Getting the recognition protocol

POST http://localhost:10000/firserver/GetProtocols

JSON parameters and response example:

POST /firserver/GetProtocols HTTP/1.1
Host: localhost:10000
Content-Type: application/json
Cache-Control: no-cache
Postman-Token: e173f0b5-ed8d-649e-e4a3-5f751568f236
 
{
  "server_id": "1",
  "onlineRefresh": 1,
  "genders": [
    0,
    1,
    2
  ],
  "dateTimeFrom": "2020-05-14T16:25:55.687",
  "dateTimeTo": "2020-05-16T16:26:55.687",
  "cameraIds": [
    "1"
  ],
  "minAge": 0,
  "maxAge": 1000,
  "page": 1,
  "pageSize": 50,
  "sim_min": -1
}

where:

server_id - ID of the Face Recognition Server in the Face-Intellect software package (see the Configuring the Face Recognition Server object)
onlineRefresh - this parameter must be set to 1
genders - 0 - unknown, 1 - male, 2 - female
page, pageSize - paging parameters
cameraIds - camera IDs (GUID or the ID in the Intellect object tree)
sim_min - face types: -1 - all faces, 1 - only recongnized, 0 - only unrecognized
minAge, maxAge - age filter
dateTimeFrom, dateTimeTo - time filter in UTC format yyyy-mm-ddThh:nn:ss.fff.

Example of response with the recognized face:

{
    "Protocols": [
        {
            "id": "18D10CC2-9596-EA11-8A9A-B06EBF8119EF",
            "camera_id": "5",
            "camera_name": "grundig 5",
            "timestamp": "2020-05-15T10:20:54.657",
            "age": 55.4815,
            "gender": 2,
            "ethnicity": 3,
            "emotion": 4,
            "glasses": 2,
            "facialHair": 6,
            "hairColor": 1,
            "hairType": 3,
            "headwear": 13,
            "liveness": 1,
            "evasion": 1,
            "temperature": 36.6,
            "fir": {
                "data": "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",
                "engine": 3,
                "alg": 0
            },
            "Hits": [
                {
                    "id": "A5204509-9596-EA11-8A9A-B06EBF8119EF",
					"person_id": "2",
                    "sim": 0.249181,
                    "timestamp": "2020-05-15T10:15:44.807",
                    "surname": "Doe",
                    "name": "John",
                    "patronymic": "White",
                    "comment": "Senior developer",
                    "department": "IT department"
                }
            ]
        }
    ],
    "ProtocolsTotal": 1,
    "Status": "OK"
}

where:

id - identifier of the captured image;
camera_id - identifier of the camera that captured the face;
camera_name - name of the camera that captured the face;
timestamp - face capture time in UTC format;
age - age of face;
gender:
- 0 - unknown;
- 1 - male;
- 2 - female;
ethnicity:
- 0 - unknown;
- 1 - Mongoloid race;
- 2 - Negroid race;
- 3 - Caucasian race;
- 4 - East Indian race;
emotion:
- 0 - unknown;
- 1 - anger;
- 2 - fear;
- 3 - joy;
- 4 - without emotion;
- 5 - sadness;
- 6 - surprise;
glasses:
- 0 - unknown;
- 1 - dark glasses;
- 2 - no glasses;
- 3 - ordinary;
facialHair:
- 0 - unknown;
- 1 - beard;
- 2 - bristles;
- 3 - goatee and mustache;
- 4 - goatee;
- 5 - mustache;
- 6 - no facial hair;
hairColor:
- 0 - unknown;
- 1 - brunette;
- 2 - blond;
- 3 - brown;
- 4 - red;
- 5 - gray;
hairType - type of bald head:
- 0 - unknown;
- 1 - bald;
- 2 - with a receding hairline;
- 3 - no baldness;
headwear:
- 0 - unknown;
- 1 - cap;
- 2 - bandana;
- 3 - beret;
- 4 - hat;
- 5 - hat with earflaps;
- 6 - fur hood;
- 7 - glasses;
- 8 - hat;
- 9 - helmet;
- 10 - hood;
- 11 - cloth cap;
- 12 - scarf;
- 13 - no headwear;
- 14 - peaky cap;
liveness - fake face:
- 0 - unknown;
- 1 - no;
- 2 - yes;
evasion - concealment of the face:
- 0 - unknown;
- 1 - no;
- 2 - mask;
- 3 - dark glasses;
- 4 - face overlap;
temperature - face temperature in degrees Celsius;
Hits - the recognized face information from the faceDB and intellect databases. If the face is not recognized, the field will be empty:
- id - the identifier of the image from the reference face database;
- person_id - the identifier of the corresponding user in Intellect;
- sim - similarity rate of the captured face with the image from the reference face database;
- timestamp - time of receiving the image with the captured face;
- surname - last name;
- name - first name;
- patronymic - patronymic name;
- comment - comment;
- department - department.

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Documentation for Face Intellect 8.0-8.1. Documentation for other versions of Intellect is available too.