A computer vision–powered Virtual DJ controller Turn your webcam into a virtual DJ deck! AirBeatz lets you control volume, speed, pitch, and track navigation using intuitive hand gestures in real time.

Control mouse cursor, mouse scroll and volume using hand gesture

✌️Using this you can control your PC/Laptop volume by Hand Gestures created with Python.

AI Hand Controller uses Computer Vision to recognize hand gestures and control various functions on your computer. The application can control system volume and YouTube video playback speed through hand gestures via webcam.

Using this you can control your PC/Laptop volume by Hand Gestures (pinch-in, pinch-out) created with Python.

Gesture recognition helps computers to understand human body language. This helps to build a more potent link between humans and machines, rather than just the basic text user interfaces or graphical user interfaces (GUIs). In this project for gesture recognition, the human body's motions are read by computer camera. The computer then makes use of this data as input to handle applications. The objective of this project is to develop an interface which will capture human hand gesture dynamically and will control the volume level. For this, Deep Learning techniques such as Yolo model, Inception Net model+LSTM, 3-D CNN+LSTM and Time Distributed CNN+LSTM have been studied to compare the results of hand detection. The results of Yolo model outperform the other three models. The models were trained using Kaggle and 20% of the videos available in 20 billion jester dataset. After the hand detection in captured frames, the next step is to control the system volume depending on direction of hand movement. The hand movement direction is determined by generating and locating the bounding box on the detected hand.

Control the volume up and down using the hand gesture with the OpenCV

A Hand Gesture Volume Control application made using OpenCV & Mediapipe

Control your music player with hand gestures. Wave, swipe, or show a thumbs up to change tracks, adjust volume, and play/pause music using real-time computer vision and gesture recognition.

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. 🖐️🖱️

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.

aiocv is a Python Library Used to Track Hands, Track Pose, Detect Face, Detect Contours (Shapes), Detect Cars, Detect Number Plate, Detect Smile, Detect Eyes, Control Volume Using Gesture, Read QR Codes and Create Face Mesh on Image/Video.

In this project I used OpenCv, Mediapipe and Pycaw.

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This repository provides a robust solution for controlling your mouse and audio volume using hand gestures, leveraging the advanced features of Mediapipe and OpenCV. With real-time hand tracking and gesture recognition, users can effortlessly browse through the system and adjust volume levels by simply moving their hand.

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Hand Gesture Volume Control is a Python project that allows you to control the system's audio volume using hand gestures detected from a webcam input.

Volume Control Gesture lets users adjust system volume using hand gestures 🖐️🎚️. It uses OpenCV, MediaPipe, and Pycaw for real-time tracking. Simply move your fingers to increase or decrease the volume! 🔊

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.

Spotify Gesture Control is an innovative application that allows you to control Spotify using hand gestures via a webcam. With MediaPipe and Pygame, the application detects hand movements to adjust the volume and change tracks on Spotify.

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.

ML (computer vision) project

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A Hand Gesture Volume Control application made using OpenCV & MediaPipe

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.

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

Effortlessly control your computer’s volume with a simple hand gesture using OpenCV, MediaPipe, and pycaw.