Press Release & New Languages Pack for FaceIO

We are pleased to share our Press Release launch document, as well as, new enhancement introduced to FaceIO, our Web based facial Recognition framework for Websites & Web applications with a set of new languages pack for a more than friendly user experience (UX).

New FaceIO language pack

Since its launch two months ago, FaceIO have been proven to be a rock solid product, with a slick & easy integration regardless of the underlying JavaScript framework whether it is React.js, Next.js, Vue.js, Angular or even Vanilla JavaScript. As of this announcement, Over 10K FaceIO Applications has been deployed, easing users authentication thanks to a passwordless experience powered by face recognition.

Available Language Pack

  • English (en Default, fallback language)
  • German (de)
  • Portuguese (pt)
  • Spanish (es)
  • Dutch (nl)
  • French (fr)
  • Vietnamese (vi)

Upcoming Language Pack

  • Japanese (jp)
  • Korean (kr)
  • Arabic (ar)
  • Italian (it)
  • Simplified Chinese (cz)
  • Polish (pl)
  • Russian (ru)
  • Czech (cs)
  • Indonesian (id)
  • Malay (ms)
  • Turkish (tr)

FaceIO Launch Press Release

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Community Articles & Tutorials

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It’s super quick to implement FaceIO, and get it up & running on your website or web application. The following tutorials, and guides should help you roll facial recognition to your web users in a straightforward manner:

FACEIO - Facial Authentication Framework Officially Launched

PixLab is delighted to announce the immediate availability of FACEIO, our web-based, facial authentication framework developed from scratch here at PixLab in the past few years.

Introducing FACEIO - Facial Authentication for the Web

The TLDR;

FACEIO is a cross-browser, facial authentication framework that can be implemented on any website via simple JavaScript snippet to easily authenticate users via Face Recognition instead of the traditional login/password pair or OTP code.

You can start implementing FACEIO on your website or web-based application immediately by following our getting started guide here.

The Developer Intro

FACEIO is a cross-browser, Cloud & On-Premise deployable, facial authentication framework, with a client-side JavaScript library (fio.js) that integrates seamlessly with any website or web application desiring to offer secure facial recognition experience to their users.

Put it simply, FACEIO is the easiest way to add passwordless authentication to web based applications. Simply implement fio.js on your website, and you will be able to instantly authenticate your existing users, and enroll new ones via Face Recognition using their computer Webcam or smartphone frontal camera on their favorite browser.

Once fio.js implemented on your website, you'll be able to instantly recognize your existing users, on-board new members securely with maximum convenience, and at real-time thanks to passwordless experience powered by face recognition.

FACEIO works with regular Webcams or smartphones frontal camera on all modern browsers, does not require biometric sensors to be available on the client side, and works seemingly with all websites and web-based applications regardless of the underlying front-end JavaScript framework or server-side language or technology.

Features

  • Authenticates and confirms identity of users instantly without FIDO keys, OTP codes, or security questions.
  • Full cross-browser compatibility (Chrome, Firefox, Safari, Edge & Chromium derivatives).
  • Zero external dependency. Only standard technology implemented in plain JavaScript & CSS.
  • Defense grade accuracy with less than 100 milliseconds recognition speed powered by state-of-the-art facial recognition engines.
  • Highest security standards. Privacy by design with maximum user convenience. No requirements for biometric sensor.

Adding FACEIO to your website

Enroll New User

Implementing FACEIO on your website or webapp is straightforward. Before so, you need to create a new application first on the FACEIO Console, and link this resource to your website or web application. The checklist below highlights the steps to follow for a smooth integration of fio.js on your site:

  1. Create a new FACEIO application first: Follow the Application Wizard on the FACEIO Console to create your first application and link it to your website or web application.
  2. The Application Wizard should automate the creation process for you. Usually, this involve inputting an application name, selecting a facial recognition engine, cloud storage region, reviewing security options, customizing the Widget layout, and so forth... FACEIO Application Wizard
  3. Once your first FACEIO application created, simply implement fio.js, our facial recognition JavaScript library on your website, and initialize the library with your application Public ID.
  4. Congratulations đź‘Ź. You have FACEIO up & running! Now, it's time to enroll() and authenticate() your first user via face recognition. Refer to the HTML Integration Boilerplate on how to do so...

