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The PPE detection tool locates people wearing no personal protective equipment within the area where it's required.

For detection tool's operation, you need at least two separate neural networks:

• a segmenting network structures up an image of a human body (locates head, shoulders, arms, hands, thighs, legs and feet);
• a classifying network detects PPE on a specified body part. 

A PPE detection tool may use:

• its own metadata — in this case, the detection tool must be created under a camera parent object;
• metadata from the neural tracker — this requires detection tool creation under the neural tracker object.

To configure the PPE detection tool, do the following:

To set up the equipment detection tool (PPE), do the following:

1. Create a detection tool object under a camera or neural tracker parent object (see Creating Detection Tools).

2. If the camera supports multistreaming, select the stream for which detection is needed (1). 
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   If the detection tool is created under a neural tracker, you have to select a video stream from the neural tracker
3. Select one or several files for the classifying neural network (2). There must be a separate classifying neural network to recognize equipment on each body segment.
4. Set the interval between the analyzed frames - Delay between two measurements -  in milliseconds (23). The value should be within the range of 30 – 10,000.
5. Select the Mask checkbox to display body segments in the preview window (3)(4).
6. Set the minimum height and width of a person (5, 6) in the frame as a percentage of the frame height/width (0,15 = 15%). Objects which are smaller than the specified size will not be detected.
7. Select the processor for the neural network - CPU, one of GPUs, or Intel processors (47, see Hardware requirements for neural analytics operation).
8. Set the minimum number of frames containing people with no PPE for triggering the tool - Number of measurements in a row to trigger detection (58). The value should be within the range of 2 – 20.Select one or several files for the classifying neural network (6). There must be a separate classifying neural network to recognize PPE on each body segment

9. By default, each equipment element's triggering occurs once during a continuous tracking of a human object.  You can set triggering to multiple by setting the One Event per Equipment Element parameter to No (9).
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   Example. An individual not wearing a helmet appears in FoV, puts on a helmet, then puts it off. If the One Event per Equipment Element parameter is activated, you will have one alarm event, otherwise two.

   
   

10. Select the segmenting neural network file (710).

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    title Attention!
    To access the neural network, contact technical support https://support.axxonsoft.com/.

    
    

11. In the preview window, you can set the detection zones with the help of anchor points much like privacy masks in Scene Analytics (see Setting General Zones for Scene Analytics). By default, the entire FoV is a detection zone.
12. Click Apply.

Equipment detection tool (PPE configuration ) is now completeconfigured. 

The PPE equipment detection tool (PPE) triggers an alarm when a person not wearing required equipment (PPE) on specified body parts, or wearing inappropriate equipment, appears in FOVFoV.