Face Detection

Frame Processor Plugin to detect faces using MLKit Vision Face Detector for React Native Vision Camera!

self-contained face detector based on picojs

Simple detect faces from image

A robust and optimized JavaScript library for integrating Google's Teachable Machine models, supporting various image sources and providing efficient classification capabilities.

Face Detection using MLKit

detect face plugin for react-native-vision-camera

A React Native library providing face detection, recognition, and analysis capabilities using the InspireFace SDK and NitroModules.

A library for implementing multiples security measures in a nodejs application

Implement rapid face detection (Viola Jones) and pupil detection, all development by tehnokv/picojs

VisionCamera Frame Processor Plugin to detect faces using MLKit Vision Face Detector for react native vision camera V3

Face-api but without tensorflow js because it was in conflict

Face scanning package

This component offers the following features: - Live capture or from gallery import of Columbian identity documents thanks to Blink ID in browser SDK. - Liveness detection from a camera thanks to id3 Face PAD web component. - A face match process between

Detect and track faces in real-time from web camera and video stream

[](https://www.npmjs.com/package/@haseeamarathunga/face-detect) [](https://www.npmjs.com/package

Palm landmark prediction with MediaPipe Hands in Unity Engine.

A Javascript object-wrapper for the Affectiva REST api.

Angular 19+ library integration for OpenCV.js

Lets you use the power of Google Mobile Vision (https://developers.google.com/vision/face-detection-concepts) framework to detect faces on images.

Pose detection with MediaPipe BlazePose.

CCV face detection for NoFlo

The Crosswalk Project Extension for Face Tracking and Recognition

NativeScript MLKit Face Detection module

Fire. Base. Firebase!

JavaScript SDK for CompreFace - free and open-source face recognition system from Exadel

Detect and track faces in real-time from web camera and video stream

Ultra-high performance face detection in Unity Engine.

NodeJS module for implementing Acesso (acesso.io) CredService v2

Pose detection with MediaPipe BlazePose.

JavaScript SDK for CompreFace - free and open-source face recognition system from Exadel

An expo module for face detection using google's MLKit

Fork of face-api.js. JavaScript API for face detection and face recognition in the browser with tensorflow.js

Asynchronous OpenCV 4.x nodejs bindings with JavaScript and TypeScript API.

VisionCamera Frame Processor Plugin to detect faces using MLKit Vision Face Detector

Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API. (This fork defaults to disabled auto build, and checks for OPENCV4NODEJS_ENABLE_AUTOBUILD)

CenterFace anchor-free face detection in Unity Engine.

Asynchronous OpenCV 3.x / 4.x nodejs bindings with JavaScript and TypeScript API.

A module for real-time face detection using face-api.js

VisionCamera Frame Processor Plugin to detect faces using MLKit Vision Face Detector

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.

face recognition, face liveness detection for react-native

monitor and restrict activity on a webpage

This app provides access to detected insights for assets that can then be processed further in a sales team. This is part of the _MaaS_ project, providing the internal facing side of conversations.

Fixed VisionCamera Frame Processor Plugin to detect faces using MLKit Vision Face Detector for react native vision camera V4.7

Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API for Auto.js Pro.

Ultra-light fast generic face detector.

Realtime single-stage face detector in Unity Engine.

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

Create cover and profile pictures with face centered and uniform expected sizes.