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SDK","maintainers":[{"email":"mike@private.id","name":"mikepoll"},{"email":"shiven.juneja@gmail.com","name":"shivenj"},{"email":"nathan@privateid.com","name":"nathandent"},{"email":"haroon@privateid.com","name":"haroonpid"},{"email":"majid@privateid.com","name":"majid-rehman"},{"email":"fernando@privateid.com","name":"fernandosimoesprivateid"},{"email":"pah.dsf@gmail.com","name":"pahferreira"}],"readme":"

Private ID WebAssembly SDK

\r\n\r\n####

Powered by Private Identity®
[https://private.id](https://private.id)

\r\n\r\n

\r\nCryptoNets™ Wasm Module Implementation is an npm package that uses the W3C WebAssembly to perform 1:N fully homomorphically encrypted (FHE) face recognition. \r\n

\r\n\r\n#### BENEFITS\r\n\r\n\r\n#### BUILD\r\n\r\n\r\n## Prerequisite\r\n\r\nSign up on the waitlist on https://private.id to obtain your apiKey.\r\n\r\nInstallation\r\n\r\n```bsh\r\nnpm install @privateid/privid-fhe-modules\r\n```\r\n\r\nCopy the necessary dependencies to the public folder of your app\r\n\r\n```bsh\r\n\"prestart\": \"cp -R ./node_modules/@privateid/privid-fhe-modules/wasm public/&& cp -R ./node_modules/@privateid/privid-fhe-modules/workers public/\",\r\n\"prebuild\": \"cp -R ./node_modules/@privateid/privid-fhe-modules/wasm public/ && cp -R ./node_modules/@privateid/privid-fhe-modules/workers public/\"\r\n```\r\n\r\nAdd the necessary environment variables on the .env file in the root of your project\r\n\r\n\r\n```bsh\r\nSKIP_PREFLIGHT_CHECK=true\r\nREACT_APP_API_URL= \r\nREACT_APP_API_KEY=\r\nREACT_APP_WASM_MODULE= face_mask | face | voice\r\n```\r\n\r\n## Load the WASM Module\r\n\r\nThe first step is to load and initialize the wasm module and clear the content of the local database.\r\n\r\n```javascript\r\nimport { loadPrivIdModule, clearDB } from '@privateid/privid-fhe-modules';\r\n\r\nawait loadPrivIdModule();\r\nclearDB();\r\n```\r\n\r\n## Open or switch camera\r\n\r\nThe first step is to load and initialize the wasm module.\r\n\r\n#### Open the camera\r\n\r\nTo open user camera use the openCamera function with element id of the video tag in the DOM\r\n```javascript\r\nimport { openCamera } from '@privateid/privid-fhe-modules';\r\n\r\nconst { devices, faceMode } = await openCamera(element);\r\n```\r\n\r\nit returns list of the available video devices.\r\n\r\n#### Switch to another camera\r\n\r\nTo switch to another media device use the switchCamera function with the ID of the device to be used\r\n\r\n```javascript\r\nimport { switchCamera } from '@privateid/privid-fhe-modules';\r\n\r\nswitchCamera(deviceID);\r\n```\r\n\r\nfor the mobile phone we can select whether it's front or back camera for this we pass 'front' or 'back' to the switch function\r\n\r\n```javascript\r\nimport { switchCamera } from '@privateid/privid-fhe-modules';\r\n\r\nswitchCamera('front');\r\n```\r\n\r\n#### isValid \r\n\r\nLive demo: [https://age.devel.private.id]\r\n\r\nisValid 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. \r\n\r\nisValid accepts two parameters. \r\n- action: false for prediction (less restrictive), and true for enrollment (more restrictive). We recommend using false as your default. \r\n- ImageData: array of an image data to perform the face captcha on (optional)\r\n\r\n\r\n```javascript\r\nimport { isValid } from '@privateid/privid-fhe-modules';\r\n\r\nconst {result, imageData} = isValid (false);\r\n```\r\n\r\nFace CAPTCHA returns 17 possible coded results, as follows.