Legacy Restful API
1.0.0
1.0.0
  • Introduction
  • Biometric Engines
  • Getting Started
  • User
    • Create User
    • Delete User
  • Face Engine
    • Enroll Face
    • Verify Face
    • Adapt Face
    • Delete User Face Enroll
    • Find User Id by Face
    • Find Multiple Id by Face
    • Find Face Properties
  • Liveness
    • Biometrics Status
    • Biometrics Liveness
  • Voice Engine
    • Enroll Voice
    • Verify Voice
    • Adapt Voice
    • Delete User Voice Enroll
    • Get Available Languages
  • OCR Engine
    • Validate Document
    • Validate Document (base64)
    • Verify document photo
    • Verify document photo (base64)
  • Auxiliar Methods
    • Get enroll Status
    • Has Pending Dialogue
    • Restart User State
    • Find UserId by MacAddress
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  1. Face Engine

Adapt Face

To perform an adaption to the user’s biometric face sample registered on the engine, the method to be used is Adapt Face. Similar to the face verification process, this method is expecting a user’s face sample. In case of success, the system will replace the face registry by the new sample provided and respond that this process is complete with success. In case of failure, it’s necessary to repeat this process until the adaption process is completed with success.

Adapt Face

POST Https://api.biometrid.com/api/1.0/users/:userId/dialogue/adapt/face

Adapt User's face enroll on provider.

Path Parameters

Name
Type
Description

userID

string

BiometrID user ID

Headers

Name
Type
Description

Content-type

string

Request content type (This is not required to be set. Referenced only to show how we expect data to be sent). { "Content-Type": "multipart/form-data" }

x-biometrid-key

string

Application Client Key

x-biometrid-secret

string

Application Client Secret

Request Body

Name
Type
Description

liveness

boolean

Optional liveness state flag. For now, just implemented on the biometrid SDK.

photo

object

Image file containing user's face for biometric analysis. File format: jpeg, png or jpg. Maximum file size 1 Mb.

HTTP/1.1 200 OK
//Adapt Face
{
    "status": true,
    "data": {
      "message": "FACE_ADAPTED_WITH_SUCCESS",
      "adapted": true,
      "faceImg" 'http://static.findface.pro/uploads/5836b930a43d246605076eb8(...).jpg'
    }
}

//Adapt Face Failed
{
    "status": false,
    "data": {
        "message": "FACE_ADAPT_FAILED",
        "reason": "No faces found on 'photo'"
      }
}

//Adapt Face Failed
{
    "status": false,
    "data": {
        "message": "FACE_NOT_REALIABLE_TO_ADAPT",
        "alreadyExists": false
      }
}
HTTP/1.1 400 Bad Request
//No photo file detected on request. Not sent or invalid format
    {
        "status": false,
        "data": {
            "message": "NO_FILE_OR_INVALID_FORMAT"
        }
    }
// User face not enroled on this provider.
{
    "status": false,
    "data": {
        "message": "ENROLL_USER_FACE_FIRST"
    }
}
// Missing Headers
 {
    "status": false,
    "data": {
        "message": "AUTHENTICATION_HEADERS_MISSING"
    }
}
HTTP/1.1 401 Unauthorized
{
    "status": false,
    "data": {
        "message": "INVALID_AUTHENTICATION_HEADERS"
    }
}
HTTP/1.1 402 Payment Required
{
    "status": false,
    "data": {
        "message": "REQUEST_LIMIT_REACHED"
    }
}
HTTP/1.1 404 Not Found
// No active engine configuration for this provider.
    {
        "status": false,
        "data": {
            "message": "NO_FACE_ENGINE_CONFIGURATION_AVAILABLE"
        }
    }
 // User's id not exists in biometrid environment.
    {
        "status": false,
        "data": {
            "message": "USERID_NOT_EXISTS"
        }
    }
//Client not found by given key.
    {
        "status": false,
        "data": {
            "message": "CLIENT_NOT_FOUND/CHECK_AUTHENTICATION_HEADERS"
        }
    }
 
Example (JSON)
{
    "photo": face.jpeg
    "liveness": true
}

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Last updated 6 years ago

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