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To configure the Equipment detector VLTo configure the PPE detection tool (VL), do the following:
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- Go to the Detectors tab.
- Below the required camera, click Create… → Category: Other → Equipment detectorVL.
By default, the detector 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 detector 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 detector is enabled by default. To disable the detector, select the No value |
| No | ||
| Name | Equipment detector VL | Enter the 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 |
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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 fewer objects will be detected, but at the |
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| 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. |
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| 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 detector 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 |
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| for the detector 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 detector generates an event for each |
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| element of equipment |
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| once per track existence. If you want the detector to generate an event for each equipment violation, |
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| select the No value |
| No |
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| Type | Equipment detector VL | Name of the detector type (non-editable field) |
By default, the entire frame is the detection area. If necessary, you can reduce the rectangular detection area in the preview window using the anchor points 
(see Configuring a detection area).
| Info | ||
|---|---|---|
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To save the parameters of the detector, click the Apply 
button. To cancel the changes, click the Cancel 
button.
The Equipment detector 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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