To configure privacy masking, do the following:

1. To record Mask to archive (see Extra information overlay (Masks)), select Yes for the Record mask to archive parameter (1).
   
2. If the camera supports multistreaming, select the stream for which detection is needed (2). 
3. Select a processing resource for decoding video streams (3). When you select a GPU, a stand-alone graphics card takes priority (when decoding with Nvidia NVDEC chips). If there's no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources will be used for decoding.

4. Set the frame rate value for the detection tool to process (4). This value should be in the range [0.016, 100]. 

5. Select the processor for the neural network — CPU, one of Nvidia GPUs or one of Intel GPUs (5, see Hardware requirements for neural analytics operation).

   If you specify other processing resource than the CPU, this device will carry the most of computing load. However, the detection tool will consume CPU as well.

   
   

   It may take several minutes to launch the algorithm on an Nvidia GPU after you apply the settings. You can use caching to speed up future launches (see Configuring the acceleration of GPU-based neuroanalytics).

   
   

6. Select the segmenting neural network file (6).

   To access the neural network, contact technical support https://support.axxonsoft.com/.

   
   

7. Set the interval between the analyzed frames - Number of frames for analysis - in milliseconds (7). The value should be within the range of 30 – 10,000.
8. Select Yes for all body parts that should be masked within FoV.
9. Click Apply.

Privacy mask configuration is now complete. Selected body parts of all individuals within FoV will be hidden from view.