Video stream and scene requirements for the Smoke Detection

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 Smoke Detection, do the following:

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

By default, the detection tool is enabled and set to detect smoke.

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

ParameterValueDescription
Object features
Record mask to archiveYesBy default, the sensitivity scale of the detection tool is recorded to the archive (see Displaying information from a detection tool (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 detection tool is enabled by default. To disable the detection tool, select the No value
No
NameSmoke DetectionEnter the detection tool 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 detection tool will process per second. The value must be in the range [0.016; 100]
TypeSmoke DetectionName of the detection tool 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

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

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 detection tool 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 smoke for the detection tool to trigger. The value must be in the range [5; 20]

Scanning modeYesThe parameter is enabled 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 detection tools). 


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

Specify the sensitivity of the detection tool empirically. The value must be in the range [1; 99]. The default value is 33. The preview window displays the sensitivity scale of the detection tool that relates to the sensitivity parameter. If the scale is green, smoke isn't detected. If the scale is yellow, smoke is detected, but not enough to generate an event. If the scale is red, smoke is detected and the detection tool will generate 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 detection tool will generate an event when the scale has at least four divisions full over the entire detection period. An event will stop when the scale has less than two divisions full over the detection period. The detection tool 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 detection tool 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 detection tool will analyze the entire frame. The part of the frame not included in the specified polygons will be blacked out.

    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.

  • 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 detection tool, click the Apply  button. To cancel the changes, click the Cancel  button.