A fork of LibMP that allows mediapipe to be added as a dependency for C projects. Includes additional utilities for ease of use.

Use machine learning to control cars via hand gestures

A baby-level virtual human face capture engine based on mediapipe

✨👁️ Computer vision libraries, tailor built for NVIDIA jetson platforms! With docker images!

acomplish computer-vision tasks (object detection, face detection, face landmark, palm detection ... ) using mediapipe models

Fork of MediaPipe, Much Machine Learning.

May 2025 - A project that controls a robotic car using real-time hand gestures. This system uses a Python script with OpenCV and MediaPipe to detect hand movements via a webcam (input) and sends corresponding commands to an Arduino-powered car through UDP wifi, allowing it to navigate forward, backward, left, and right.

Face detector using the BlazeFace Mediapipe model (with both CPU and TPU delegates) written in C++

ESP32 robot car controlled by hand gestures via webcam.

An augmented reality system that allows users to place and manipulate virtual 3D cubes using a single camera and hand gestures.

Real-time Hand Gesture Control of a Robotic Arm via any Video Conference App

A real-time hand gesture recognition project combining Python, Mediapipe, and Arduino. Detects finger positions using a webcam and controls LEDs, a servo motor, and an LCD via serial communication. Perfect for robotics, IoT, and gesture-based control applications, showcasing seamless integration of computer vision and hardware.

안면 인식을 통해 집중력 향상을 도와주는 타이머 앱.

SegmeCam is an AI-powered Linux desktop webcam app that combines Selfie Segmentation and Face Landmark Detection for professional-grade real-time effects.

This project showcases the use of an ESP32-CAM with micro-ROS and an OLED screen to capture an image of a hand. The captured image is encapsulated in a custom micro-ROS message and sent to Huawei Cloud, where a Docker container running ROS2 Humble analyzes it using OpenCV and MediaPipe to identify whether the hand is showing rock, paper, or scissor

HandSaber is an Open Source project which allows users to control their computer and gaming systems using hand gestures. From controlling your music, to powering up your favorite games, HandSaber lets you wield technology like a Jedi master!

Modular real-time computer vision node for Raspberry Pi 5 & ROS 2 Jazzy. Features AI inference (MediaPipe Hand Tracking, YOLOv8), color tracking, and zero-lag architecture optimization.

This project used computer vision to detects and interprets hand gestures to control robotics hand.

Customizable HandTracked Puppets

Automation using gesture control with alert system