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Tip

Video stream and scene requirements for the Privacy masking

Image Camera requirements for the Privacy masking detection tool

Hardware requirements for neural analytics operation

To configure the Privacy masking detection tooldetector, do the following:

  1. Go to the Detectors tab.

  2. Below the required camera, click Create… → Category:

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  1. Trackers → Privacy masking.

By default, the detector is enabled and set to hide stationary objects.

If necessary, you can change the detector parameters. The list of parameters is given in the table:

ParameterValueDescription
Object features
Record mask to archiveYesBy default, the mask is recorded to the archive. To disable the parameter, select the No value
No
Video streamMain stream

If the camera supports multistreaming, select the stream for which detection is needed. Selecting a low-quality video stream reduces the load on the server.

Note
titleAttention!

To ensure the correct display of streams on a multi-stream camera, all video streams must have the same frame aspect ratio.

Other
EnableYesBy default, the detector is enabled. To disable, select the No value
No
NamePrivacy maskingEnter the detector name or leave the default name
Number of frames processed per second25Specify the number of frames for the detector to process per second. For sub-detectors to work correctly, the Privacy masking detector must analyze frames at least every 0.5 seconds. The value must be in the range [0.016, 100].
Decoder modeAuto

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Select a processing resource for decoding video streams

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. When you select a GPU, a stand-alone graphics card takes priority (when decoding with

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Nvidia NVDEC chips). If there is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources

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are used for decoding

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CPU
GPU
HuaweiNPU
TypePrivacy MaskingName of the detector type (non-editable field)
Basic settings
Detection threshold15Specify the Detection threshold for objects in percent. If the recognition probability falls below the specified value, the data is ignored

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. The higher the value, the higher the sensitivity to

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recognizing and masking objects.

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The value must be in the range [5, 100]
Neural network mode





CPU

Select a processing resource for neural network operation (see Hardware requirements for neural analytics operation,

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 Selecting Nvidia GPU when configuring detectors).

Note
titleAttention!
  • If you specify

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  • another processing resource than the CPU, this device

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  • carries most of the computing load. However, the CPU

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  • is also

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  • used to run the

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  • detector.
  • It may take several minutes to launch the algorithm on

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  • Nvidia GPU after you apply the settings. You can use caching to speed up future launches (see

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Nvidia GPU 0
Nvidia GPU 1
Nvidia GPU 2
Nvidia GPU 3
Intel NCS (not supported)
Intel HDDL (not supported)
Intel GPU
Intel Multi-GPU
Intel GPU 0
Intel GPU 1
Intel GPU 2
Intel GPU 3
Huawei NPU
Neural network filter
Neural networkYesBy default, the parameter is disabled. The detector works on the basis of an algorithm without

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a neural network, ignoring the value specified in the Neural network file

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parameter.

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If the detector cannot correctly detect an object in the frame, select the Yes value. In the Neural network file

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parameter, select a custom neural network

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that is a privacy

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mask neural network

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. A detector with a neural network algorithm based on this neural network

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is created
No
Neural network file

If you use a custom neural network, select the corresponding file.

Note
titleAttention!
  • To train your neural network, contact AxxonSoft (see Data collection requirements for neural network training).
  • If you don't specify the neural network file, the default file is used that is selected automatically depending on the selected processor for the neural network operation (Decoder mode). If you use a custom neural network, enter a path to the file.
  • If you use a standard neural network (training wasn't performed in operating conditions), we guarantee an overall accuracy of 80-95% and a percentage of false positives of 5-20%. The standard neural networks

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titleNote
  • are located in the C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK directory.

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  • You cannot specify the network file in Windows OS. You must place the neural network file locally, that is, on the same server where you install Axxon One.
  • For correct neural network operation on Linux OS, place the corresponding file locally in the

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  • /opt/AxxonSoft/DetectorPack/NeuroSDK directory or in the network folder with the corresponding access rights.
 

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By default, the

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entire frame is a detection area.If necessary, in the preview window, set:

Info
titleNote
  • For convenience of configuration, you can "freeze" the frame. Click the Image Added button. To cancel the action, click this button again.
  • The detection area is displayed by default. To hide it, click theImage Added button. To cancel the action, click this button again.

To save the parameters of the detector, click the Apply Image Added button. To cancel the changes, click the Cancel Image Added button.

Configuring the Privacy masking is complete. 

Image Added

Configuring the Privacy masking detection tool is complete. 

Image Removed

Note
titleAttention!

Correct We don't guarantee the correct operation of the detection tool isn't guaranteed before detector earlier than 10 minutes from the moment of its creation or making any changes in the detection tool detector settings.