⛏️faceRecoCompareFaceWithId

Description

Compare existing user's face with a face in the id using the face recognition system.

Parameters

Parameter	Type	Description
profileId	string	unique profile id of the user, in case duplicate user will not be created
image	string	base64 image data of the user id

Response

Parameter	Type	Description
message	string	message about the response
status	int	0 for user id already exists 1 for successful execution and user creation -1 for any error occurs during the execution of the request

Example Request and Response

Prerequisites

Before making requests with QUBIT SDK, you must have it installed.

You can install QUBIT SDK using either npm or yarn. Use the following commands to install QUBIT SDK:

npm install @nest25/ai-core-sdk
OR
yarn add @nest25/ai-core-sdk

Request

Here is an example of how to make a faceRecoRegisterUser request using the QUBIT SDK:

// import the ai-core-sdk
const fs = require('fs');
import {AIServices} from '@nest25/ai-core-sdk';

// reusable arrow function to encode file data to base64 encoded string
const convertBase64 = async (path) => {
    // get the extention of the image
    let words = path.split('.')
    let extention = words.pop();
    // read binary data from file
    const bitmap = fs.readFileSync(path);
    // convert the binary data to base64 encoded string
    let base64String = bitmap.toString('base64');
    return `data:image/${extention};base64,${base64String}`;
};

// relative path to the file
const filePath = 'playground/sample.jpg';

// create a new instance of the sdk
const aiServices = new AIServices();

async function main() {
  // get the result of the test
  let result = await convertBase64(filePath);
  const result = await aiServices.faceRecoCompareFaceWithId('user_id', result);
  console.log(result);
}

main();

Response

{
    "status": 1,
    "message": "User photo matches with the id."
}