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Prerequisite

Sign up on the waitlist on https://www.privateid.com to obtain your apiKey.

Installation

npm install @privateid/cryptonets-web-sdk

Copy the necessary dependencies to the public folder of your app.

"prestart": "cp -R ./node_modules/@privateid/cryptonets-web-sdk/wasm public/&& cp -R ./node_modules/@privateid/cryptonets-web-sdk/workers public/",
"prebuild": "cp -R ./node_modules/@privateid/cryptonets-web-sdk/wasm public/ && cp -R ./node_modules/@privateid/cryptonets-web-sdk/workers public/"

In case of windows device: Please use a package such as copyFiles To copy the needed files in your public folder or any other similar package that suites your development.

Add the necessary environment variables on the .env file in the root of your project

SKIP_PREFLIGHT_CHECK=true
REACT_APP_API_KEY=

Optional environment variable

REACT_APP_API_ORCHESTRATION=
REACT_APP_SET_CACHE= true | false (Used for caching by default is true)

Load the WASM Module

The first step is to load and initialize the wasm module.

import { loadPrivIdModule } from '@privateid/cryptonets-web-sdk';
// load PrivModules accepts the following:
interface apiUrlProps {
  collections: {
    default: {
      named_urls: {
        base_url: string,
        predict?: string,
        enroll?: string,
        validate_api_key?: string
      };
    };
  };
}

interface loadModulesProps {
  api_url: apiUrlProps; // collection or collections of api url
  api_key?: string; // api key
  api_orchestration_url?: string; // if orchestration will be use and env is not available
  cache_config?: boolean; // if cace_config will be use and env is not available
}
const isSupported = await loadPrivIdModule({
    api_url: {
        collections: {
            default: {
                base_url: process.env.REACT_APP_API_URL,
            }
        }
    },
    // incase ENV variable is not available in your app provide your api key here
    api_key: "API KEY"
}:loadModulesProps);

The loadPrivIdModule() function returns an object to check if the device is supporting WASM and WebRTC.

{
    support: boolean,
    message: string,
}

Open or switch camera or close camera

The first step is to load and initialize the wasm module.

Open the camera

To open user camera use the openCamera function with element id of the video tag in the DOM

import { openCamera } from '@privateid/cryptonets-web-sdk';

const { devices, faceMode } = await openCamera(element);

it returns list of the available video devices.

Switch to another camera

To switch to another media device use the switchCamera function with the ID of the device to be used

import { switchCamera } from '@privateid/cryptonets-web-sdk';

switchCamera(deviceID);

for the mobile phone we can select whether it's front or back camera for this we pass 'front' or 'back' to the switch function

import { switchCamera } from '@privateid/cryptonets-web-sdk';

switchCamera('front');

Close the camera

To close user camera use the closeCamera function with element id of the video tag in the DOM.

import { closeCamera } from '@privateid/cryptonets-web-sdk';

closeCamera(element); // Will specifically look for the element id and will close that camera
closeCamera(); // By default will close opened camera using openCamera

isValid

Live demo: [https://age.devel.private.id]

isValid only exercises the is_valid() call and does not find identity. The function detects if there is a valid face in the camera view or in an ImageData Array.

isValid accepts three parameters.

• callback: callback function to perform actions.
• imageData: imageData to perform the face captcha on (optional)
• config: internal configurable settings (optional)

import { isValid } from '@privateid/cryptonets-web-sdk';

await isValid({
  callback, // callnack function
  image, // ImageData - Optional: If image data is passed it will validate the image that is passed instead of web camera
  config, // {[x:string]:any} - Optional: Additional configuration parameter;
});

Face CAPTCHA returns 26 possible coded results.

| Property | Description | | -------- | ------------------------- | | -100 | Internal error | | -1 | Invalid image | | 0 | Valid face | | 1 | Image spoof | | 2 | Video spoof | | 3 | Too close | | 4 | Too far | | 5 | Close to right edge | | 6 | Close to left edge | | 7 | Close to top edge | | 8 | Close to bottom edge | | 9 | Too blurry | | 10 | Eye glasses detected | | 11 | Facemask detected | | 12 | Chin too far left | | 13 | Chin too far right | | 14 | Chin too far up | | 15 | Chin too far down | | 16 | Image too dim | | 17 | Image too bright | | 18 | Face low confidence value | | 19 | Invalid face background | | 20 | Eyes closed | | 21 | Mouth open | | 22 | Face tilted right | | 23 | Face tilted left |

