Búsqueda Facial 1:N (En Vivo)

Endpoint

POST https://api.verifik.co/v2/face-recognition/search-live-face

Ejecuta detección de vitalidad en una sola imagen de prueba y, si pasa, realiza búsqueda 1:N en una colección.

Headers

Name	Value
Content-Type	application/json
Authorization	Bearer <token>

Parámetros

Name	Type	Required	Description
image	string	Sí	Cadena de imagen base64.
collection_id	string	No	Restringir búsqueda a esta colección.
os	string	Sí	ANDROID, IOS, o DESKTOP.
liveness_min_score	number	Sí	Umbral de vitalidad (0.5–1.0).
min_score	number	Sí	Umbral de coincidencia (0.5–1.0).
search_mode	string	Sí	Uno de FAST o ACCURATE.

Solicitud

Node.js

const fetch = require("node-fetch");

async function run() {
  const res = await fetch("https://api.verifik.co/v2/face-recognition/search-live-face", {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      Authorization: `Bearer ${process.env.VERIFIK_TOKEN}`,
    },
    body: JSON.stringify({
      image: "<base64>",
      collection_id: "<collection_id>",
      os: "DESKTOP",
      liveness_min_score: 0.6,
      min_score: 0.7,
      search_mode: "FAST"
    }),
  });
  console.log(await res.json());
}

run();

PHP

<?php
$ch = curl_init("https://api.verifik.co/v2/face-recognition/search-live-face");
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Content-Type: application/json",
    "Authorization: Bearer " . getenv("VERIFIK_TOKEN")
]);
$body = json_encode([
    "image" => "<base64>",
    "collection_id" => "<collection_id>",
    "os" => "DESKTOP",
    "liveness_min_score" => 0.6,
    "min_score" => 0.7,
    "search_mode" => "ACCURATE"
]);
curl_setopt($ch, CURLOPT_POSTFIELDS, $body);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$response = curl_exec($ch);
curl_close($ch);
echo $response;

Python

import os, requests

url = "https://api.verifik.co/v2/face-recognition/search-live-face"
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {os.getenv('VERIFIK_TOKEN')}"
}
payload = {
    "image": "<base64>",
    "collection_id": "<collection_id>",
    "os": "DESKTOP",
    "liveness_min_score": 0.6,
    "min_score": 0.7,
    "search_mode": "FAST"
}
r = requests.post(url, json=payload, headers=headers)
print(r.json())

Go

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "net/http"
    "os"
)

func main() {
    payload := map[string]interface{}{
        "image": "<base64>",
        "collection_id": "<collection_id>",
        "os": "DESKTOP",
        "liveness_min_score": 0.6,
        "min_score": 0.7,
        "search_mode": "ACCURATE",
    }
    b, _ := json.Marshal(payload)
    req, _ := http.NewRequest("POST", "https://api.verifik.co/v2/face-recognition/search-live-face", bytes.NewBuffer(b))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("Authorization", "Bearer "+os.Getenv("VERIFIK_TOKEN"))
    resp, _ := http.DefaultClient.Do(req)
    defer resp.Body.Close()
    var out map[string]interface{}
    json.NewDecoder(resp.Body).Decode(&out)
    fmt.Println(out)
}

Respuesta

200

{
  "id": "SLF01",
  "data": {
    "persons": [{ "id": "person_id", "score": 0.97 }],
    "liveness_score": 0.92
  },
  "signature": {
    "message": "Certified by Verifik.co",
    "dateTime": "January 16, 2024 3:44 PM"
  }
}

409

{
  "message": "\"os\" is required",
  "code": "MissingParameter"
}

Notas

• Los umbrales de vitalidad y búsqueda deben proporcionarse y estar dentro de los rangos permitidos.