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To configure the PPE detection tool ( VL), do the following:
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- Go to the Detection Tools tab.
- Below the required camera, click Create… → Category: Other → PPE detection VL.
By default, the detection tool is enabled and set to detect people who enter or stay in the protected area without the necessary equipment and personal protective equipment (PPE).
If necessary, you can change the detection tool parameters. The list of parameters is given in the table:
| Parameter | Value | Description |
|---|---|---|
| Object features | ||
| Record objects tracking | Yes | The metadata is recorded to the database by default. To disable the parameter, select the No value |
| No | ||
| Video stream | Main stream | If the camera supports multistreaming, |
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| select the stream for which detection is needed |
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| Other | ||
| Enable | Yes | The detection tool is enabled by default. To disable the detection tool, select the No value |
| No | ||
| Name | PPE detection VL | 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 |
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| CPU | ||
| GPU | ||
| HuaweiNPU | ||
| Minimum authenticity threshold | 90 | Specify |
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Set the frame rate value for the detection tool to process per second (4). This value should be in the range [0,016; 100].
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| the minimum level of |
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| recognition accuracy for creating a track |
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| title | Note |
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| . You must select the appropriate value empirically. The higher the value, the |
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| fewer objects will be detected, but at the same time the recognition quality will be higher. |
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| The value must be in the range [1, 100] | ||
| Mode | CPU | Select a processor for the neural network operation |
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( |
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Selecting Nvidia GPU when configuring detectors).
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| Note | ||
|---|---|---|
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If you specify other processing resource than the CPU, this device will carry the most of computing load. However, the CPU will also be used to run the detection tool. |
| Nvidia GPU 0 | |||||||
| Nvidia GPU 1 | |||||||
| Nvidia GPU 2 | |||||||
| Nvidia GPU 3 | |||||||
| Number of frames processed per second | 1 | Specify the number of frames that the neural network will process per second. If the detection tool recreates the track for the same object, which leads to incorrect counting, increasing the value can help eliminate false positives. The higher the value, the more accurate the tracking, but the higher the CPU load. The value must be in the range [0.016; 100].
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| Number of measurements in a row to trigger detection |
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| 10 | Specify the minimum number of frames |
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| with a violation for the detection tool |
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| to generate |
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| an event. The value |
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| must be in the range [ |
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| 2, 50] | ||
| One detection per track | Yes | By default, |
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| the detection tool |
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| generates an event for each |
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| element of equipment |
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| once per track existence. If you want the detection tool to generate an event for each equipment violation, |
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| select |
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| the No value | ||
| No | ||
| Type | PPE detection VL | Name of the detection tool type (non-editable field) |
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).
| Info | ||
|---|---|---|
| ||
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To save the parameters of the detection tool, click the Apply 
button. To cancel the changes, click the Cancel 
button.
The PPE detection VL will generate an event when a person is in the frame without the necessary equipment and personal protective equipment on the specified parts of the body or when equipment and personal protective equipment is improperly applied
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