To configure the Water level detection, do the following:
To record Water level detection readings to archive, set Yes for the Record mask to archive parameter (1).
Analyzed framed are scaled down to a specified resolution (4, 1280 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.
Note
For example, the source image resolution is 2048 * 1536, and the limit is set to 1000.
In this case, the source resolution will be divided two times (down to 512 * 384): 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.
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).
To set the measurement scale.
Attention!
Lower and upper limits of the measurement scale must match the actual settings (see paragraph 4).
Note
Water level sensor is shown in the lower left corner. If the sensor is blue, the water level is below High and Critical. If the sensor is yellow, the water level is High. A red icon means a level above Critical.
When you have created a detection tool, you can see a sensor on the layout in the camera window.
If the sensor icon is green
, the water level is lower than both critical and warning marks. If the icon is yellow , the level is somewhere between critical and warning. A red icon means a level above critical.You can also display numerical value of current water levels for the detector (see Configuring display of water level detection).