Zero-model glasses detection for the browser. Detects whether a person is wearing glasses using webcam video frames and MediaPipe facial landmarks — no AI models, no server, no dependencies.

Expo module for detecting facial landmarks and rendering animated face mesh overlays

Reusable React component for capturing facial landmarks using MediaPipe FaceMesh

MediaPipe Vision Tasks. See the privacy notice at https://goo.gle/mediapipe-privacy.

FaceVerify uses a machine learning model within the browser to identify facial landmarks. No images or video is exfiltrated using this browser-based recognition process.

Reusable React component for capturing facial landmarks using MediaPipe FaceMesh

A factory for kernel functions

This library calculates the angle between three landmarks

Pretrained face landmarks detection model

MediaPipe face landmark detection neural network model for Unity Barracuda

MediaPipe face landmark detection neural network model for Unity Barracuda

This will remove the jitter and smooth the landmarks given by Mediapipe

Provides a node-red node for Facial Detection & Facial Recognition.

A Leaflet layer control with support for grouping overlays together

Facial Authentication for the Web

Store of important landmarks on OpenStreetMap

An advanced SDK for natural person identification through document scanning, facial recognition, designed for secure and efficient user verification.

Finger pose classifier for hand landmarks detected by TensorFlow.js handpose model

A Node.js library for running MediaPipe models that are typically browser-only. This package uses a local Express (web) server and Playwright (headless browser) to bridge the gap between Node.js and MediaPipe's browser-based APIs.

Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.