Configuring the Privacy masking

To configure the Privacy masking detector, do the following:

Go to the Detectors tab.
Below the required camera, click Create… → Category: 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:

Parameter	Value	Description
Object features
Record mask to archive	Yes	By default, the mask is recorded to the archive. To disable the parameter, select the No value
Record mask to archive	No
Video stream	Main 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. Attention! To ensure the correct display of streams on a multi-stream camera, all video streams must have the same frame aspect ratio.
Other
Enable	Yes	By default, the detector is enabled. To disable, select the No value
Enable	No
Name	Privacy masking	Enter the detector name or leave the default name
Number of frames processed per second	25	Specify 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 mode	Auto	Select a processing resource for decoding video streams. 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 are used for decoding
	CPU
	GPU
	HuaweiNPU
Type	Privacy Masking	Name of the detector type (non-editable field)
Basic settings
Detection threshold	15	Specify the Detection threshold for objects in percent. If the recognition probability falls below the specified value, the data is ignored. The higher the value, the higher the sensitivity to recognizing and masking objects. 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, Selecting Nvidia GPU when configuring detectors). Attention! If you specify another processing resource than the CPU, this device carries most of the computing load. However, the CPU is also used to run the detector. 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 Optimizing the operation of neural analytics on GPU in Windows OS, Optimizing the operation of neural analytics on GPU in Linux OS). Starting with Detector Pack 3.11, Intel HDDL and Intel NCS aren’t supported. Starting with Detector Pack 3.14, Intel Multi-GPU and Intel GPU 0-3 are supported.
	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 network	Yes	By default, the parameter is disabled. The detector works on the basis of an algorithm without a neural network, ignoring the value specified in the Neural network file parameter. If the detector cannot correctly detect an object in the frame, select the Yes value. In the Neural network file parameter, select a custom neural network that is a privacy mask neural network. A detector with a neural network algorithm based on this neural network is created
Neural network	No
Neural network file		If you use a custom neural network, select the corresponding file. Attention! 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 are located in the C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK directory. 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 /opt/AxxonSoft/DetectorPack/NeuroSDK directory or in the network folder with the corresponding access rights.

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

one or more detection areas (see Configuring a detection area),
one or more skip areas (see Configuring a skip area).

Note

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

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

Configuring the Privacy masking is complete.

Attention!

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

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Documentation for Axxon One 2.0. Documentation for other versions of Axxon One is available too.