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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, mask is recorded to the archive (human body segmentation) (see Displaying information from a detector (mask)). To disable the parameter, select the No value
No
Record objects trackingYesThe metadata is recorded to the database by default. To disable the parameter, select the No value
No
Video streamMain streamIf the camera supports multistreaming, select the stream for which detection is needed
Other
EnableYesThe detector is enabled by default. To disable, select the No value
No
NameEquipment detectorEnter 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 are used for decoding
CPU
GPU
HuaweiNPU
Number of frames processed per second1

Specify the number of frames that the detector will process per second. The value must be in the range [0.016, 100].

Note
titleAttention!

To operate the detector in a "gateway" (see Examples of configuring the detector for solving typical tasks), we recommend using the standard settings of the detector: 1 FPS and 3 FPS for output.

In conditions of dynamically moving people, we recommend setting the delay to at least 4 FPS, and the number of frames for output to at least 6 FPS.


TypeEquipment detectorName of the detector type (non-editable field)
Advanced settings
Сlassification network 1 file

By default, the following neural networks are initialized: Classification neural network (equipment and PPE on the head) and Classification neural network (equipment and PPE on the body) according to the selected processing device in the Neural network mode parameter. To initialize only one item of equipment, select the required classification neural network file. 
Each classification neural network recognizes equipment on the specific body segment. The standard classification 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, specify the path to the file.

Note
titleAttention!
  • 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).
Сlassification network 2 file
Сlassification network 3 file
Сlassification network 4 file
Сlassification network 5 file
MaskYesThe parameter is disabled by default. If you want to display the human body segmentation in the preview window, select the Yes value
No
Track lifespan (starting with Detector Pack 3.14)YesBy default, the parameter is disabled. If you want to display the track lifespan for an object in seconds, select the Yes value
No
Number of measurements in a row to trigger detection3

Specify the minimum number of frames on which the detector must detect a violation to generate an event. The value must be in the range [1, 20].

Note
titleAttention!

To operate the detection in a "gateway", we recommend using the standard settings of the detector: 1 FPS and 3 FPS for output.

In conditions of dynamically moving people, we recommend setting the delay to at least 4 FPS, and the number of frames for output to at least 6 FPS.

One event per PPE elementYes

By default, the detector's event is generated once for each element of equipment within a track of a person. If you want the detector to generate an event for each equipment violation, select the No value.

Info
titleExample

An individual not wearing a helmet appears in the frame, puts on a helmet, then puts it off. If the One event per PPE element parameter is enabled, you will have one alarm event, otherwise—two.


No
Segmenting network file

By default, the Segmenting neural network is initialized according to the selected processing device in the Neural network mode parameter. The standard segmenting 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, specify the path to the file.

Note
titleAttention!
  • 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).
Basic settings
Min person height0.01

Specify the minimum height and width of a person in the frame as a percentage of the frame height/width (0.15 = 15%). Objects that are smaller than the specified size aren't detected. The value must be in the range [0, 1]

Min person width0.01
Neural network mode








CPU

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

Note
titleAttention!


 

 

 

 

 

 

 

 

Nvidia GPU 0
Nvidia GPU 1
Nvidia GPU 2
Nvidia GPU 3
Intel GPU
Intel NCS (not supported)
Intel HDDL (not supported)
Intel Multi-GPU
Intel GPU 0
Intel GPU 1
Intel GPU 2
Intel GPU 3
Huawei NPU
Invert Results
Invert results of default network



No

The parameter is disabled by default. To receive events about the detection of equipment that are initialized in the Classification network file parameter by default (Classification neural network (equipment and PPE on the head) and Classification neural network (equipment and PPE on the body)), select the required value from the list

 

 

 

OnlyHelmet
OnlySafetyVest
AllNet
Invert results of network 0

Yes

The parameter is disabled by default. To receive events about the detection of equipment specified in the Classification network file parameters, set the Yes value in the corresponding Invert results of network parameters

 

 

 

 

 

 

 

No
Invert results of network 1

Yes
No
Invert results of network 2

Yes
No
Invert results of network 3

Yes
No
Invert results of network 4

Yes
No

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).

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