Page History

...

To configure the water level detection, do the following:

1. Select the created detection tool.

2. To record Water Level Detection water level detection readings to the archive, set Yes for the  the Record Mask mask to Archivearchive parameter (1).
   

3. 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).
4. 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 decoding.

5. Analyzed framed are scaled down to a specified resolution (4, 1280 1920 pixels on the longer side). This is how it works:

   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, it is used further.

   3. 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 limit specified value is set to 1000. In this case, the source resolution will be divided  halved two times (down to 512*384) : , as after the first division, the number of pixels on the longer side exceeds the limit (1024 > 1000).

      
      

      Info
      title Note
      If detection is performed on a higher resolution stream and detection errors occur, it is recommended to reduce the compression.

      
      

6. Select a processing resource to run the detection algorithm Choose a processor to run detection on (5). Non-neural detection may be If neural network is not used, the algorithm can run on the CPU only (see General Information on Configuring Detection). 

7. Use the neural network if the tool fails to detect water level due to transparency of water. Please follow the steps belowIf the water in the frame is transparent and the detector cannot correctly identify its level, use neural network. Do the following:

   1. Select Yes for the Neural Network parameter (6).

   2. Select the neural network file (7).

8. On the measurement scale (8, 9), set the upper top and lower bottom visible limits values in normal conditions.
9. Move the anchor points  in FoVthe preview window:7

   1. 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. 8).

      
      

      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 and Critical marks.   If the sensor is yellow, the water level is at High mark, but below Critical mark.   A red icon sensor means a that water level is above Critical mark.

      
      

   2. draw a line to set the upper top limit for water level upon reaching which the detection tool triggers an alarm;
   3. 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.
10. Click the Apply button.

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 icon means a 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).

...