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1. Create the script:

   Code Block
   if(Event.SourceType == "MACRO" && Event.Action == "RUN" && Event.SourceID == "1") { DoReactStr("FIRSERVER","1","VERIFY_START","cam_id<1>,p_id<15>,wait<10>"); }

   Parameters:

   • 1—the identifier of the Face recognition server object;
   • VERIFY_START—user verification command;
   • cam_id<1>—camera identifier. If you use the VisionLabs face recognition module, instead of the camera identifier, specify the identifier of the Face detection object; 
   • p_id<15>—the name of the file with a photo in the <Axxon PSIM installation folder>\Bmp\<Person> folder without resolution (for example, 15 for the 15.bmp file);
   • wait<10>—the waiting time in seconds for the face to appear.

2. Run the first macro. If the user from the photo does not appear in front of the camera in 10 seconds, the Verification declined event will be displayed. In case the user appears, the Successful verification event will be displayed immediately showing the similarity percentage of the captured face with the user photo stored on the disk.
   Example of a successful verification with output of the similarity percentage of a captured face to the user's photo, as well as the user's gender, body temperature, facial hair, evasion, and emotions:

   Code Block

   Event : FIRSERVER|1|IDENTIFY_ACCEPT|temperature_alarm <37>, imageBase64.0<>, emotion<neutral>,fraction<285>,int_obj_id<1>,temperature<36,6>,evasion<normal>,owner<PC>,gender<male>, sim<99.60>,facialHair<gm>,date<11-10-21>,from_script<1>,guid_pk<{1CCF1800-772A-EC11-94B6-D8BBC1166DF4}>,core_global<1>,p_id<11176>,wait<10>,cam_id<13>,time<12:38:42>,param0<Timeout>, imageBase64Count<1>, liveness<not_liveness>

   Example of an event when a photo doesn't match the face being verified:

   Code Block
   Event : FIRSERVER|1|IDENTIFY_DECLINE|temperature_alarm<>,fraction<371>,int_obj_id<1>,owner<PC>,noImage<0>,date<10-02-22>,from_script<1>, guid_pk<{51A469CC-438A-EC11-94E5-D8BBC1166DF4}>,timeout<1>,core_global<1>,p_id<1>,quality<83.864>,wait<10>,cam_id<2>,time<10:34:01>,param0<Timeout>

   Example of an event when a user doesn't have a photo:

   Code Block
   Event : FIRSERVER|1|IDENTIFY_DECLINE|temperature_alarm<>,fraction<367>,int_obj_id<1>,owner<PC>,noImage<1>,date<10-02-22>,from_script<1>, guid_pk<{B314D117-458A-EC11-94E5-D8BBC1166DF4}>,timeout<1>,core_global<1>,p_id<4>,quality<0>,wait<10>,cam_id<2>,time<10:43:14>,param0<Timeout>

   
   

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1. Create the script:

   Code Block
   if(Event.SourceType == "MACRO" && Event.Action == "RUN" && Event.SourceID == "1") { DoReactStr("FIRSERVER","1","CHECK_QUALITY_START","p_id<1>"); }

   Parameters:

   • • 1—the identifier of the Face recognition server object;
     • CHECK_QUALITY_START—the command for checking the quality of a saved user photo;
     • p_id<1>—the identifier of the user whose photo should must be checked. 
2. Run the first macro.
   

   If the quality of the photo is higher than the minimum quality of the face on the face recognition server, the following event is generated:
   

   Code Block
   Event : FIRSERVER|1|QUALITY_OK|fraction<413>,int_obj_id<1>,owner<PC>,date<08-02-22>,guid_pk<{11DB55C9-F188-EC11-94E4-D8BBC1166DF4}>, core_global<1>,p_id<3>,time<18:14:24>,param0<92.4644>

   If the quality of the photo is lower than the minimum quality of the face on the face recognition server, the following event is generated:
   

   Code Block
   Event : FIRSERVER|1|QUALITY_BAD|fraction<281>,int_obj_id<1>,owner<PC>,date<08-02-22>,guid_pk<{0742EBE0-F288-EC11-94E4-D8BBC1166DF4}>, core_global<1>,p_id<3>,time<18:22:12>,param0<92.4644>

   If there is no photo, the following event is generated:
   

   Code Block
   Event : FIRSERVER|1|QUALITY_BAD|fraction<517>,int_obj_id<1>,owner<PC>,date<24-02-22>,guid_pk<{1C9609E4-7795-EC11-A50D-74D435D0E19B}>, core_global<1>,p_id<3>,time<17:44:34>,param0<0>

   
   

3. If the photo quality is successfully checked, the user can also be verified (see the script for user verification above). If a photo of a low quality is detected, the user will be marked to find them in the Access Manager and replace the photo.
   

   Info
   title Note
   If the photo quality is higher than the quality of the face, set on the Face recognition server object, it doesn’t guarantee that the verification will be performed correctly 100% of the time. The verification result depends on the position and settings of the camera, on the lighting of the face, the camera angle and other derivatives. It is recommended to set the Similarity level on the Face recognition server settings panel to no higher than 50% and adjust it on a trial basis to get the required result.

Script for recognition upon request for a specific camera

You can recognize a face for a specific camera using the QUERY_RECOGNIZE_START command.

Face recognition upon request is only available for VA and VisioLabs modules.

Example of sending a request to recognize a face from one of several cameras is shown below.

if (Event.SourceType == "CAM" && Event.SourceId == "3" && Event.Action == "MD_START")
{
DoReactStr("FIRSERVER","1","QUERY_RECOGNIZE_START","from_script<1>,cam_facecapture<3.1>");
}

Parameters:

• 1—the identifier of the Face recognition server object;
• QUERY_RECOGNIZE_START—command to recognize a face upon request;
• from_script<1>, cam_facecapture<3,1>—the identifier of the script, Face Detection<identifier of the Face Detection object>.

If face was successfully recognized upon request, the Face detected event is displayed in the Debug window.