• Getting started

  • Checking out the source code
  • Trying samples (C++, C#, Java and Python)
  • Getting help

• Online web demo at https://www.doubango.org/webapps/face-liveness/

• Full documentation for the SDK at https://www.doubango.org/SDKs/face-liveness/docs/

• Supported languages (API): C++, C#, Java and Python

• Open source Computer Vision Library: https://github.com/DoubangoTelecom/compv

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

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/

This version supports both Windows and Linux x86_64.

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

Go to the samples folder and choose your prefered language.

Please check our discussion group or twitter account