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To configure the water Water level detection, do the following:
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To record Water Level Detection water level detection readings to the archive, set Yes for the the Record Mask mask to Archivearchive parameter (1).
- If the camera supports multistreaming, select the stream to be used for which detection is needed. Select a low-quality video stream to reduce the Server load (2).
- Select a processing resource for decoding video streams (3). When you select a GPU, a stand-alone graphics card takes priority (when decoding with NVidia NVIDIA NVDEC chips). If there 's is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources will be used for decodingIf neural network is not used, the algorithm can work only on CPU (see General Information on Configuring Detection).
Analyzed framed are scaled down to a specified resolution (4, 1280 1920 pixels on the longer side). This is how it works:
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, it is used further.
If the resulting resolution still exceeds the specified limit, it is divided by two, etc.
Info title Note For example, the source image resolution is 2048*1536, and the
limitspecified value is set to 1000.
In this case, the source resolution will be
dividedhalved two times (
down to512*384)
:, as after the first division, the number of pixels on the longer side exceeds the limit (1024 > 1000).
Choose a processor to run detection on (5). Non-neural detection may be run on the CPU only.
Info title Note If detection is performed on a higher resolution stream and detection errors occur, it is recommended to reduce the compression.
- Set the frame rate value for the detection tool to process per second (5). The value should be in the range [0,016; 100].
If the water in the frame is transparent and the detection tool cannot correctly identify its level, use Neural network (6):
If No is selected, the detection tool will work based on the algorithm without using the neural network, ignoring the value specified in the Neural network file field.
If Yes 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, the detection tool will create an engine using this network.
Note title Attention! If the neural network file is not specified correctly, the detection tool will not work. The engine will recreate itself every 20 seconds.
Select the neural network file (7). The following standard neural networks for different processor types are located in the C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK directory:
WaterLevelRuleNet_movidius.ann Water level detection / IntelNCS WaterLevelRuleNet_openvino.ann Water level detection / CPU WaterLevelRuleNet_origin_onnx.ann Water level detection / GPU Enter the path to a custom neural network file into this field.
Info title Note For correct neural network operation on Linux, place the corresponding file in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory.
Select the processor for the neural network − CPU, one of GPUs, or one of Intel processors (8) (see Hardware requirements for neural analytics operation, General Information on Configuring Detection).
Note title Attention! It may 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 Configuring the acceleration of GPU-based neuroanalytics).
Note title Attention! 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 detection tool
Use the neural network if the tool fails to detect water level due to transparency of water. Please follow the steps below:
Select Yes for the Neural Network parameter (6).
Select the neural network file (7)- On the measurement scale (89, 9 10), set the upper top and lower bottom visible limits values in normal conditions. The value should be in the range [0; 19].
- Move the anchor points
in FoV:7points 
in the preview window:Set
to set the measurement scale ;
in the frame.
Note title Attention! Upper Top and lower limits bottom values of the measurement scale must should match the actual settings (see paragraph 4i. 9).
Info title Note Water level sensor is shown In in the lower left corner. If the sensor is blue, the water level is below High high and Criticalcritical marks. If the sensor is yellow, the water level is High. at high mark, but below critical mark. A red icon sensor means a that water level is above Criticalcritical mark.
- draw Draw a line to set the upper top limit for water level upon reaching which the detection tool triggers an alarm.
- draw Draw a line to set the upper top limit for water level upon reaching which the detection tool highlights the sensor icon in the Camera Window video surveillance window with yellow color.
- Click the Apply button.
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Configuring Water level detection tool is complete.
When you have created a detection tool, you can see a sensor on the layout in the camera video surveillance window.
If the sensor icon is green 
, the water level is lower than both critical and warning high marks. If the icon is yellow 
, the water level is somewhere between critical and warningabove the high mark, but below the critical mark. A red icon 
means a level above critical.icon 
means that the water level is above the critical mark.
You can also display add a numerical value of current the water levels for the detector level to the video surveillance window (see Configuring display of water level detection).
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