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1.  In the Period from and to fields (1) specify the time period for which the analytics data is to be displayed.
   
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 spacify the values corresponding to minimum and maximum number of person passes (3).
4. In the Similarity, % field (4) specify similarity percent between the captured face and the reference image. If this value is exceeded, the face will be considered as recognized.
5. Click the Filters button (5) to view the analytics by cameras: 
   1. In the Camera drop-down list (1), select the filter to display the cameras in the field (2).
      
   2. In the Cameras field (2), set the checkboxes for the cameras which analytics should be displayed.
   3. Click OK (3) to save the filter. 

6. Click the Refresh button (6) to refresh the analytics.

   Info
   title Note
   If a large number of unique faces is stored in the database, then refreshing the analytics may take a long time. If the Operation has timed out error occurs while the analytics is being refreshed, then it is necessary to increase the value of the AnalitycTimeout parameter in the face_client.run.config configuration file (for details, see the XML-file parameters reference guide).

   
   

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

   Info
   title Note
   You can also generate a report on gender analytics in the Intellect Web Report System (see Gender Analytics Report).

   

   Info
   title Note
   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).

   
   

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