Events that come in from the FIRSERVER object are listed in the table. The procedures are initiated when the corresponding event occurs. FIRSERVER events have the following format:
OnEvent("FIRSERVER","_id_","_event_") |
FIRSERVER events are described in the table.
Event | Description |
---|---|
GET_IMAGE | A request to get the image by the ID |
PERSON_NOT_FOUND | The face was captured but not recognized (cannot be found in the Face-Intellect database) |
FIND_PERSON | The face is recognized |
ADD_PERSON_FROM_FILE_OK | The reference face file is added to the Face-Intellect database |
ADD_PERSON_FROM_FILE_ERROR | There is an error while adding the reference face file to the Face-Intellect database |
IDENTIFY_ACCEPT | The verification is accepted |
IDENTIFY_DECLINE | The verification is declined |
RECOGNITION_PASS | The face is recognized and the Generating access event check box is set (see Configuring the access event generation). |
Action statement format for describing the actions with the Face Recognition Server:
DoReact("FIRSERVER","_id_","_command_" [,"_parameters_"]); |
FIRSERVER parameters are described in the table.
Parameters | Description |
---|---|
requestId<> | The ID of the request |
fraction<> | The millisecond when the face was captured |
owner<> | The server name for the PERSON_NOT_FOUND event |
protocol_id<> | The captured face ID (the link to the image) |
date<> | The date of the recognition completion |
id<> | The ID of the person added to the Face-Intellect database |
imageBase64<> | The face vector image in "base64" format |
guid_pk<> | The event ID (is generated randomly for every event) |
confidence<> | The quality percentage of the added face image, it has the double type and the 0.0-1.0 range of values |
capture_fraction<> | The millisecond when the face was added to the Face-Intellect database |
capture_date<> | The date of the image capture |
sim<> | The similarity percentage |
surname<> | The last name of the person who looks similar to the recognized face |
comment<> | The comment on adding the use (the face) |
capture_time<> | The time of the image capture |
cam_name<> | The name of the camera that captured the face |
patronymic<> | The middle name of the person |
filename<> | The full name of the image file |
department<> | The department the user (the face) is added to |
name<> | The name of the added user (face) |
obj_id<> | The face ID. The value is empty if there was no face match |
error<> | The explanation of why the error occured |
gender<> | The gender of the recognized or unrecognized face (unknown, male, female) |
age<> | The age of the recognized or unrecognized face |
param0<> | The similarity percentage during the verification |
total_passes<> | The general number of passes of the currently recognized face |
firstId<> | The unique identifier of the captured face |
camera_id<> | The identifier of the camera that captured a face |
camera_name<> | The name of the camera that captured a face |