Private ID v3 Wasm SDK
Powered by Private Identity®
https://www.privateid.com
This Private ID v3 Wasm SDK supports NIST 800-63 user registration with identity proofing, and user face login with FIDO Passkey, using Cryptonets fully homomorphically encrypted (FHE) for privacy and security.
FEATURES
- Biometric face registration and authentication compliant with IEEE 2410-2021 Standard for Biometric Privacy, and exempt from GDPR, CCPA, BIPA, and HIPPA privacy law obligations.
- Face registration and 1:n face login in 200ms constant time
- Biometric age estimation with full privacy, on-device in 20ms
- Unlimited users (unlimited gallery size)
- Fair, accurate and unbiased
- Operates online or offline, using local cache for hyper-scalability
BUILD
- Verified Identity
- Identity Assurance
- Authentication Assurance
- Federation Assurance
- Face Login
- Face Unlock
- Biometric Access Control
- Account Recovery
- Face CAPTCHA
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';
interface apiUrlProps {
collections: {
default: {
named_urls: {
base_url: string,
predict?: string,
enroll?: string,
validate_api_key?: string
};
};
};
}
interface loadModulesProps {
api_url: apiUrlProps;
api_key?: string;
api_orchestration_url?: string;
cache_config?: boolean;
}
const isSupported = await loadPrivIdModule({
api_url: {
collections: {
default: {
base_url: process.env.REACT_APP_API_URL,
}
}
},
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);
closeCamera();
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,
image,
config,
});
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,
config,
element,
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,
config,
});
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,
config,
});
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,
config,
});
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';
const InputImageBase64String = convertCroppedImage(inputImage, image_height, image_width);
const FrontCroppedDocumentBase64String = convertCroppedImage(croppedDocument, crop_doc_width, crop_doc_height);
const FrontCroppedMugshotBase64String = convertCroppedImage(croppedMugshot, cropped_face_width and cropped_face_height);
const CroppedBarcodeBase64String = convertCroppedImage(croppedBarcode, crop_barcode_width, crop_barcode_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;
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;
}
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;
type: ['phone', 'email'];
}
uploadPortrait
This function uploads user portrait image.
import { uploadPortrait } from '@privateid/cryptonets-web-sdk';
uploadPortrait({ id, portrait });
{
id: string;
portrait: string;
}
uploadDL
This function uploads front & back of Driver Licence image.
import { uploadDL } from '@privateid/cryptonets-web-sdk';
uploadDl({ id, type, image });
id: string;
type: 'frontDLoriginal', 'frontDLheadshot', 'frontDLcropped';
image: string;
uploadDl({ id, type, image });
id: string;
type: 'backDLoriginal', 'backDLbarcode';
image: string;
uploadDl({ id, type, barcode });
id: string;
type: 'barcodeJson';
barcode: string;
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;
attributes: {...};
}
getUserStatus
This function will return the status of user.
import { getUserStatus } from '@privateid/cryptonets-web-sdk';
getUserStatus({ id });
{
id: string;
}
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;
token: string;
}
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;
}
authenticatePasskey
The authenticatePasskey
function is used to authenticate a generated passkey.
import { authenticatePasskey } from '@privateid/cryptonets-web-sdk';
authenticatePasskey(uuid);
{
uuid: string;
}
deletePasskey
The deletePasskey
function is used to delete the generated passkey.
import { deletePasskey } from '@privateid/cryptonets-web-sdk';
deletePasskey(uuid);
{
uuid: string;
}