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If necessary, you can change the detection tool parameters. The list of parameters is given in the table:
Parameter | Value | Description |
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Object features | ||
Record mask to archive | Yes | By default, recording of the water level indicator to the archive is enabled. To disable it, 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 |
Other | ||
Enable | Yes | The detection tool is enabled by default. To disable the detection tool, select the No value |
No | ||
Name | Water Level Detection | 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 | ||
Number of frames processed per second | 10 | Specify the number of frames that the detection tool will process per second. The value must be in the range [0.016 |
, 100] | ||||||||||||
Type | Water Level Detection | Name of the detection tool type (non-editable field) | ||||||||||
Advanced settings | ||||||||||||
Frame size change | 1920 | The analyzed frames are scaled down to a specified resolution (1920 pixels on the longer side) by default. The following algorithm is used:
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Neural network file | Select a neural network file. The standard neural networks for different processor types are located in the C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK directory. You don't need to select the standard neural networks in this field, the system will automatically select the required one. If you use a custom neural network, enter a path to the file.
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Basic settings | ||||||||||||
Maximum top value | 20 | Specify the maximum top value of the measuring scale. The value must be in the range [-1000, 1000] | ||||||||||
Minimum bottom value | 0 | Specify the minimum bottom value of the measuring scale. The value must be in the range [-1000, 1000] | ||||||||||
Neural network | Yes | If the water in the frame is transparent and the detection tool cannot correctly identify its level, use Neural network:
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No | ||||||||||||
Neural network mode | CPU | Select a processor for the neural network operation (see Hardware requirements for neural analytics operation, Selecting Nvidia GPU when configuring detection tools).
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Nvidia GPU 0 | ||||||||||||
Nvidia GPU 1 | ||||||||||||
Nvidia GPU 2 | ||||||||||||
Nvidia GPU 3 | ||||||||||||
Intel GPU | ||||||||||||
Scale division value | 1 | Specify the scale division value — the difference between the nearest divisions on the scale with numerical markings. The value must be in the range [0.001, 1000] | ||||||||||
Visible bottom value | 0 | Specify the visible bottom value under normal conditions on the measuring scale. The value must be in the range [ |
-1000, |
1000] | ||
Visible top value | 1 | Specify the visible top value under normal conditions on the measuring scale. The value must be in the range [ |
-1000, |
1000] |
In the preview window, set :
- Set the measuring scale in the frame by moving the anchor points
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- .
Note title Attention! When
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you specify the measuring scale, its top and bottom borders must match the values specified in the Visible bottom value and Visible top value parameters.
Info title Note The water level indicator is displayed in the lower left corner. If the indicator is green, the water level is below high and critical marks. If the indicator is orange, the water level is at high mark, but below critical mark. A red indicator means that water level is above critical mark.
- Specify a
- an upper line as a limit
- , exceeding which the detection tool will generate an alarm.
- Specify a lower line as a limit
- , exceeding which the detection tool will give a warning in the form of orange color of the sensor in the Surveillance window.
Info | ||
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