To configure the Fire Detectiondetector, do the following:
- Go to the Detection Tools tab.
- Below the required camera, click Create… → Category: Production Safety → Fire Detection detector.
By default, the
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detector is enabled and set to detect fire.
If necessary, you can change the
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detector parameters. The list of parameters is given in the table:
| Parameter | Value | Description |
|---|
| Object features |
| Record mask to archive | Yes | By default, the sensitivity scale of the |
detection tool | detector is recorded to the archive ( |
see detection tool | detector (mask)). To disable the parameter, 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 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 | 0.1 | Specify the number of frames that the |
detection tool | detector will process per second. The value must be in the range [0.016; 100] |
| Type | Fire |
Detection detection tool | 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. | Info |
|---|
| For the 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%. |
|
| Ignore black and white image | Yes | The parameter is disabled by default. If you don't want the |
detection tool to trigger | 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 detection | 5 | Specify the minimum number of frames with fire for the |
detection tool to triggerdetector to generate an event. The value must be in the range [5; 20] |
| Scanning mode | Yes | The parameter is |
enabled | disabled by default. You can use the scanning mode (see |
Scanning mode in Axxon One| 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 |
| Mode | CPU | |
the a processor for the neural |
network—CPU, one of NVIDIA GPUs or one of Intel GPUs General information on configuring detection detection tool |
| 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 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 |
detection tool 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 |
trigger the toolgenerate an event. If the scale is red, fire is detected, and the |
detection tool will triggerdetector 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
|
detection tool will trigger detector will generate an event when the scale has at least four divisions full over the entire detection period. |
The triggering stop end when the scale has less than two divisions full over the detection period. The |
detection tool will trigger 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):
- Right-click in the preview window.
- 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 detector will analyze only this area. The rest of the frame will be ignored.
- 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 detector will analyze the entire frame. The part of the frame not included in the specified polygons will be blacked out.
| Note |
|---|
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You can specify the detection areas similarly to the excluded areas of the Scene analytics detection tools (see Configuring the Detection Zone). 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. |
| Info |
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- 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 delete the selected area, click the
 Image Modified button.
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To save the parameters of the detection tooldetector, click the Apply 
button. To cancel the changes, click the Cancel 
button.
