Robust realtime face and facial landmark tracking on CPU with Unity integration

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

InspireFace is a cross-platform face recognition SDK developed in C/C++, supporting multiple operating systems and various backend types for inference, such as CPU, GPU, and NPU.

This repository contains my computer vision related libraries and their example projects showing their usage and results.

MediaPipe for VL

Project Babble Module for VRCFaceTracking v5. An open-source VR mouth tracking solution

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.

the moving objects tracking system via two axis camera motion (and as optionally n joint robotic arm) for raspberry pi distributions

Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified(3D Face Anti-Spoofing) on Android

Quick start examples for Banuba Face AR SDK on Android

WebAR.rocks face detection and tracking JavaScript library

The Face Recognition SDK with face liveness, face matching and face compare by employing face anti-spoofing, face landmarking and face feature extraction

Video content (YouTube) Face tracking system implemented in python.

Real-time face detection system for security checkpoints

NIST FRVT Top Ranked Face Recognition, iBeta 2 Certified Passive Liveness Detection (3D Face Anti-Spoofing) Engine on Mobile

NIST FRVT Top Ranked Face Recognition, iBeta 2 Certified Liveness Detection (3D Face Passive Anti-Spoofing) Engine!

This repository contains a C++ application that demonstrates face recognition, 3D face liveness detection (anti-spoofing) capabilities using computer vision techniques. The SDK utilizes OpenCV and dlib libraries for efficient face detection and recognition.

Check the likelihood that two faces belong to the same person. You will get a confidence score and thresholds to evaluate the similarity. Play with our MiniAiLive Face Recognition & 3D Face Passive Liveness Detection Engine!

Upgrade your iOS app with MiniAiLive's Face Liveness Detection! With our advanced computer vision techniques, you can now enhance security and accuracy on your iOS platform. Check out our latest repository containing a demonstration of 2D & 3D face liveness detection capabilities. Try it out today!