To configure the Water
...
level detector, do the following:
- Go to the
...
- Detectors tab.
- Below the required camera,
...
- click Create… → Category: Production Safety → Water
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- level detector.
By default, the
...
detector is enabled and set to detect the water level in the frame.
If necessary, you can change the
...
detector parameters. The list of parameters is given in the table:
| Parameter | Value | Description |
|---|
| Object features |
| Record mask to archive | Yes | By default, recording of the water level indicator to the archive is enabled. To disable it, select the No value |
| No |
| Video stream | Main stream | If 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 |
| Enable | Yes | The |
detection tool | detector is enabled by default. To disable the |
detection tool the value Level Detection detection tool | detector name or leave the default name |
| Decoder mode | Auto | Select 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 second | 10 | Specify the number of frames that the |
detection tool will process | detector processes per second. The value must be in the |
range ; Level Detection| level detector | Name of the |
detection tool | detector type (non-editable field) |
| Advanced settings |
| Frame size change | 1920 | The analyzed frames are scaled down to a specified resolution (1920 pixels on the longer side) by default. The following algorithm is used: - 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, the algorithm stops and this resolution will be used further.
- If the resulting resolution still exceeds the specified value, it is divided by two until it is less than the specified resolution.
| Info |
|---|
| For example, the source image resolution is 2048*1536, and the specified value is set to 1000. |
|
In 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 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 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 |
|---|
| For correct neural network operation on Linux OS, place the corresponding file in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory. |
| Note |
|---|
| 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 value | 20 | Specify the maximum top value of the measuring scale. The value must be in the range [-1000, 1000] |
| Minimum bottom value | 0 | Specify the minimum bottom value of the measuring scale. The value must be in the range [-1000, 1000] |
| Neural network | Yes |
If If the water in the frame is transparent and the |
detection tool detector cannot correctly identify its level, |
use use Neural network: - If the No value is selected, the
|
detection tool - detector will work based on the algorithm without using the neural network on the CPU, ignoring the value specified in the Neural network file field.
If the Yes value 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, a
|
detection tool detector with a neural network algorithm based on this neural network will be created.
| Note |
|---|
| If the neural network file is not specified correctly, the |
|
detection tool detector will not work. The neural network algorithm will recreate itself every 20 seconds. |
|
| No |
| Neural network mode | CPU | |
the a processor for the neural |
network—CPU, one of NVIDIA GPUs or one of Intel GPUs (see detection tools may - can take several minutes to launch the algorithm
|
|
on NVIDIA GPU - on NVIDIA GPU after you apply the settings. You can use caching to speed up future launches (
|
|
see Windows - Linux OS).
- If you specify other processing resource than the CPU, this device will carry the most of computing load.
|
|
However- However, the CPU will also be used to run the
|
|
detection tool |
| Nvidia GPU 0 |
| Nvidia GPU 1 |
| Nvidia GPU 2 |
| Nvidia GPU 3 |
| Intel GPU |
| Scale division value | 1 | 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]
 Image Added
|
| Visible bottom value | 0 | Specify the visible bottom value under normal conditions on the measuring scale. The value must be in the range [ |
0 19| 1000] |
| Visible top value | 1 | Specify the visible top value under normal conditions on the measuring scale. The value must be in the range [ |
0 19]...
In the preview window, by moving the anchor points 
Image Removed:
- Set the measuring scale in the frame by moving the anchor points Image Added.
Image Modified
specifying you specify the measuring scale, its top and bottom borders must match the values specified in the Visible bottom value and Visible top value parameters. |
| Info |
|---|
|
The water level indicator is displayed in the lower left corner. If the indicator is green, the water level is below high and critical marks. If the indicator is orange, the water level is at high mark, but below critical mark. A red indicator means that water level is above critical mark. |
- Specify
a - an upper line
as a limit- , exceeding which the
detection tool will trigger- detector will generate an event.
- Specify a lower line
as a limit- , exceeding which the
detection tool - detector will give a warning in the form of orange color of the sensor in the Surveillance window
.Click the Apply button- .
| Info |
|---|
|
- For convenience of configuration, you can "freeze" the frame. Click the
 Image Modified button. To cancel the action, click this button again. - To hide detection area, click the
 Image Modified button. To cancel the action, click this button again.
|
To
...
save the parameters of the detector, click the Apply 
Image Added button. To cancel the changes, click the Cancel 
Image Added button.
Configuring Configuration of the Water Level Detection is level detector is complete.
When you have created the detection tooldetector, you can see a sensor on the layout in the Surveillance window.
If the sensor icon is green 
Image Modified, the water level is lower than both critical and high marks. If the icon is orange 
Image Modified, the water level is above the high mark, but below the critical mark. A red icon 
Image Modified means that the water level is above the critical mark.
You can also add a numerical value of the water level to the Surveillance window (see see Configuring display of water level detectionsensor).