Liveness check 7 possible coded results: | Property | Description | |----------|----------------------------| | -100 | Invalid Image | | -4 | Invalid Face | | -3 | Face Too Close To Edge | | -2 | Mobile Phone Detected | | -1 | No Face Detected | | 0 | Real | | 1 | Spoof Detected |

Predict Age

Perform an age estimation using predictAge function on all detected faces from image or camera.

The function takes 4 parameters | Property | Description | |---------------|--------------------------------------------------------------| | callback | The callback function to handle predictAge results. | | config | Internal configurable settings (optional) | | element | The element ID of the video to be used. (optional) | | imageData | ImageData to perform the agePrediction on (optional) |

import { predictAge } from '@privateid/cryptonets-web-sdk';

await predictAge({
  callback, //Callback function
  config, // {[x:string]:any} Optional: Additional configurations
  element, // string Optional: Element id of video tag. if passed it will be used for predicting age.If not, it will use the default video element used in openCamera().
  image, //  ImageData Optional: If image is passed, it will predict the age on the image.
});

Enroll

Perform a new enrollment (register a new user) using the enroll1FA functio. The function will need 10 concecutive valid faces to be able to enroll. We would need to pass the same enroll_token on success using configuration. If enroll_token changes that means we had an invalid image for enroll and started again from the beginning. (Note: Concecutive 10 face needed.) When enrollment is successful after 10 concecutive valid faces, enroll1FA is returning one enrollment image that can be use for document mugshot comparison, etc.

The function takes 3 parameters | Property | Description | |---------------|--------------------------------------------------------------| | callback | The callback function to handle enroll results. | | config | Internal configurable settings (optional) | | element | The element ID of the video to be used. (optional) |

import { enroll } from '@privateid/cryptonets-web-sdk';

const image: ImageData | null = enroll(callback, { enroll_token: 'token' });

Predict

Perform predict (authenticate a user) using the predict1FA function

The function takes 3 parameters | Property | Description | |---------------|--------------------------------------------------------------| | callback | The callback function to handle enroll results. | | config | Internal configurable settings (optional) | | element | The element ID of the video to be used. (optional) |

import { predict1FA } from '@privateid/cryptonets-web-sdk';

await predict1FA(callback);

Face Login

Perform Face Login (authenticate a user) using the faceLogin function. Face login performs a more restrictive prediction of face.

The function takes 3 parameters | Property | Description | |---------------|--------------------------------------------------------------| | callback | The callback function to handle enroll results. | | config | Internal configurable settings (optional) | | element | The element ID of the video to be used. (optional) |

import { faceLogin } from '@privateid/cryptonets-web-sdk';

await faceLogin(callback);

Continuous Authentication

Perform continuous user prediction (authentication) using the continuousAuthentication function. This provides the same status updates as Predict.

import { continuousAuthentication } from '@privateid/cryptonets-web-sdk';

continuousAuthentication(callback, configuration, element);

The continuousAuthentication function takes 4 parameters

| Property | Description | | ------------- | ---------------------------------------------------------------- | | callback | The callback to be executed on each status | | configuration | Please use recommended: { input_image_format: "rgba" } | | element | (Optional) Element ID of the video tag where the camera is open. |

scanFrontDocument

import { scanFrontDocument } from '@privateid/cryptonets-web-sdk';

const { croppedDocument, croppedMugshotData } = scanFrontDcoument({
  callback, // Callback function to handle the response
  config, // Config setting
});

Scan Front Document Callback Return Data

{
    "callback_status": number,
    "doc_validation_status": number,
    "cropped_document": {
        "data": "",
        "width": number,
        "height": number
    },
    "cropped_mugshot": {
        "data": "",
        "width": number,
        "height": number
    },
}

