To configure the water level detection, do the following:
Analyzed framed are scaled down to a specified resolution (3, 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.
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). |
Select the processor for the neural network - CPU, one of GPUs, or Intel NCS (4, see Hardware requirements for neural analytics operation).
It may take several minutes to launch the algorithm on an NVIDIA GPU after you apply the settings. |
If you specify other processing resource than the CPU, this device will carry the most of computing load. However, the detection tool will consume CPU as well. |
to set the measurement scale;
Upper and lower limits of the measurement scale must match the actual settings (see paragraph 4). |
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).