Add an Analytics case

Analytics cases can only be created for cameras with HD video streams.
Before you start adding a new analytics case, ensure, there are available licenses for the corresponding type of analytics. This can be done on the Statistics tab.
The number of used licenses corresponds to the number of cameras that are added to the analytics case.

If no license is available, when attempting to create an analytics case, a corresponding message will be displayed on the screen.

The process of adding an analytics case involves several steps. Depending on the analytics type, the configuration may differ:

Types of analytics

When creating an analytics case, specify the type of analytics. The following types are available:

Face recognition. This tool is designed to automatically recognize human faces in video streams. It identifies individuals by comparing the detected faces with references in existing databases. This comparison allows for accurate identification based on the best match.
Counting objects in an area. This tool automatically locates and determines the exact number of objects (people) in a designated area of a video stream. Notifications are sent when the number of objects in the area changes.
Zone intrusion detection. This tool automatically locates motion within a designated area of a video stream.
License plate recognition. This is an automated tool designed to detect and identify the license plate of a vehicle from a video stream. It uses advanced algorithms to locate the license plate within the video frame.

Refer to the list of countries whose license plates are recognized by VMS algorithms.

Visitors counting. This tool automatically locates and determines the exact number of people passing through a specific area or entrance over a certain period of time.
Camera damage/overlap/vandalism detection. This feature is designed to automatically detect and identify instances of camera interference, including damage, blockage, or vandalism, within a video stream. By continuously monitoring the video feed, it can promptly alert the system or the user when such incidents occur.
Detection of loud sounds. This tool automatically detects loud sound events using the microphone of the video camera.
Smoke and fire detection. This tool automatically locates and detects smoke and open flames in a designated area of the video stream.
Line crossing detection. This tool automatically locates and verifies instances of crossing a designated line within a video stream.
Container number recognition. This tool automatically locates vertical and horizontal numbers of cargo containers.

The subsequent sections offer comprehensive explanations of the procedure for incorporating analytics cases of various kinds