"Queues" section#
The "Queues" section is designed to manage and analyze crowds in real time (Figure 125). The section allows you to:
- track the number of people in zones (for example, a queue at the entrance to a shopping center);
- manage zones—create, configure, delete.

Monitoring#
The "Monitoring" tab helps you to record cases of excess/insufficient number of people in zones. Monitoring areas (zones) are shown as cards (1 in Figure 125). Cards are combined into groups by zone type, for example, store checkouts or entrances to a shopping center. The zone card contains the following information:
- Zone name;
- Number of people in the zone. If the number of people is less than the threshold, the value is highlighted in green; if the number is greater than or equal to the threshold, it is highlighted in red;
- Image—a photo of the latest event or a live stream. Click to open a photo of the event with dots on the faces of people that were counted in the event frame.
- "Stream settings" button—click to edit the zone;
button and stream status—click to switch the stream status: stop or resume.
To configure stream cards, click (2 in Figure 125) and fill in the fields in the opened window (Figure 126):
Field |
Values |
---|---|
Show at card |
Select display settings:
|
Show on frame |
Select the detection area to show:
|
Show dots on faces |
Enable to display points calculated from face coordinates on the event frame Customize colors and sizes of the points. |

To create a zone, click the "Add" button (3 in Figure 125) and select "Stream". After filling in the required fields, click save, and then in the zone card, select "Stream settings" to set more flexible behavior. Fill in the fields (Figure 127):
Field |
Values |
---|---|
Basic parameters |
|
Name |
Specify the name of the monitoring zone (stream) |
Group |
Specify the group to which the monitoring zone belongs |
Stream data |
|
Full path to the stream |
Path to the source of the video stream.
To use video files and images, move them to the Docker container |
Timing format |
Select what the time dimension will be based on:
|
Start time |
Starting point for timing. To activate, select |
Camera rotation angle |
Specify the angle to rotate the camera image: 0/90/180/270 degrees |
Restart options |
|
Automatically restart |
Enable if you want the stream to restart automatically
For more information on auto-restart, see the "Streams automatic restart" section in the LP5 documentation. |
Geolocation |
Set the stream location parameters or specify the camera's geolocation on the map: City, District, Street, Region, House number, Longitude (in degrees), Latitude (in degrees) |
Video analytics parameter |
Parameters of the "People counting" video analytics |
Count type |
Specify thresholds for generating people counting events:
Set at least one of the values. |
Number of people in frame |
The minimum number of people to generate an analytical event. |
Event creation interval (in seconds) |
The period at which events are created while the track is running |
Event image format |
Determines the file format in which the image from the frame is recorded: .png or .jpeg |
Image quality |
Specifies the image quality from 0 to 1 that should be applied when processing the frame: 1 means good quality, 0 means bad one. |
Image size (in pixels) |
Determines the file format in which the image from the frame is recorded |
Frame analysis frequency measurement type |
Frame rate unit: seconds or frames |
Frame analysis frequency |
Depending on the selected frame analysis frequency measurement type:
The selected frames are then analyzed by video analytics and, if the threshold value is met, are selected to create a track. |

Save the changes or delete the stream using the buttons in the upper right part of the page.
Create a stream group to combine monitoring zones. To do this, click the "Add" button (3 in Figure 125) and select "Group". Specify the group name and add the created monitoring zones to it (Figure 128)
