webcam.

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

Hand Gesture Control AI: A Python-based application that allows you to control your computer using hand gestures. Control volume, media playback, brightness, and more with simple hand movements detected through your camera.

Touchless System Controller using Hand Gestures (OpenCV + MediaPipe + PyAutoGUI + Pycaw + Brightness Control) A fully touchless mouse and system controller that uses real-time hand tracking to move the cursor, perform left/right click, scroll, control system volume, and adjust screen brightness using custom hand gestures all through your webcam.

Gesture-based virtual mouse control using real-time computer vision to detect hand gestures and manage system volume and brightness. Enables touchless interaction with the computer through intuitive hand movements.

#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.

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.

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

An Android app that lets you control volume and screen brightness using real-time hand gestures detected via the front camera. No touch required — just swipe in the air

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. 🚀🎮

CVision Control, a program that allows the user to control system brightness and volume using hand gestures. The code is made for members of the Stellenbosch University A.I Society, but is available to the public. All contributions are welcome.

HoloTouch is an application that allows users to interact with their PC using hand gestures, providing a touchless experience. Users can remotely control PC functions including volume, brightness, mouse position, and a variety of mouse clicks.

This Project offers a more intuitive approach to managing a maximum number of system controls such as mouse functionalities like cursor movement, text selection with the cursor, cursor locking, volume and brightness control with set feature, and area-based detection, Zoom controls & Tab Controls virtually using transition in hand Gestures.

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Python

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System Volume and Brightness Control Using Hand Gestures With OpenCV

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