A project on hand detection and hand gesture recognition developed using OpenCV on Python 2.7.

Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python

This project implements real-time hand gesture recognition using Python, OpenCV, and MediaPipe. It tracks hand landmarks from a webcam feed and identifies gestures such as Open Palm, Fist, Thumbs Up/Down, Peace Sign, and more. The system supports both left and right hands and displays detected gestures directly on the video stream.

Python uses OpenCV image capture, Mediapipe to realize gesture and human movement detection and recognition; The recognition results are synchronized to Unity in real time to realize the recognition of the moving body structure of hand and character models in Unity

This Python project utilizes the MediaPipe library and OpenCV to perform real-time hand gesture recognition. With this code, you can control your computer's cursor and keyboard using hand gestures.

This project is a simple implementation of a game controller using Python and OpenCV. With this controller, you can control games using hand gestures captured by a webcam. This project is a great way to learn about computer vision, gesture recognition, and game development.

A lightweight and efficient Python-based tool for real-time hand gesture recognition using OpenCV and Mediapipe.

Hand Gesture Recognition-opencv

Basic hand gesture recognition programme in python using an open source library OpenCV.

Hands-on computer vision projects exploring face recognition, object tracking, digit classification, and gesture detection using Python and OpenCV.

The project achieves recognition of Indian Sign Language using hand gestures from live video capture. Implemented using Python with OpenCV, TensorFlow and Keras.

This project demonstrates a real-time hand gesture recognition system using Python, OpenCV, and Gemini AI by Google.

Hand Gesture Recognition is a significant area of research in Human-Computer Interaction (HCI) technology. This project demonstrates the development of a real-time Hand Gesture Recognizer using the MediaPipe framework, TensorFlow, and OpenCV in Python.

Musition: Real-time emotion-driven music recommendations system using AI and deep learning. Automated facial and hand gesture data collection and emotion recognition training, reducing manual work by 50%. Tech stack: Streamlit-WebRTC, OpenCV/MediaPipe, TensorFlow/Keras, NumPy, Python, JavaScript.

The ASL Recognition System is a real‑time American Sign Language (ASL) gesture‑recognition application built with Python, TensorFlow Lite, OpenCV, and MediaPipe. It captures hand landmarks from a webcam, processes them through a lightweight neural network, and instantly translates the gestures into alphabet letters (A‑Z).

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.

🤖 Finger Icon Detection 🤟 A Python project using OpenCV and MediaPipe to track hand gestures in real-time and overlay custom icons above raised fingers (thumb, index, pinky). Perfect for experimenting with hand tracking and gesture recognition.

🤟 ASL Gesture Recognition using OpenCV & SVM 🎯 A real-time system to recognize ASL alphabets (A–Z) using just a webcam! Built with 🐍 Python, 📷 OpenCV, and 🤖 SVM, it captures hand gestures, extracts HOG features, and predicts the sign language letter. 🔧 Tech Used: 📸 Webcam + OpenCV 🧠 SVM Classifier 📊 HOG Features 🐍 Python

A touchless air drawing system using computer vision and hand gesture recognition built with Python, OpenCV, and MediaPipe Tasks API.

A real-time Rock-Paper-Scissors game built using Python, OpenCV, and MediaPipe for hand gesture recognition and computer vision interaction.

The *Enhanced Facial Expression and Hand Gesture Recognition System* is a real-time Python application that detects and recognizes facial expressions and hand gestures using a webcam. It leverages powerful libraries like OpenCV, MediaPipe, and Scikit-learn for advanced landmark tracking, gesture classification, and expression recognition.

This repository contains the source code for a real-time Rock, Paper, Scissors game prototype developed as part of the Computer Graphics and Visualization coursework. Implemented in Python using OpenCV, the project features hand gesture recognition triggered by the phrase "Rock, Paper, Scissor, Shoot," with image processing

A real-time Sign Language Detector using computer vision techniques, particularly hand gesture recognition. The system leverages OpenCV for image processing and python-based machine learning frameworks, to recognize hand gestures and translate them into readable text. MediaPipe is used to efficiently track hand movements.

The Gesture-Controlled Car Project allows users to control a car's movement using hand gestures captured by a webcam. By leveraging the power of Python, OpenCV, Mediapipe, and Arduino, this project brings together computer vision, real-time hand gesture recognition, and hardware communication to create an engaging and intuitive user experience.

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.

This project aims to detect and track hand movements in real-time using a webcam feed. Leveraging Python, OpenCV, and MediaPipe, the system captures hand landmarks and tracks gesture patterns. This can be used for various applications such as gesture-controlled interfaces, sign language recognition, virtual drawing tools, and more.

Developed an innovative Python-based hand gesture recognition interface that enables touchless control of mouse and keyboard actions using OpenCV and MediaPipe. The project allows real-time execution of commands like left-click, right-click, cut, copy, and paste with intuitive hand movements.

🎯 Hand Gesture Recognition with Finger Counting & Audio Feedback A Python project that detects hands and fingers in real-time using MediaPipe & OpenCV, counts extended fingers, displays the count, and plays a sound for each count. Optimized for smooth performance with asynchronous audio playback.

Hand Gesture Recognition using OpenCV and Python.

Advanced AI system for hand gesture and face recognition control built with Python and OpenCV.