An AI-based application which let us control the mouse cursor by moving finger in Air .

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.

Palmprint Recognition Server For Linux: This stands for palm-print recognition, palmprint identity, palmprint comparison, palmprint matching, hand landmark, hand tracking, hand detection

An AI-based application which let us do tasks by moving our Hand in Air .It is developed in python using OpenCv and MediaPipe

An AI software application package demonstrating hand landmarks detection use case on STM32N6 product.

Este projeto utiliza MediaPipe, Random Forest e técnicas de visão computacional para reconhecer sinais em Libras (Língua Brasileira de Sinais). Conta com scripts para criação de datasets, treinamento de modelos, busca de hiperparâmetros e inferência em tempo real com webcam.

Count fingers using mediapipe

A Hand Gesture Volume Control application made using OpenCV & MediaPipe

In this mini-project, we are detecting hands from a live camera and also landmarks of hands. For Hand detection, I used the Mediapipe library along with Opencv.

This project implements a real-time hand gesture recognition system using computer vision and machine learning. It allows users to control mouse movements, lock the screen, and play sound effects through specific hand gestures detected via a webcam.

This Script is used to differentiate the right and left hand of a human being and also find the coordinates of the 21 landmarks of each hand using the mediapipe library.

Mediapipe Application to generate sound from real-time hand landmarks.

Training/inference code for posture and gesture recognition