To view the analytics data of the Face recognition and search interface module click the Analytics button.

Analytics data are formed by Visitor counting channel. If this channel was not activated at system setup, the Analytics button is disabled. See also Activation of the recognition module in the Face Intellect software section in the Face Intellect. Administrator's Guide.

To configure the displaying of analytics data, do the following:

  1. Enter the start and end of period for which the analytics data is to be displayed in the Period from: and to: fields (1).

  2. From the Show faces drop-down list select faces which are to be displayed: recognized, unrecognized or all (2).
  3. In the Accesses (min): and Accesses (max): fields enter the values corresponding to minimum and maximum number of person passes (3).
  4. In the Similarity field specify similarity level for a captured face and reference image, so that the face will be considered recognizer if this level is exceeded (4).
  5. Click the Refresh button to refresh the displayed data (5).

  6. Click the  button (6) to generate a report on the displayed analytical data, it is necessary to press the button (7). This report can be printed, saved to an rsd or xml file, or exported to PDF.


    To limit the number of rows (unique faces) in the generated report, it is necessary to change the value of the CounterRowCount parameter in the face_client.run.config configuration file (for details, see XML-file parameters reference guide).


General analytics data about the captured faces will be displayed in the section (7).

The horizontal axis of the diagram (8) shows the total number of passes; the vertical axis shows the age of the captured faces. For example, the diagram below shows that two males and two females of age 22 passed through twice, which is 4 passes in total.

The Undefined gender is displayed in case the Age/gender defining channel was not activated by the time of the face capture (see Activation of the recognition module in the Face Intellect software).

In the table (9) in the Image column the unique faces are displayed. Their quantity is equal to the Unique faces value shown in the section (7). The sum of the unique faces number and the number of all their passes equals to the Faces processed value shown in section (7). In the area (10), the "doubles" of these unique faces are displayed.