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 uses the Intel Quick Sync Video technology. Otherwise, CPU resources are 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] Attention! The Number of frames processed per second parameter determines the rate of transmitting the frames from the decoder to the detector and affects the water level update rate—the update occurs once per every 23 processed frames. As a result, at low parameter values, there can be a delay between the actual change of the water level value on the image and the generation of the corresponding event.
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 is 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 is 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 automatically selects the required one. If you use a custom neural network, enter a path to the file. Attention! You must place the neural network file locally, that is, on the same server where you install Axxon One. You cannot specify the network file in Windows OS. If you use a 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% (see Data collection requirements for neural network training). For correct neural network operation on Linux OS, place the corresponding file in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory.
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 you select the No value, the detector works on the basis of the algorithm without using the neural network on the CPU, ignoring the value specified in the Neural network file field. If you select the Yes value: If you don't select the value in the Neural network file field, the system automatically selects the required standard neural network for the device specified in the Neural network mode field. If you select a custom neural network 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 is created. Attention! If you specify the neural network file incorrectly, the detector doesn't work. The neural network algorithm recreates itself every 60 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 carries the most of computing load. However, the CPU is also used to run the detector. 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 GPU
	Intel NCS (not supported)
	Intel Multi-GPU
	Intel GPU 0
	Intel GPU 1
	Intel GPU 2
	Intel GPU 3
	Intel HDDL (not supported)
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, by moving the anchor points :

Set the measuring scale in the frame.
Specify an upper line, exceeding which the detector generates an event.
Specify the lower line, exceeding which the detector gives a warning, using the orange color of the sensor in the Surveillance window.

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.
The top and bottom borders mustn't be parallel to the lines of the measuring scale that determines its height. Otherwise, the detector doesn't work properly.

Note

For convenience of configuration, you can "freeze" the frame. Click the button. To cancel the action, click this button again.
To hide the detection area, click the button. To cancel the action, click this button again.
The water level indicator appears 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 exceeds the high mark but is below the critical mark. If the indicator is red, it means that the water level is above the critical mark.

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

Configuring the Water level detector is complete.

After you create the detector, you can see a sensor on the layout in the Surveillance window along with the indicator.

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.

If necessary, you can 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.