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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.

   Note
   title Attention!
   It is not recommended to specify a period of more than 7 days, as this can cause an error in the analytics construction. It is also recommended to enable the grouping of similar faces (see Configuring the grouping of similar faces).

   

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 specify 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.

   Info
   title Note
   The Similarity, % field can be hidden if the grouping of similar faces is enabled (see Configuring the grouping of similar faces).

   
   

5. Click the Filters button (5) to specify the face characteristics filters: 
   1. In the Camera drop-down list (1), specify the substring to filter out the cameras to be displayed in the field (2).
      
   2. In the Minimum age and Maximum age fields (3) specify the minimum and maximum age of persons to be displayed in the search results, respectively.

   3. In the area (4), set the checkboxes next to the corresponding face characteristics.

      Info
      title Note
      Face characteristics (3) and (4) may not be displayed (see Configuring permissions and additional settings).

      
      

   4. Click OK (3). 

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).

   
   

In the section (8) the general analytics data about the captured faces is displayed.

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In the table (10) in the Image column the unique faces are displayed. Their quantity is equal to the Unique faces value shown in the section (8). The sum of the unique faces number and the number of all their passes equals to the Faces processed value shown in section (8). In the area (11), the images of the last five passages of faces similar to the unique faces from the table (10) are displayed. 

To perform the search using the image from the Search results section, right-click the corresponding image and select Search from the menu (1). As a result, you will be redirected to the face search (see Face search), and the selected face will be automatically searched, and the captured face will be loaded as the search image.

To view the moment when the found face appears on the video, right-click the corresponding image and select Video archive -> <Date and time> (2). As a result, a video archive with a paused video will be displayed in the monitor for video archive playback (see Configuring permissions and additional settings) (for details about working with video archives, see Working with the archives).

To display the camera that captured the face on the map, right-click the corresponding image and select Show on map from the menu (3).

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