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Video stream requirements for the Water Level Detectionlevel detector

Image requirements for the Water Level Detectionlevel detector

Hardware requirements for neural analytics operation

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ParameterValueDescription
Object features
Record mask to archiveYesBy default, recording of the water level indicator to the archive is enabled. To disable it, select the No value
No
Video streamMain streamIf 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
EnableYesThe detection tool is enabled by default. To disable the detection tool, select the No value
No
NameWater Level DetectionEnter the detection tool name or leave the default name
Decoder modeAutoSelect 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 second10Specify the number of frames that the detection tool will process per second. The value must be in the range [0.016, 100]
TypeWater Level DetectionName of the detection tool type (non-editable field)
Advanced settings
Frame size change1920

The analyzed frames are scaled down to a specified resolution (1920 pixels on the longer side) by default. The following algorithm is used:

  1. If the longer side of the source image exceeds the value specified in the Frame size change field, it is divided by two.
  2. If the resulting resolution falls below the specified value, the algorithm stops and this resolution will be used further.
  3. If the resulting resolution still exceeds the specified value, it is divided by two until it is less than the specified resolution.
Info
titleNote

For example, the source image resolution is 2048*1536, and the specified value is set to 1000. In this case, the source resolution will be halved two times (512*384), 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.

Info
titleNote

For correct neural network operation on Linux OS, place the corresponding file in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory. 

Note
titleAttention!

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 value20

Specify the maximum top value of the measuring scale. The value must be in the range [-1000, 1000]

Minimum bottom value0

Specify the minimum bottom value of the measuring scale. The value must be in the range [-1000, 1000]

Neural networkYes

 If the water in the frame is transparent and the detection tool cannot correctly identify its level, use Neural network:

  1. If the No value is selected, the detection tool will work based on the algorithm without using the neural network on the CPU, ignoring the value specified in the Neural network file field.

  2. If the Yes value is selected:

    1. 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.

    2. 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 detection tool with a neural network algorithm based on this neural network will be created.

Note
titleAttention!

If the neural network file is not specified correctly, the detection tool will not work. The neural network algorithm will recreate itself every 20 seconds.

No
Neural network modeCPU

Select a processor for the neural network operation (see Hardware requirements for neural analytics operation, Selecting Nvidia GPU when configuring detection toolsdetectors).

Note
titleAttention!
Nvidia GPU 0
Nvidia GPU 1
Nvidia GPU 2
Nvidia GPU 3
Intel GPU
Scale division value1

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 value0Specify the visible bottom value under normal conditions on the measuring scale. The value must be in the range [-1000, 1000]
Visible top value1Specify the visible top value under normal conditions on the measuring scale. The value must be in the range [-1000, 1000]

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Info
titleNote
  • 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 delete the selected area, click the Image Removed button.

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

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