Documentation for Axxon One 1.0.

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Camera requirements for privacy masking

Hardware requirements for neural analytics operation

To configure Person-based privacy masking, do the following:

  1. To record mask to the archive (see Extra information overlay (Masks)), set Yes for the corresponding 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 is 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 per second (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, General Information on Configuring Detection).

    Attention!

    If you specify other processing resource than the CPU, this device will carry the most of computing load. However, the CPU will also be used to run the detection tool.

    Attention!

    It may take several minutes to launch the algorithm on 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). The following standard neural networks for different processor types are located in the C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK directory:

    poseEstimator_openvino.annPerson-based privacy masking / CPU
    poseEstimator_original.annPerson-based privacy masking / GPU 

    poseEstimator_movidius.ann

    		Person-based privacy masking / IntelNCS 

    Enter full path to a custom neural network file into this field. This is not required if you use standard neural networks which are selected automatically.

    Note

    For correct neural network operation on Linux, place the corresponding file in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory.

  7. Set the minimum number of frames in which the detection tool should detect objects in order to trigger (7). The value should be in the range [1; 20].
  8. Select Yes for all body parts that should be masked within FOV.
  9. Click the Apply button.

Privacy mask configuration is now complete.

Selected body parts of all individuals within FOV will be hidden from view. For a user group with limited rights to view masked video (see Creating and configuring roles), the mask is displayed on the video image of the selected camera in the Detection Tools and Hardware sections, on the layouts, in the archive and when exporting. For the admin user group, the mask is displayed only on the video image of the selected camera in the Detection Tools and Hardware sections, and when exporting, if the View masked video checkbox is clear (see Standard video recordings export).

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