To configure the Fire Detectiondetector, do the following:
- Go to the Detection Tools tab Detectors tab.
- Below the required camera, click Create… → Category: Production Safety → Fire Detection detector.
By default, the detection tool detector is enabled and set to detect fire.
If necessary, you can change the detection tool detector parameters. The list of parameters is given in the table:
Parameter | Value | Description |
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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 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 are 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 |
; 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. |
infoNote | For the | - You cannot specify the network file in Windows OS. You must place the neural network file locally, that is, on the same server where you install Axxon One.
- For correct neural network operation on Linux OS, place the corresponding file locally in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory or in the network folder with the corresponding access rights.
- If you use a 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% (see Data collection requirements for neural network training).
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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 triggerin which the detector must detect fire to generate an event. The value must be in the range [5 |
; , 20] |
Scanning mode | Yes | The parameter is disabled by default. You can use the scanning |
mode (see Configuring the Scanning ) or or objects in areas far away from the camera (see Configuring the scanning mode). 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 detection tools other - another processing resource than the CPU, this device
|
|
will carry the - carries most of the computing load. However, the CPU
|
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will be detection tool- detector.
- Starting with Detector Pack 3.11, Intel HDDL and Intel NCS aren’t supported.
- Starting with Detector Pack 3.14, Intel Multi-GPU and Intel GPU 0-3 are supported.
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Nvidia GPU 0 |
Nvidia GPU 1 |
Nvidia GPU 2 |
Nvidia GPU 3 |
Intel GPU |
Intel NCS (not supported) |
Intel Multi-GPU |
Intel GPU 0 |
Intel GPU 1 |
Intel GPU 2 |
Intel GPU 3 |
Intel HDDL (not supported) |
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 trigger, Example. detector generates an event if the scale is red through the sampling period (50 seconds by default). |
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. |
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The triggering stop end when the scale has less than two divisions full over the detection period. The |
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detection tool will trigger detector will generate an event again if the scale has at least four divisions full over the entire detection period. |
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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 is ignored.
Image Removed
Image Added - 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 is blacked out.
Image Modified
Note |
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You can specify the detection areas similarly to the skip 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 a rectangle, for others—with a polygon. |
Info |
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- For convenience of configuration, you can "freeze" the frame. Click the
button. To cancel the action, click this button again. - To hide the detection area, click the
Image Modified button. To cancel the action, click this button again. - To delete the selected area, click the
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.
Configuring the Fire detector is complete.