Locksmith AI's Authcam

Locksmith AI is a Face Authentication AI startup that aims to help developers integrate Face ID functionality in their websites. Locksmith AI's Node library provides Authcam, a React webcam component which is connected to Locksmith AI's backend API for authenticating users via Face ID.

How it Works

Register

1. User clicks the Register using Face ID button, redirecting to the Authcam.
2. Authcam gets the identity of the platform that the user wants to be registered on through the accessKey and secretKey.
3. The user's face will be saved and trained on the website's user faces database using Microsoft Azure's face service
4. The user's face and Face ID will be sent to the website's database through a JSON Response

Login

Installation

Install the package with:

npm install locksmithai

Usage

The package needs to be configured with your account's access key and secret key, which is available in the LocksmithAI Dashboard.

// react component

import { Authcam } from "locksmithai";

function App() {
  const secretKey = '<YOUR_SECRET_KEY>'
  const displayName = '<YOUR_DISPLAY_NAME>'
  const type = '<REGISTER_OR_LOGIN>'
  const uniqueId = '<YOUR_UNIQUE_ID>'

  return (
    <Authcam type={type} displayName={displayName} uniqueId={uniqueId} secretKey={secretKey} />
  );
}

export default App;

Props

| prop | notes | | ---------------| -------------------------------------------------------------| | type | Can either be register or login | | accessKey | Can be generated from your Locksmith AI account's dashboard | | secretKey | Can be generated from your Locksmith AI account's dashboard | | displayName | Your company or website's name |

JSON Response

After every registration, Locksmith AI will automatically send API Responses containing the registered user's face and Face ID in JSON format, to update the website's user database

Register

{
    "session": "register",
    "keys": "register",
    "register": "register"
}

Login

{
    "session": "register",
    "keys": "register",
    "register": "register"
}