All Projects → DoubangoTelecom → FaceLivenessDetection-SDK

DoubangoTelecom / FaceLivenessDetection-SDK

Licence: other
3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

Programming Languages

C++
36643 projects - #6 most used programming language
java
68154 projects - #9 most used programming language
C#
18002 projects
python
139335 projects - #7 most used programming language
perl
6916 projects
SWIG
194 projects

Projects that are alternatives of or similar to FaceLivenessDetection-SDK

bob
Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob
Stars: ✭ 38 (-55.29%)
Mutual labels:  biometrics, face-recognition, face-detection, spoofing
deep utils
An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!
Stars: ✭ 73 (-14.12%)
Mutual labels:  face-recognition, face-detection
ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Stars: ✭ 1,102 (+1196.47%)
Mutual labels:  face-recognition, face-detection
timeline
Timeline - A photo organizer
Stars: ✭ 39 (-54.12%)
Mutual labels:  face-recognition, face-detection
Face-Liveness-Detection-SDK-iOS
Robust, Realtime, On-Device Face Liveness Detection (Face Anti Spoofing) For iOS
Stars: ✭ 48 (-43.53%)
Mutual labels:  face-recognition, liveness-detection
FaceIDLight
A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
Stars: ✭ 17 (-80%)
Mutual labels:  face-recognition, face-detection
FaceRecog
Realtime Facial recognition system using Siamese neural network
Stars: ✭ 47 (-44.71%)
Mutual labels:  face-recognition, face-detection
Face-Recognition-Raspberry-Pi-64-bits
Recognize 2000+ faces on your Raspberry Pi 4 with database auto-fill and anti-spoofing
Stars: ✭ 48 (-43.53%)
Mutual labels:  face-recognition, face-detection
ViewFaceCore
C# 超简单的离线人脸识别库。( 基于 SeetaFace6 )
Stars: ✭ 345 (+305.88%)
Mutual labels:  face-recognition, face-detection
Face Recognition
<NOT ACTIVELY MAINTAINED>A light weight face recognition implementation using a pre-trained facenet model
Stars: ✭ 106 (+24.71%)
Mutual labels:  face-recognition, face-detection
facenet
Face recognition using Tensorflow
Stars: ✭ 17 (-80%)
Mutual labels:  face-recognition, face-detection
Face-Recognition-Attendance-System
Face Detection | Recognition | Attendance
Stars: ✭ 289 (+240%)
Mutual labels:  face-recognition, face-detection
SensorsAndAi
SensorAndAi is an android application which will give you the complete information about all the sensors and some basic information about artificial intelligence.This application will tell you about the use and implementation of the sensor and artificial intelligence.This app will show you how sensor and artificial intelligence is used in any an…
Stars: ✭ 29 (-65.88%)
Mutual labels:  face-recognition, face-detection
GenderRecognizer
Plain Face Detector & Gender Recognizer
Stars: ✭ 57 (-32.94%)
Mutual labels:  face-recognition, face-detection
Detect-Facial-Features
Code example demonstrating how to detect eyes, nose, lips, and jaw with dlib, OpenCV, and Python
Stars: ✭ 42 (-50.59%)
Mutual labels:  face-recognition, face-detection
facematch
Facematch is a tool to verifies if two photos contain the same person.
Stars: ✭ 62 (-27.06%)
Mutual labels:  face-recognition, liveness
Face-Recognition
A Java application for Face Recognition under expressions, occlusions and pose variations.
Stars: ✭ 55 (-35.29%)
Mutual labels:  face-recognition, face-detection
DeepFaceRecognition
Face Recognition with Transfer Learning
Stars: ✭ 16 (-81.18%)
Mutual labels:  face-recognition, face-detection
FaceRecognitionCpp
Large input size REAL-TIME Face Detector on Cpp. It can also support face verification using MobileFaceNet+Arcface with real-time inference. 480P Over 30FPS on CPU
Stars: ✭ 40 (-52.94%)
Mutual labels:  face-recognition, face-detection
Face-Recognition-Jetson-Nano
Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing
Stars: ✭ 63 (-25.88%)
Mutual labels:  face-recognition, face-detection

To our knowledge we're the only company in the world that can perform 3D liveness check and identity concealment detection from a single 2D image. We outperform the competition (FaceTEC, BioID, Onfido, Huawei...) in speed and accuracy. Our implementation is Passive/Frictionless and only takes few milliseconds.

Identity concealment detects when a user tries to partially hide his/her face (e.g. 3D realistic mask, dark glasses...) or alter the facial features (e.g. heavy makeup, fake nose, fake beard...) to impersonate another user.

A facial recognition system without liveness detector is just useless.

We can detect and block all known spoofing attacks: Paper Print, Screen, Video Replay, 3D (silicone, paper, tissue...) realistic face mask, 2D paper mask, Concealment...

3D Liveness detection Deepfake detection
Doubango AI: 3D Face liveness detector stress test Doubango AI: Deepfake detection

Our passive (frictionless) face liveness detector uses SOTA (State Of The Art) deep learning techniques and can be freely tested with your own images at https://www.doubango.org/webapps/face-liveness/


Getting started

This version supports both Windows and Linux x86_64.

Checking out the source code

The deep learning models are hosted on private repository for obvious reasons. You have to send us a mail with your company name and Github user name (to be added to the private repo). The mail must come from @YourCompanyName, mails from other domains (e.g. @Gmail) will be ignored. The terms of use do not allow you to decompile or reverse engineer the models.

git clone --recurse-submodules -j8 https://github.com/DoubangoTelecom/FaceLivenessDetection-SDK

If you already have the code and want to update to the latest version: git pull --recurse-submodules

Trying samples (C++, C#, Java and Python)

Go to the samples folder and choose your prefered language.

Technical questions

Please check our discussion group or twitter account

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].