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Parameter | Value | Description | |||||
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Object features | |||||||
Record mask to archive | Yes | By 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 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 is enabled by default. To disable the detection tool, select the No value | |||||
No | |||||||
Name | Fire Detection | Enter the detection tool 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 will process per second. The value must be in the range [0.016; 100] | |||||
Type | Fire Detection | Name 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.
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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 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 triggergenerate 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 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 | Select the a processor for the neural network—CPU, one of NVIDIA GPUs or one of Intel GPUs network operation (seeHardware requirements for neural analytics operation, Selecting Nvidia GPU when configuring detection tools).
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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, 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 triggergenerates an event, if the scale is red through the sampling period (50 seconds by default).
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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 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 will analyze the entire frame. The part of the frame not included in the specified polygons will be blacked out.
Note title Attention! 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 rectangle, for others—with polygon.
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