A pre-trained YOLO based hand detection network.

In this project we will be using the live feed coming from the webcam to create a virtual mouse with complete functionalities.

Simple Hand Tracking module and Controlling Volume through gesture

A python wrapper for Mediapipe's Multi-Hand Tracking

Simple hand landmarks detection and hand tracking module using openCV and mediapipe

his Python script utilizes OpenCV and MediaPipe to perform real-time hand tracking using a webcam. The code captures video input from the default camera, processes the frames to detect and track hand landmarks using the MediaPipe Hands module, and subsequently visualizes the landmarks on the live feed.

This project intends to make a drawing or annotating hands-free by using Hand tracking modules and virtually drawing on a Scanned document and is a major application of Computer Vision. The document is captured in real-time and stored in the system, which is then cropped to remove the unwanted edges and background and saved again. It uses edge d…

This project is a virtual drawing canvas that allows you to draw on the screen using hand gestures captured through your webcam. The application uses the OpenCV and Mediapipe libraries to track hand movements and recognize gestures, which are then translated into drawing actions on the canvas.

Control your mouse cursor using hand gestures! This script uses OpenCV, MediaPipe, and PyAutoGUI to track your hand and click by touching thumb and index finger.

With the Mediapipe library we can draw up to 21 landmarks in the hand area

Python Package to Detect Face, Hands, Pose, Objects by using webcam or by inputting image

AI based hand gesture tracking program for control media player functions. ( Play/Pause, Volume control, Brightness control)

Paint on a virtual canvas using your webcam and your hands with a selection of tools

The Virtual Hand Gesture Keyboard is an innovative and interactive project that offers a new way to type using hand gestures. This project leverages computer vision and machine learning techniques to track the user's hand movements and recognize specific gestures, which are then translated into virtual keypresses on the user's computer.

Used OpenCV , Google's mediapipe to Track Hand Gesture to Control System Volume

Hand Tracking , presentation slide control and picture movement control modules

This application can delete the objection.

This project allows users to control system volume with hand gestures detected by a webcam. It uses MediaPipe and OpenCV for real-time hand tracking. The distance between the thumb and index finger adjusts the audio volume interactively.