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Documentation for Axxon One 3.0/3.1 version. Documentation for Axxon One 2.0 version
is also available.
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Configuration of the detector
To configure the Equipment detector (PPE), do the following:
- Go to the Detectors tab.
- Below the required camera, click Create… → Category: Production Safety → Equipment detector (PPE).
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)—helmet and vest (see Functions of the Equipment detector (PPE)). If necessary, it is possible to train the neural network for the equipment used at a specific facility (see Provide a list of valid equipment at the facility to train a neural network for the Equipment detector (PPE)). You can change the detector parameters. The list of parameters is given in the table:
| Parameter | Value | Description |
|---|---|---|
| Object features | ||
| Video stream | Main stream | If the camera supports multistreaming, select the stream for which detection is needed |
| Record objects trajectories | Yes | The metadata is recorded to the database by default. To disable the parameter, select the No value |
| No | ||
| Record mask to archive | Yes | By default, the mask is recorded to the archive (human body segmentation) (see Display of the information from a detector (mask)). To disable the parameter, select the No value |
| No | ||
| Object identification | ||
| Name | Equipment detector (PPE) | Enter the detector name or leave the default name |
| Enable | Yes | The detector is enabled by default. To disable, select the No value |
| No | ||
| Type | Equipment detector (PPE) | Name of the detector type (non-editable field) |
| Number of frames processed per second | 1 | Specify the number of frames that the detector will process per second. The value must be in the range [0.016, 100]. Attention! 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. |
| Decoder mode | Select a processor for video decoding. CPU is selected by default | |
| Auto | GPU takes priority (decoding with Nvidia NVDEC chips). If there is no appropriate GPU, the decoding uses the Intel Quick Sync Video technology. Otherwise, CPU is used for decoding | |
| CPU | CPU is used for decoding | |
| GPU | GPU is used for decoding (decoding with Nvidia NVDEC chips) | |
| HuaweiNPU | HuaweiNPU is used for decoding | |
| Basic settings | ||
| Detection mode | CPU | Select a processor for the detector operation (see Hardware requirements for neural analytics operation, Selecting Nvidia GPU when configuring detectors). CPU is selected by default Attention!
|
| Nvidia GPU 0 | ||
| Nvidia GPU 1 | ||
| Nvidia GPU 2 | ||
| Nvidia GPU 3 | ||
| Intel NCS (not supported) | ||
| Intel Multi-GPU | ||
| Intel GPU 0 | ||
| Intel GPU 1 | ||
| Intel GPU 2 | ||
| Intel GPU 3 | ||
| Intel HDDL (not supported) | ||
| Min person width | 0.01 | Specify the minimum width of a person in the frame as a percentage of the frame 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 height | 0.01 | Specify the minimum height of a person in the frame as a percentage of the frame height (0.15 = 15%). Objects that are smaller than the specified size aren't detected. The value must be in the range [0, 1] |
| Advanced settings | ||
| Track lifespan | Yes | By 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 detection | 3 | 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]. Attention! To operate the detection 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. |
| Segmentation neural network file | By default, the segmentation neural network is initialized according to the selected processing device in the Detection mode parameter. The standard segmentation 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. Attention!
| |
| Mask | Yes | The parameter is disabled by default. If you want to display the human body segmentation in the preview window, select the Yes value |
| No | ||
| One event per PPE element | Yes | 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. Example A person not wearing a helmet appears in the frame, puts on a helmet, and then puts it off. If the One event per PPE element parameter is enabled, you will have one alarm event; otherwise—two. |
| No | ||
| 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 Detection mode parameter. To initialize only one item of equipment, select the required file of the classification neural network. Attention!
| |
| Сlassification network 2 file | ||
| Сlassification network 3 file | ||
| Сlassification network 4 file | ||
| Сlassification network 5 file | ||
| Invert Results | ||
| Invert results of network 1 | Yes | The parameter is disabled by default. To receive events about the detection of equipment (PPE) specified in the Classification network file parameters, set the Yes value in the corresponding Invert results of network parameters
|
| No | ||
| Invert results of network 2 | Yes | |
| No | ||
| Invert results of network 3 | Yes | |
| No | ||
| Invert results of network 4 | Yes | |
| No | ||
| Invert results of default network | No | The parameter is disabled by default. To receive events about the detection of equipment (PPE) 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 | ||
By default, the entire frame is the detection area. In the preview window, you can specify one or several detection areas using the anchor points 
(see Configuration of a detection area).
Note
- For convenience of configuration, you can "freeze" the frame. Click the
button. To cancel the action, click this button again. - To hide detection area, click the
button. To cancel the action, click this button again. - To change the size of a detection area, right-click an anchor point and drag it in the required direction.
- To delete a detection area, click the
button.
To save the parameters of the detector, click the Apply 
button. To cancel the changes, click the Cancel 
button.
Configuration of the Equipment detector (PPE) is complete. The Equipment detector (PPE) generates 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 are improperly applied. To ensure the correct reception of the email notifications (see Email notification) after the detector's event is generated, you must configure a separate macro with an email message for each item of equipment. If necessary, you can create and configure the required sub-detectors on the basis of the Equipment detector (PPE) (see Standard sub-detectors).
Examples of configuring the Equipment detector (PPE) for solving typical tasks
The Equipment detector (PPE) supports two main application scenarios: control at entry (gateway mode) and continuous monitoring in the production conditions. By default, the detector is optimized for operation in gateway mode.
Detection in gateway mode
Purpose: To check the presence of equipment and personal protective equipment (PPE) on a person passing through a controlled area—a door, turnstile, barrier, or virtual line. The scenario places increased demands on the quality of the assessment, so the detector analyzes the person's static posture. Operating algorithm:
- A person stops in front of a controlled area where equipment or PPE is required.
- A person poses in a way that makes it possible to check the presence of all elements of equipment. The elements of equipment are visible and aren't obscured by body parts, other elements of equipment, items of clothing, or other objects.
- Screening of a person. The detector performs the evaluation. There must be no obstacles between the person and the camera, blocking the person for screening.
Detection in production conditions
Purpose: Monitoring of equipment (PPE) in areas of free movement of personnel (workshop, warehouse, construction site). People are not intentionally positioned in front of the camera—the detector analyzes them as they move, in their natural working postures. Operating algorithm:
- The detector continuously processes the video stream and evaluates all people within the detection area.
- The evaluation is performed on the fly, without stopping the subject.
- The result is calculated based on the best angle for the time the person is in the frame.
The recommended settings for solving typical tasks
| Parameters | Detection in gateway mode | Detection in production conditions |
|---|---|---|
| Object identification | ||
| Number of frames processed per second | 1 | 7 |
| Basic settings | ||
| Min person width | 0.01 | 0.03 |
| Min person height | 0.01 | 0.09 |
| Advanced settings | ||
| Number of measurements in a row to trigger detection | 3 | 7 |
| Mask | No | No |
| One event per PPE element | Yes | Yes |
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