Android on_device 1:1 Face Recognition 、 Liveness detection and 1:N & M:N Face Search SDK 🧒 离线版设备端Android1:1人脸识别 动作活体、静默活体、近红外双目活体检测 以及1:N M:N 人脸搜索算法SDK 封装。全程可开飞行模式不用联网

开源配合型人脸活体检测 Open Source Face Anti-spoofing

Face Recognition, Face Liveness Detection, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Templates Extraction, Face Landmarks

Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified, 3D Face Anti Spoofing, Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Android

OpenKYC Community Project, Face Recognition & Face Liveness Detection (Face Anti Spoofing) & ID Document Recognition

face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"

Robust, Realtime, On-Device Face Liveness Detection (Face Anti Spoofing) Android

towards the solving spoofing problem

Face Liveness Detection (Face Anti Spoofing) Server SDK

Official implementation of the SPL paper "One-class Learning Towards Synthetic Voice Spoofing Detection"

Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing

Liveness detection SDK Linux - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats

Recognize 2000+ faces on your Raspberry Pi 4 with database auto-fill and anti-spoofing

Face recognition SDK iOS with 3D passive liveness detection (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)

This repository is a docker project for 3D passive face liveness detection (face anti-spoofing).

JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with Squeeze-Excitation and Residual neTworks (ASSERT).

A simple face anti-spoofing based on CNN trained with HSV + YCrCb color feature, implemented with tensorflow and keras.

3D passive face liveness detection, face anti-spoofing, face fraudulent check, face liveness check, face spoof detection, face fraud detection and face analysis on Android.

Official implementation of our ASVspoof 2021 paper, "UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021"

Deep Learning based Face Anti-Spoofing