Real-time Face Liveness Detection

To spot fake faces and prevent photo attacks, use the integrated 2D anti-spoofing system that distinguishes a live face from a face image. Due to the analysis of not one, but a number of frames, the algorithm captures any changes in a facial expression and skin texture. This ensures that it is a live person in front of a camera and eliminates the possibility of fraud using images on paper or mobile device screens.

The liveness detector estimates a face liveness with a certain level of confidence and returns the confidence score along with a binary result real/fake, depending on the pre-defined liveness threshold.

To enable the face liveness detector, do the following:

1. Open the findface-video-worker configuration file. In the liveness –> fnk parameter, specify the path to the face liveness detector model as shown below.

   sudo vi /etc/findface-video-worker-cpu.ini
   
   [liveness]
   #------------------------------
   ## path to liveness fnk
   fnk = /usr/share/findface-data/models/faceattr/liveness.v3.cpu.fnk
   
   
   sudo vi /etc/findface-video-worker-gpu.ini
   
   [liveness]
   #------------------------------
   ## path to liveness fnk
   fnk = /usr/share/findface-data/models/faceattr/liveness.v3.gpu.fnk
   

2. Restart findface-video-worker.

   sudo systemctl restart findface-video-worker-cpu
   sudo systemctl restart findface-video-worker-gpu
   

Once the face liveness detector enabled, the findface-video-worker service will be posting face liveness data to findface-facerouter in the liveness key of the detectorParams dictionary. To process a face due to its liveness, write a plugin.