Some Links to Get Started

It’s super quick to implement FACEIO, and get it up & running on your website or web application. The following tutorials, and guides should help you get started with FACEIO:

  • Getting Started Tutorial: Learn the fundamentals. Your first steps with FACEIO...
  • Integration Guide: Learn how to implement fio.js, our facial recognition library on your website before rolling facial authentication to your audience...
  • Developer Center: Code samples, documentation, support channels, and all the resources you need to implement FACEIO on your website...
  • Frequently Asked Questions: Get instant answers to the most common questions.
  • Trust Center: Learn how we handle your data securely and in compliance with privacy and legal requirements.
  • Implement Facial Authentication on your Vue.js App: In this article we’ll walk through how to set up a vue typescript webpack that uses FACEIO as an authenticator.

PixLab’s Document Scanner now able to scan Driving License issued by any U.S. state

The PixLab Optical Character Recognition team is thrilled to announce that its document scanning API endpoint /DOCSCAN, is now able to scan U.S. Driver’s licenses and driving permits issued by jurisdictions from all the 50 U.S. states.

DOCSCAN API endpoint now supports scanning US driver’s license from all 5O states

The /DOCSCAN API endpoint now allows any Website that is presented with a U.S Driver’s License, International Passport or ID Card to verify that the inputted information by the end user matches those present on the submitted or uploaded ID document image.

Usage & Code Samples

Given an input U.S driver’s license image issued by any of the 50 U.S. states, crop the license holder face, and extract fields of interest as follow:

Input U.S driver’s license image Courtesy of Victor Metelskiy Input U.S driver’s license image

Extracted Fields Showcase extracted fields from the submitted driver's image

The extracted fields after successful call to the /DOCSCAN API endpoint are:

  • License holder cropped face. This image will be stored on an AWS S3 bucket of your choice if you connect your target bucket from the PixLab Console.
  • Issuing Country (USA obviously).
  • Issuing State Name.
  • Issuing State Two-Letter Code.
  • License Number.
  • License Holder’s Full Name.
  • License Holder’s Address.
  • License Holder’s Date of Birth (yyyy-mm-dd).
  • License Issuing Date (yyyy-mm-dd).
  • License Expiry Date (yyyy-mm-dd).
  • License Holder’s Gender.

The code samples that is used to achieve such results are available via the following Gists:

Algorithms Under the hood

  • Face extraction is automatically performed using the /FACEDETECT API endpoint.
  • /DOCSCAN already supports GET & POST HTTP methods so you can upload your document images directly from your application without relying on a foreign server. Refer to this Gist on how to do so.
  • Upon the image processed on our server, it is automatically deleted. We do not keep trace or any log of your input images.
  • Internally, we mainly rely on PP-OCR which is a practical ultra-lightweight OCR system that is mainly composed of three parts: Text Detection, Bounding Box Isolation, & Text Recognition. This combination produces highly accurate results in less than 5 seconds of processing.

Further Reading

  • The official endpoint documentation is available to consult here, and the reader is more than encouraged to take a look at our production ready, code samples, available in various programming languages on the PixLab Code Samples Page.

Announcing PixLab On-Premises

Symisc Systems is pleased to announce the immediate availability of PixLab On-Premises for the general public.

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PixLab On-Premises allows organizations with restrictive IT policies or requirements for tighter integration to deploy portion or the entire PixLab stack on their own infrastructure, giving them complete control over their media assets. The on-premise version of PixLab contains exactly the same features as the cloud solution, and it will require minimal IT intervention to deploy and maintain.

Notable Features Of PixLab On-Premises

  • Complete control over your media assets. No assets leaves the deployment server.
  • Passports & ID Cards scanning capabilities similar to the DOCSCAN API endpoint.
  • Not Safe for Work (NSFW) content moderation similar to the cloud NSFW API endpoint.
  • Image & Video tagging similar to the cloud TAGIMG API endpoint.
  • Straightforward & Automated Installation.
  • Continuous Updates, Bugs & Security Fixes.
  • TLS Encrypted Transaction.
  • Completely Removed Telemetry.

Eligibility, Package Order & Delivery

PixLab On-Premises is designed to address critical privacy and security needs of Enterprise customers without sacrificing performance or the user experience. Find out more information about system requirements, eligibility, how to place an order, supported environments, etc. on the dedicated page at pixlab.io/on-premise.