Document Validation Status | Property | Description | |----------|----------------------------| | -2 | SYSTEM ERROR. Please try again later. | | -1 | Document Not Detected | | 0 | Success | | 1 | Spoof Detected | | 3 | Hold Still | | 4 | MOVE JUST A LITTLE CLOSER | | 9 | TOO BLURRY | | 18 | SHOW FRONT OF DOCUMENT |

scanFrontDocumentOcrAge

import { scanFrontDocumentOcrAge } from '@privateid/cryptonets-web-sdk';

const { croppedDocument, croppedMugshotData } = scanFrontDocumentOcrAge({
  callback, // Callback function to handle the response
  config, // Config setting
});

Scan Front Document OCR Age Callback Return Data

{
    "callback_status": number,
    "doc_validation_status": number,
    "cropped_document": {
        "data": "",
        "width": number,
        "height": number
    },
    "cropped_mugshot": {
        "data": "",
        "width": number,
        "height": number
    },
    "age_from_ocr_text": number,
    "dob_from_ocr_text": string,
}

Document Validation Status | Property | Description | |----------|----------------------------| | -2 | SYSTEM ERROR. Please try again later. | | -1 | Document Not Detected | | 0 | Success | | 1 | Spoof Detected | | 3 | Hold Still | | 4 | MOVE JUST A LITTLE CLOSER | | 9 | TOO BLURRY | | 18 | SHOW FRONT OF DOCUMENT |

backScanDocument

Automatically detects if you are on mobile or desktop. When in desktop we only capture the back of the document. Meanwhile in mobile, we are trying to extract the data from the pdf417 barcode of the document.

import { backScanDocument } from '@privateid/cryptonets-web-sdk';

const { croppedDocument, croppedBarcode } = backScanDocument({
  callback, // Callback function to handle the response
  config, // Config setting
});

Scan Back Document Callback Return Data

{
    "callback_status": number,
    "doc_validation_status": number,
    "barcode_detection_status": number,
     "cropped_document": {
        "data": "",
        "width": number,
        "height": number
    },
    "barcode_data": {
        "type": string,
        "format": string,
        "text": string,
        "first_name": string,
        "last_name": string,
        "middle_name": string,
        "expiration_date": string,
        "issue_date":string,
        "date_of_birth": string,
        "gender": string,
        "eye_color": string,
        "hair_color": string,
        "height": string,
        "street_address1": string,
        "street_address2": string,
        "res_street_address1": string,
        "res_street_address2": string,
        "city": string,
        "state": string,
        "postal_code": string,
        "customer_id": string,
        "document_id": string,
        "issuing_country": string,
        "middle_name_truncation": string,
        "first_name_truncation": string,
        "last_name_truncation": string,
        "place_of_birth": string,
        "audit_information": string,
        "inventory_control_number": string,
        "last_name_alias": string,
        "first_name_alias": string,
        "suffix_alias": string,
        "name_suffix": string,
        "name_prefix": string,
        "barcode_key": string,
        "barcode_key_encoding": string,
        "barcode_hash64": string,
        "barcode_hash128": string,
        "document_type": string,
    },
    "barcode_scan": boolean,
}

Document Validation Status | Property | Description | | -2 | SYSTEM ERROR. Please try again later. | | -1 | MOVE CLOSER | | 0 | Success | | 3 | ALMOST DONE . . . | | 4 | MOVE JUST A LITTLE CLOSER | | 9 | TOO BLURRY | | 10 | MOVE CLOSER TO BARCODE | | 18 | PRESENT BARCODE IN BOX |

Utility function for convertion of image returned by front and back dl scan

convertCroppedImage()

This is a utility function that helps for converting returned image from FRONT DL SCAN and BACK DL SCAN

import { convertCroppedImage } from '@privateid/cryptonets-web-sdk';

// FRONT DL SCAN and BACK DL SCAN
// For converting InputImage returned data FRONT DL SCAN and from BACK DL SCAN.
const InputImageBase64String = convertCroppedImage(inputImage, image_height, image_width);

// FRONT DL SCAN
// For converting croppedDocument returned data from FRONT DL SCAN.
// (Note: We would need other variables that is returned in the callback data. crop_doc_width, crop_doc_height)
const FrontCroppedDocumentBase64String = convertCroppedImage(croppedDocument, crop_doc_width, crop_doc_height);

