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The PPE Equipment detection tool (PPE) locates people individuals wearing no personal protective equipment within the area where it's required, and also individuals wearing improperly applied PPE.
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It is recommended to use the detector in a "gateway" environment: at the entrance to an area in which equipment or PPE is required, the employee is delayed for 5—10 seconds, during which the detection tool determines the presence of the necessary equipment (see Examples of configuring Equipment detection tool (PPE) for solving typical tasks). |
For detection tool 's operation, you need at least two separate neural networks are used:
- a segmenting network
Segmenting network—it structures up an image of a human body (locates head, shoulders, arms, hands, thighs, legs and feet);
- a classifying network detects PPE
Classifying network—it detects equipment (PPE) on a specified body part, and checks if it's properly applied.
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.
Note title Attention! To train a classification neural network, it is necessary to provide a list of equipment (see Example of providing a list of valid equipment at the facility).
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The equipment detection tool (PPE) requires an additional Neuro Pack to be installed (see Installing DetectorPack addons) | ||
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Applying neural tracker may level up detection quality for the cost of increasing CPU load. |