Starting with the major release of fio.js 1.9, FACEIO Webhooks have been rebuilt from the ground up to improve latency and provide new functionality like payload field inclusion which is available starting from the Business Plan, and up.

Webhooks allows you to receive data and get notified at real-time about the ongoing events during the interaction of the FACEIO Widget with your users (eg. New user enrollment or authentication) in-order to keep your application backend up-to-date & synchronized. FACEIO uses Webhooks to let your system know when such events happen. Events includes New User Enrollment, Facial Authentication Success, Facial ID Deletion, and many other events.

When an event occurs, FACEIO makes an HTTP POST request to the URL you configured for the Webhook. FACEIO’s request includes details of the ongoing event such as the Unique Facial ID of the user being enrolled or authenticated, its gender & age in case of new enrollment, timestamps, event type, IP information, linked payload, and many others details.

Enabling Webhooks

Registering your Webhook endpoint URL for receiving events for your FACEIO application is straightforward as shown in the detailed steps below:

1. Connect to your account via the FACEIO Console first.
2. From the console main view, visit the Application Manager.
3. Select the target application for which you want to setup webhooks for.
4. Navigate to the WEBHOOKS tab from the manager main view.
5. Once the target application selected. Enter your Webhook Endpoint URL for receiving events and save your modification.
6. You're all set. Upon an event is triggered, FACEIO shall make an HTTP POST request to the URL you configured for the Webhook with the appropriate fields.

Major Enhancements

Starting with the 1.9 release, here are the quick highlights, with more details in the Webhooks page dedicated documentation:

• Faster notifications.
• JSON Based POST Requests.
• IPv6 Support.
• Payload Field Inclusion.
• HTTP1.1/2 Protocol Support.
• Full Support for TLS 1.3 Requests.

The PixLab development team is pleased to announce the immediate availability of FACEIO's fio.js V 1.9. A major release which implements highly requested features from our customers including but not limited to:

• Face Duplication (same user enrolling twice or more) Prevention.
• Dynamic Session Reloading without Page Refreshing.
• Faster facial features collection during enrollment.
• Upto 1.3x faster facial authentication operation.
• French, Japanese, Vietnamese & Dutch new language packs.

As usual, this update is transparent to our end users & fio.js implementers, and no action is required on your side if you link directly the library from the FACEIO CDN.

Face Duplication Prevention:

When enabled, this option shall prevent the same user from enrolling twice or more on your application. That is, if the facial features of the user being enrolled are already recorded, the enroll operation is aborted, and the fioErrCode.FACE_DUPLICATION error code is raised to your host application instead. This option is immediately available to trigger from the FACEIO Console. Please refer to the updated boilerplate code to see this feature in action.

When this option is disabled (default case), it is considered, a no-error operation for the same user to enroll twice or more on your application. This will trigger a collision, and ask the user to confirm his PIN code whenever an authentication operation occurs with the user in question.

Session Reloading without Page Refreshing:

The introduced restartSession() method let you purge the current user session and request a new one. By default, sessions in FACEIO starts following the first call to the enroll() or authenticate() method whichever comes first, and are immutable. After successful call to this method, the old session is discarded, a new one is created, and you can perform another round of calls to enroll() or authenticate() for the same user without reloading (refreshing) the entire HTML page or relying on an external JavaScript function such as location.reload() to do so.

Please note that dynamic session generation via this method are available to the Premium Plans only. Think of upgrading your Freemium application from the FACEIO Console first before calling this method on your frontend

Finally, for additional information & to learn more about implementing FACEIO on your website or web application, please refer to the following documents:

• Getting Started Tutorial: Learn the fundamentals about implementing facial authentication on a typical web application.
• Integration Guide: Learn how to implement fio.js, our facial recognition library on your website.
• Developer Center: Code samples, documentation, support channels, and all the resources yo 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.

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).

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)
• Japanese (ja)
• French (fr)
• Vietnamese (vi)
• Indonesian (id)
• Malay (ms)
• Turkish (tr)

Upcoming Language Pack

• Korean (kr)
• Arabic (ar)
• Italian (it)
• Simplified Chinese (cz)
• Polish (pl)
• Russian (ru)
• Czech (cs)

FaceIO Launch Press Release

• Biometric Update: PixLab launches face biometrics authentication framework for web applications.
• Symisc Systems Press Announcement: https://cdn.faceio.net/fio-press-release.pdf.

Community Articles & Tutorials

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:

• Getting Started Tutorial: Learn the fundamentals about implementing facial authentication on a typical web application. 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 yo 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.
• How to Authenticate a User with Face Recognition in React.js.
• Face Log in/Sign up form using FaceIO, Next.js and Tailwind CSS.
• How to Authenticate a User via Face Recognition in Your Web Application.
• How to use Facial Recognition to Enhance user Experience on your Website using FaceIO.
• Using React-Typescript With FaceIO for User Face Authentication.

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.

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

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...
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 👏. 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.

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.

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 Car Vectors by Vecteezy

Extracted Fields Showcase

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:

• Python Gist. Also available on the PixLab Gitub Repository:
• PHP Gist. Also available on the PixLab Gitub Repository:

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.

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

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.