// For converting croppedMugshot returned data from FRONT DL SCAN.
// (Note: We would need other variables that is returned in the callback data. cropped_face_width and cropped_face_height)
const FrontCroppedMugshotBase64String = convertCroppedImage(croppedMugshot, cropped_face_width and cropped_face_height);

// BACK DL SCAN
// For converting croppedBarcode returned data from BACK DL SCAN.
// (Note: We would need other variables that is returned in the callback data. crop_barcode_width and crop_barcode_width)
const CroppedBarcodeBase64String = convertCroppedImage(croppedBarcode, crop_barcode_width, crop_barcode_height);

// For converting croppedDocument returned data from BACK DL SCAN.
// (Note: We would need other variables that is returned in the callback data. crop_doc_width and crop_doc_height)
const CroppedDocumentBase64String = convertCroppedImage(croppedDocument, crop_doc_width, crop_doc_height);

faceCompareLocal

This function compares 2 faces if they are matching. In the callback it is returning a conf_score (recommended threshold for faceCompare is 0.25)

import { faceCompareLocal } from '@privateid/cryptonets-web-sdk';

faceCompareLocal(callback, imageData1, imageData2, { input_image_format: 'rgba' });

The faceCompareLocal function takes 4 parameters | Property | Description | | -------- | ----------------------------------------------------------------------------------------------- | | callback | a function that will handle the result of compare returned | | imageData1 | imageData datatype of the first image | | imageData2 | imageData datatype of second image | | config | Additional configuration. Please enter { input_image_format: "rgba" } as a default |

Sample returned data in callback:

{
    "error": number,
    "distance_max": number,
    "distance_mean": number,
    "distance_min": number,
    "conf_score": number,
    "face_thresholds_count": number,
    "face_thresholds": [
        number,
        number,
        number
    ],
    "result": number,
    "valid_flag_a": number,
    "valid_flag_b": number
}

Licensing Restriction: This product is not licensed for use in regulated gaming. To license in this market, please contact CentralAMS.

deleteUser

This function is used for deleting user with the uuid

import { deleteUser } from '@privateid/cryptonets-web-sdk';

deleteUser(uuid, callback);

Note: Please use Predict to get the user UUID you want to delete and pass it in

The function returns: result: status of the validation of the document

| Status | Description | | ------ | ------------------------ | | 0 | deletion is successful | | -1 | deletion is unsuccessful |

messege: deletion messege

checkPackageSupport

This function checks if the web browser supports WASM based on: https://www.lambdatest.com/web-technologies/wasm And also checks if WebRTC is supported based on: https://caniuse.com/?search=getusermedia

import { checkPackageSupport } from '@privateid/cryptonets-web-sdk';

checkPackageSupport();

The function returns: status: status is a boolean when "True" the browser supports WASM and "False" browser does not support WASM messege: Messege of the checking of package support.

API Utils

createUser

This function accepts { token (CID or GAN Unique ID/PlayerID), phone, email, ... } and creates user.

import { createUser } from '@privateid/cryptonets-web-sdk';

createUser(parmas)

params = {
    id?: string; // (CID or GAN Unique ID/PlayerID)
    guid?: string;
    phone: string;
    phoneVerified?: boolean;
    email?: string;
    emailVerified?: boolean;
    ssn4?: string;
    ssn9?: string;
    userConsent: boolean;
    userConsentDate: string;
    userFaceEnrollConsent?: boolean;
    consentVersion: string;
    portrait?: string;
};

sendEnrollSms

This function sends SMS to user's phone with a link to acquire front & back of Driver License from mobile. (also enroll face if faceEnrollConsent is true).
From the redirect link in SMS, you can find query string code. You can pass it through verifyToken function as a verification code to get user information.
You can use it if the webcam is lower than 2MP.

import { sendEnrollSms } from '@privateid/cryptonets-web-sdk';

sendEnrollSms({ id });

{
  id: string; // (CID or GAN Unique ID/PlayerID)
}

verifyToken

This function gets the verification code as parameter and return the user information if it's valid code.

