Welcome to the OpenCV Face Recognition repository. OpenCV Face Recognition product offers world-class face recogition ranked top 10 in NIST FRVT, powered by Seventh Sense.

Face Recognition Using Different Model

Built an AI model that determines whether the face of the person sitting in front of the webcam is Real or Fake by using Transfer Learning and TSBTC (Thepade’s Sorted Bock Truncation Encoding).

Проверка фото на живость/face detection liveness

Face Liveness Detection using Deep Learning

PresentID Face Liveness Detection API

A plugin for liveness face recognition and capture. support Android and iOS

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 Top Ranked Face Recognition & 3D Face Passive Liveness (Anti-Spoofing) Engine!

Face liveness with ONNX runtime

Analyze a series of face related attributes including age, gender, smile intensity, head pose, eye status, emotion, beauty, eye gaze, mouth status, skin status, face image quality and blurriness.

This is an official pytorch implementation of 'Effective Presentation Attack Detection Driven by Face Related Task'

Face Recognition Xamarin, Android and iOS

Classic BWS: BWS iOS sample code for app integration

This is the world first repository which describes full solutions for Physical Access Control System containing from hardware design, Face Recognition & Face Liveness Detection (3D Face Passive Anti-spoofing) model to deployment for device. Can be applied to face recognition based smart-lock or similar solution easily.

Classic BWS: BWS Android sample code for app integration

Classic BWS: BWS HTML5 Unified User Interface

This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.

This is the Face Liveness Detection Python project for Windows.

The project for 3D passive face liveness detection, face anti-spoofing, face fraudulent check, face liveness check and face fraud detection on iOS

This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.