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Documentation for Axxon One 2.0. Documentation for other versions of Axxon One is available too.
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To configure the Privacy masking, do the following:
- Go to the Detection Tools tab.
Below the required camera, click Create… → Category: Trackers → Privacy masking.
By default, the detection tool is enabled and set to hide stationary objects.
If necessary, you can change the detection tool parameters. The list of parameters is given in the table:
| Parameter | Value | Description |
|---|---|---|
| Object features | ||
| Record mask to archive | Yes | By default, mask is recorded to the archive. To disable the parameter, select the No value |
| 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 detection tool is enabled. To disable, select the No value |
| No | ||
| Name | Privacy masking | Enter the detection tool name or leave the default name |
| 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 will be used for decoding |
| CPU | ||
| GPU | ||
| HuaweiNPU | ||
| Type | Privacy Masking | Name of the detection tool 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 will be 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 detection tools). Attention!
|
| Nvidia GPU 0 | ||
| Nvidia GPU 1 | ||
| Nvidia GPU 2 | ||
| Nvidia GPU 3 | ||
| Intel NCS (not supported) | ||
| Intel HDDL (not supported) | ||
| Intel GPU | ||
| Huawei NPU | ||
| Neural network filter | ||
| Neural network | Yes | By default, the parameter is disabled. The detection tool works on the basis of an algorithm without neural network, ignoring the value specified in the Neural network file parameter. If the detection tool 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 detection tool with a neural network algorithm based on this neural network will be created |
| No | ||
| Neural network file | If you use a custom neural network, select the corresponding file. Attention!
| |
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 detection tool, click the Apply 
button. To cancel the changes, click the Cancel 
button.
Configuration of the Privacy masking is complete.
Attention!
Correct operation of the detection tool isn't guaranteed before 10 minutes from the moment of its creation or making any changes in the detection tool settings.
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