Configuring the Water level detector

To configure the Water level detector, do the following:

Go to the Detectors tab.
Below the required camera, click Create… → Category: Production Safety → Water level detector.

By default, the detector is enabled and set to detect the water level in the frame.

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, recording of the water level indicator to the archive is enabled. To disable it, 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
Other
Enable	Yes	The detector is enabled by default. To disable the detector, select the No value
Enable	No
Name	Water level detector	Enter the detector 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 detector processes per second. The value must be in the range [0.016, 100]
Type	Water level detector	Name of the detector 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: If the longer side of the source image exceeds the value specified in the Frame size change field, it is divided by two. If the resulting resolution falls below the specified value, the algorithm stops and this resolution will be used further. If the resulting resolution still exceeds the specified value, it is divided by two until it is less than the specified resolution. Note For example, the source image resolution is 20481536, and the specified value is set to 1000. In this case, the source resolution will be halved two times (512384), as after the first division, the number of pixels on the longer side exceeds the specified value (1024 > 1000). If detection is performed on a higher resolution stream and detection errors occur, we recommend reducing the compression.
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. Note For correct neural network operation on Linux OS, place the corresponding file in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory. Attention! If you use standard neural network (training wasn't performed in operating conditions), we guarantee the overall accuracy of 80-95% and the percentage of false positives of 5-20%.
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 detector cannot correctly identify its level, use Neural network: If the No value is selected, the detector will work based on the algorithm without using the neural network on the CPU, ignoring the value specified in the Neural network file field. If the Yes value is selected: If no value is selected in the Neural network file field, the system will automatically select the required standard neural network for the device specified in the Neural network mode field. If a custom neural network is selected in the Neural network file field that corresponds to the device specified in the Neural network mode field and is a water level neural network, a detector with a neural network algorithm based on this neural network will be created. Attention! If the neural network file is not specified correctly, the detector will not work. The neural network algorithm will recreate itself every 20 seconds.
Neural network	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 detectors). Attention! It can 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). 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 detector.
	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 the measuring scale in the frame by moving the anchor points .

Attention!
When 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.
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 an upper line, exceeding which the detector will generate an event.
Specify a lower line, exceeding which the detector will give a warning in the form of orange color of the sensor in the Surveillance window.

Note

For convenience of configuration, you can "freeze" the frame. Click the button. To cancel the action, click this button again.
To hide detection area, 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.

Configuration of the Water level detector is complete.

When you have created the detector, you can see a sensor on the layout in the Surveillance window.

If the sensor icon is green , the water level is lower than both critical and high marks. If the icon is orange , the water level is above the high mark, but below the critical mark. A red icon means that the water level is above the critical mark.

You can also add a numerical value of the water level to the Surveillance window (see Configuring display of water level sensor).

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