import { verifyToken } from '@privateid/cryptonets-web-sdk';

verifyToken({ code, type });

{
  code: string; // verification code
  type: ['phone', 'email'];
}

uploadPortrait

This function uploads user portrait image.

import { uploadPortrait } from '@privateid/cryptonets-web-sdk';

uploadPortrait({ id, portrait });

{
  id: string; // (CID or GAN Unique ID/PlayerID)
  portrait: string; // Base64
}

uploadDL

This function uploads front & back of Driver Licence image.

import { uploadDL } from '@privateid/cryptonets-web-sdk';

// Uploading Front DL images
uploadDl({ id, type, image });
id: string; //Required
type: 'frontDLoriginal', 'frontDLheadshot', 'frontDLcropped';
image: string; // Base64 //Require

// Uploading Back DL image
uploadDl({ id, type, image });
id: string; //Required
type: 'backDLoriginal', 'backDLbarcode';
image: string; // Base64 //Required

// Uploading Back DL barcode JSON
uploadDl({ id, type, barcode });
id: string; //Required
type: 'barcodeJson';
barcode: string; //Required

| Parameter | Description | | --------- | --------------------------------------------------------------------------------------------------------------------- | | id | Id to be set for customerID. (Required) | | type | "frontDLoriginal", "frontDLheadshot", "frontDLcropped", "backDLoriginal", "backDLbarcode" , "barcodeJson". (required) | | image | base64 string of image. (Required for all type exept 'barcodeJson') | | barcode | JSON string of the barcode data. (Required for type 'barcodeJson') |

updateUser

This function update user preferred data.
i.e. address, city, state, country, postalCode, etc.
This information will be stored in preferred field of User object in DB.

import { updateUser } from '@privateid/cryptonets-web-sdk';

updateUser({ id, attributes })

{
    id: string; // (CID or GAN Unique ID/PlayerID)
    attributes: {...}; //
}

getUserStatus

This function will return the status of user.

import { getUserStatus } from '@privateid/cryptonets-web-sdk';

getUserStatus({ id });

{
  id: string; // (CID or GAN Unique ID/PlayerID)
}

Response

| Name | Value | Description | | -------------- | --------------- | ------------------------------------------------------------------------------ | | userRegistered | true, false | true if all user information provided for createUser function | | emailVerified | true, false | Email verified for user | | phoneVerified | true, false | Phone number verified for user | | manualPIIEntry | true, false | true for manual data entry (no Scan ID) | | userScanID | true, false | true Approved Scan ID |

validateSecurityToken

This function will validate the returned securityToken.

Note: Token are only valid for 5 minutes starting from the creation of token. After 5 minutes the token will be invalid.

import { validateSecurityToken } from '@privateid/cryptonets-web-sdk';

validateSecurityToken({ uuid, token });

{
  puid: string; // UUID of the user
  token: string; // Token from the api call i.e. enroll1Fa/predict1Fa
}

Response | Name | Value | Description | | ----------- | ------------ | ------------------ | | securityToken | string | The securityToken passed in the API call. | | securityTokenStatus | '1','0' | '1' being TRUE means securityToken is valid. '0' being FALSE means securityToken is invalid. |

clearCache

This is a utility function that will clear the cache data.

import { clearCache } from '@privateid/cryptonets-web-sdk';

clearCache();

generatePasskey

The generatePasskey function is used to generate a passkey based on a UUID.

import { generatePasskey } from '@privateid/cryptonets-web-sdk';

generatePasskey(uuid);

{
  uuid: string; // The UUID for which you want to generate a passkey (Required)
}

authenticatePasskey

The authenticatePasskey function is used to authenticate a generated passkey.

import { authenticatePasskey } from '@privateid/cryptonets-web-sdk';

authenticatePasskey(uuid);

{
  uuid: string; // The UUID for which you want to authenticate a passkey (Required)
}

deletePasskey

The deletePasskey function is used to delete the generated passkey.

import { deletePasskey } from '@privateid/cryptonets-web-sdk';

deletePasskey(uuid);

{
  uuid: string; // The UUID for which you want to delete the passkey (Required)
}