A demo hub that lets you try 15 MediaPipe recognition tasks from a single page. It covers face, hand, and pose detection, gesture recognition, image classification and segmentation, object detection, audio classification, language detection, and text classification. The processing runs inside the browser.
AI you play with a webcam
No install, no login — just turn on the camera. Move, and the screen follows. The fastest way to get a "whoa."
Allow camera access when asked. The video is processed on your device only and never sent anywhere.
Control it with your body
It reads your hands and body in real time — enough to play a game with gestures alone.
MediaPipe provides a pose recognition solution. It estimates the positions of 33 major parts of the entire human body and connects them to display them like a skeleton.
MediaPipe provides a solution for hand and finger tracking. It can track the movements of 21 key parts in 1-4 hands.
You can play the 2048 game with image recognition using CNN.
Become a character
Make a character that mirrors your face and moves — even a doodle that dances along with you.
You can create character animations using MediaPipe and TensorFlow. This feature recognizes a person's face or the entire person and makes the character move along.
This is an app that recognizes people's poses and faces in real time from captured videos and turns them into moving character animations.
This is an app that uses MediaPipe's FaceMesh to recognize faces and create virtual avatars based on them.
A motion capture AI that uses your webcam to make your doodles animate and mimic your movements in real-time.
Recognition turned into play
Hunt for objects with the camera, fight with your moves, and teach it yourself to steer Pac-Man.
This is a game where you find objects around you that match the presented emoticon. Images are predicted through CNN, and the prediction matches the correct answer (emoticon).
This is a game where you can control your character through motion recognition using TensorFlow and a camera. The game character follows the user's actions and attacks the opponent.
This is a Pac-Man game that allows you to manipulate direction through image recognition. A pre-trained MobileNet model was used to recognize motion in four directions.










