controlling LEDs using fingers with the help of arduino
This repository contains a Python-based hand gesture recognition system that allows users to control applications using simple hand gestures. The system leverages the MediaPipe framework for real-time hand tracking and finger counting. Users can interact with their computers hands-free, making it ideal for presentations, media playback, and more.
This repository contains code for a real-time hand gesture recognition system using MediaPipe and OpenCV. The project enables users to control music playback by detecting hand gestures captured through a webcam.
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, ge…
This Python script utilizes the OpenCV library to perform real-time hand gesture recognition using a webcam. It employs a pre-trained hand detection model from the HandTrackingModule to detect and track landmarks on the hand.
This is a computer vision-based raised finger counter program that utilizes the MediaPipe library to identify hand landmarks and extract relevant information to count the number of raised fingers in a live webcam feed.
This program is used to count the number of fingers open of your hand using openCV
This program is used to count the number of fingers open in your hand using openCV
Game that can be played with the help of a finger counter and hand tracking
Starter Modules of Computer Vision ✨
A simple yet powerful AI-powered tool that counts how many fingers you're holding up using your webcam in real time! Built with Python, OpenCV, and MediaPipe, this project is a great starting point for learning gesture recognition.
Machine Learning based program to trace your Hands and recognize your Fingers. Uses PC/Laptop Webcam for live detection.
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