\r\n\r\n| Property | Description |\r\n|----------|--------------------|\r\n| -1 | No Face |\r\n| 0 | Valid Biometric |\r\n| 1 | Image Spoof |\r\n| 2 | Video Spoof |\r\n| 3 | Too close |\r\n| 4 | Too far away |\r\n| 5 | Too far to right |\r\n| 6 | Too far to left |\r\n| 7 | Too far up |\r\n| 8 | Too far down |\r\n| 9 | Too blurry |\r\n| 10 | Glasses on |\r\n| 11 | Mask on |\r\n| 12 | Chin too far left |\r\n| 13 | Chin too far right |\r\n| 14 | Chin too far up |\r\n| 15 | Chin too far down |\r\n\r\n## Enroll or predict\r\n\r\nPerform a new enrollment (register a new user) or predict (authenticate a user) using the `enrollPredict` function\r\n\r\n```javascript\r\nimport { enrollPredict } from '@privateid/privid-fhe-modules';\r\n\r\nenrollPredict('userVideo', false, callback)\r\n```\r\nThe function takes 3 parameters \r\n\r\n\r\n| Property | Description |\r\n|----------|--------------------------------------------|\r\n| videoRef | Video tag |\r\n| action | True (enroll) / false (predict) |\r\n| callback | The callback to be executed on each status |\r\n\r\n## Callback \r\nThe `enrollPredict` function provides 5 status updates to allow the developer to take action at different steps of the identification process.\r\n\r\n| Status | Description |\r\n|---------------|---------------------------------------------------------------------------------|\r\n| VALID_FACE | A face is detected |\r\n| INVALID_FACE | A valid face is not detected |\r\n| ENROLLING | Enrollment (registration) starts of a valid face |\r\n| PREDICTING | Prediction (authentication) starts of a valid face |\r\n| WASM_RESPONSE | The prediction or enrollment process is complete |\r\n\r\n## Continuous enroll predict\r\n\r\nLive demo: [https://c.priv.id](https://c.priv.id)\r\n\r\nPerform continuous user enrollment or prediction (registration or authentication) using the `continuousEnrollPredict` function. This provides the same status updates as Enroll or Predict.\r\n\r\n```javascript\r\nimport { continuousEnrollPredict } from '@privateid/privid-fhe-modules';\r\n\r\ncontinuousEnrollPredict(false, callback)\r\n```\r\n\r\nThe continousEnrollPredict function takes 2 parameters\r\n\r\n| Property | Description |\r\n|----------|--------------------------------------------|\r\n| action | True (enroll) / false (predict) |\r\n callback | The callback to be executed on each status \r\n\r\n\r\n## isValidPhotoID (coming soon)\r\n\r\n\r\nThis function finds, crops, align and validate, front and back of the photoID, and returns back a valid cropped and aligned image of the photoID\r\n\r\nThe isValidPhotoID function takes 3 parameters\r\n\r\n| Property | Description |\r\n| -------- | ----------------------------------------------------------------------------------------------- |\r\n| docType | it can be either PHOTO_ID_BACK (back of the photo ID) or PHOTO_ID_FRONT (front of the photo ID) |\r\n| callback | returns the uuid of the portrait on the Front of the Photo ID |\r\n\r\nThe function returns\r\n\r\nresult: status of the validation of the document
\r\n\r\n| Status | Description |\r\n| ------ | -------------- |\r\n| 0 | valid document |\r\n| 1 | |\r\n\r\nhref: aligned and cropped image of the document returned in case of valid document

\r\nconfScore: confidence score indicates if the image contains the 4 corners of the document, without fingers or objects hidding the document, it goes from 0 to 1.

\r\n\r\n\r\nLicensing Restriction: This product is not licensed for use in regulated gaming. To license in this market, please contact [CentralAMS](https://www.centralams.com/). \r\n","readmeFilename":"README.md"}