Documentation for Axxon One 2.0. Documentation for other versions of Axxon One is available too.

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Video stream and scene requirements for the Fire detector

Hardware requirements for neural analytics operation

Optimizing the operation of neural analytics on GPU in Windows OS

Optimizing the operation of neural analytics on GPU in Linux OS

To configure the Fire detector, do the following:

  1. Go to the Detection Tools tab.
  2. Below the required camera, click Create… → Category: Production Safety → Fire detector.

By default, the detector is enabled and set to detect fire.

If necessary, you can change the detector parameters. The list of parameters is given in the table:

ParameterValueDescription
Object features
Record mask to archiveYesBy default, the sensitivity scale of the detector is recorded to the archive (see Displaying information from a detector (mask)). To disable the parameter, select the No value
No
Video streamMain streamIf 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
EnableYesThe detector is enabled by default. To disable the detector, select the No value
No
NameFire detector
Enter the detector name or leave the default name
Decoder modeAutoSelect 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 second0.1Specify the number of frames that the detector will process per second. The value must be in the range [0.016; 100]
TypeFire detector
Name of the detector type (non-editable field)
Advanced settings
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 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.

Note

For the correct neural network operation on Linux OS, place the corresponding file in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory. 

Attention!

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%.

Ignore black and white imageYesThe parameter is disabled by default. If you don't want the detector to generate an event when the image is black and white, select the Yes value
No
Number of measurements in a row to trigger detection5

Specify the minimum number of frames with fire for the detector to generate an event. The value must be in the range [5; 20]

Scanning modeYesThe parameter is disabled by default. You can use the scanning mode (see Configuring the scanning mode) to detect small objects or objects in areas far away from the camera. For this, select the Yes value. This mode doesn’t provide absolute detection accuracy, but can improve detection performance
No
Basic settings
ModeCPU

Select a processor for the neural network operation (see Hardware requirements for neural analytics operation, Selecting Nvidia GPU when configuring detectors). 

Attention!


Nvidia GPU 0
Nvidia GPU 1
Nvidia GPU 2
Nvidia GPU 3
Intel GPU
Huawei NPU
Sensitivity 33

Specify the sensitivity of the detector empirically. The value must be in the range [1; 99]. The default value is 33. The preview window displays the sensitivity scale of the detector that relates to the sensitivity parameter. If the scale is green, fire isn't detected. If the scale is yellow, fire is detected, but not enough to generate an event. If the scale is red, fire is detected, and the detector generates an event, if the scale is red through the sampling period (50 seconds by default).


Example. The sensitivity parameter value of 40 means that the detector will generate an event when the scale has at least four divisions full over the entire detection period. An event will end when the scale has less than two divisions full over the detection period. The detector will generate an event again if the scale has at least four divisions full over the entire detection period

By default, the entire frame is the detection area. In the preview window, you can specify the detection areas using the anchor points (see Configuring a detection area):

  1. Right-click in the preview window.
  2. If you want to specify the detection area by one or more rectangles, select Detection area (rectangle). If you specify a rectangular area, the detector will analyze only this area. The rest of the frame will be ignored.
  3. If you want to specify the detection area by one or more polygons, select Detection area (polygon). If you specify one or several polygonal areas, the detector will analyze the entire frame. The part of the frame not included in the specified polygons will be blacked out.

    Attention!

    You must select the detection area (polygon or rectangle) experimentally. For some neural networks the quality of detection will be better with rectangle, for others—with polygon.

Note

  • For convenience of configuration, you can "freeze" the frame. Click the  button. To cancel the action, click this button again.
  • To hide detection area, click the  button. To cancel the action, click this button again.
  • To delete the selected area, click the  button.

To save the parameters of the detector, click the Apply  button. To cancel the changes, click the Cancel  button.

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