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1. Go to the Basic settings tab on the settings panel of the Face Detection object.
   

2. There are several variations of the face detection operation depending on the setting of the external capture and Face recognition server (1):

   1. External capture is NOT selected and the detection is NOT added to any channel of the Face recognition server channels. In this case, faces are captured by Axxon PSIM face capturing, and vectors aren't generated. This option isn't used in Face PSIM.
   2. External capture is NOT selected, but the detection is added to any some channel of the Face recognition server channels. In this case, the photos of captured faces are captured and saved by by Axxon PSIM face capturing, the vectors are generated and saved to the database. This option does not allow face recognition Face recognition isn't available with this option (the search and visitor counting are available).
   3. External capture is selected, but the detection is NOT added to any channel of the Face recognition server channels. In this case, the photos of faces captured by the face recognition modules (see Structure of the Face PSIM software package) are captured and saved, and the vectors are generated, but the vectors are not aren't saved to the database. This option is only suitable for use in scripts.

   4. External capture is selected, and the detection is added to any channel of the Face recognition server channels. In this case, the photos of faces captured by the face recognition modules (see see Structure of the Face PSIM software package) are captured and saved, and the vectors are generated and saved to the database.

   The We recommend using the external capture is recommended for use. From the the External capture drop-down list, select the Face recognition server that will capture faces with the help of which the face capturing with the subsequent generation of a vector (if the the Create FIR in detection unit checkbox is set on the settings panel of the corresponding Face recognition server object—see Configuring the Face recognition server object) and saving of photos will be performed.

   Info
   title Note
   Proper configuring Correct configuration of the Face recognition server selected as external capture is performed with the help of the Cfgedit.exe utility (for the detailed information about this utility, see Cfgedit.exe utility for configuring the Cognitec face recognizer).

3. The Maximum performance mode is enabled by default (2). This mode allows improving the quality of face capture and recognition by using all available processor cores and increasing the RAM consumption. When If you disable this mode is disabled, the memory consumption will decreasedecreases, but faces can be missed at when capturing.

4. Set the border of the face search area border on the video image by specifying the required values in percent in the corresponding fields (3), or by clicking the button (4) and using the interactive interface. After you click the button, the window with the corresponding video camera image will openopens. To set the border of the face search area border, click :

   1. Click the Stop video button

   at the required time, select

   1. .

   2. Select the required area using the left mouse button

   , and then click

   1. .

   2. Click the OK button.

    The specified face

   1. The values of the specified border of the face search area

   border values will

   1. will be automatically entered in

   the

   1. the Left, Right, Top and Bottom fields of the Search area border % group.
      Image Modified

      Note
      title Attention!
      Setting the border of the face search area

   border

   1. is available only

   if

   1. for the VA

   or 

   1. and VideoIntellect 1.1 face recognition modules

   are used

   1. .

5. Set the Scaling and selection slider (5) to the position corresponding to the required scale of the captured face in the frame for recording and highlighting the face with a dynamic frame. The current scale value is displayed in the field above the slider and ranges from 1 (only the captured face is recorded) to 5 (the whole frame is recorded).
6. In the Processing speed, fps field (6), specify how many FPS from the video stream are processed by the Face detection program module. This parameter is necessary for reducing the load on the Server.

7. If it is necessary to convert the color video image to black and white image to generate the vectors by the black-and-white frames, then clear the Process color video checkbox (7).

   Note
   title Attention!
   Generation of vectors by black-and-white frames is supported by the VA and VideoIntellect 1.1 face recognition modules only. It reduces the CPU load, insignificantly affecting the face capture and recognition quality.

8. By default, the Face detection tool processes a video with the resolution set for the Camera parent object. To process a video with 320x240 pixels resolution, set the Process low resolution video checkbox (8).

   Info
   title Note
   Enabling this option reduces the load of the Server’s Server processor, but the probability of face capture also reduces.
   Note
   title Attention!
   The Process low resolution video setting is not relevant in case, isn't relevant when a high resolution is set for the Camera parent object. Also, this settings isn't used if the VA or VideoIntellect 1.1 module is applied for face capture used to capture a face.

9. Set the minimum and maximum width and height of the face on the video image in pixels in the corresponding fields of the Face size, pixels group (9).

   Info
   title Note
   If the specified minimum dimensions differ significantly from the actual ones, then the faces will not be captured. won't be recognized by the detection tool. For example, if the video contains large faces (15-30%), then if you set the minimum size to 5%, and the maximum size to 80%,  then then the faces will not won't be detected. However, if you specify a minimum size of 12% and a maximum size of 80%, the faces will be captured detected. Thus, if the detection tool is configured to capture small faces, then it cannot detect large ones, and vice versa.
   Info
   title Note
   If all parameters of face sizes size are set to 0, the Face Detection tool module uses similar parameters set on the  specified on the settings panel of the Face recognition server  object settings panel When using object (see Configuring the captured face size for recognition).
   Info
   title Note
   If you use the VisionLabs face recognition module, the minimum and maximum values for all face detection tools should must be the same, as the values are set for the entire software module.

10. From the Select GPU drop-down list (10), select a video card for recognition for the Tevian and VisionLabs modules. The Use GPU checkbox must be set on the settings panel of the Face recognition server object (see Configuring the recognition parameters of captured faces).
11. To save the changes, click the Apply button (1011).