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.

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.

The PixLab Computer Vision team is pleased to announce the immediate availability of PixLab Annotate. A web based image annotation, labeling & segmentation tool for Machine Learning model training tasks and beyond...

Annotate Features Set:

• Rectangle, Polygon, Zoom & Drag labeling tool.
• Consistent JSON output accepted by most Machine Learning frameworks.
• Optimized for instance segmentation (Mask R-CNN, etc).
• Client-side persistent storage - No data transfer involved.
• Persistent & easy label management (Create, Modify & Delete).
• Full screen display & Snapshot capture.

At PixLab, we really believe that annotate is a great fit for data scientists, developers or students looking for a straightforward, online image segmentation and labeling tool for their daily machine learning model training tasks and beyond...

Annotate Homepage

• annotate.pixlab.io

Feature & Support Requests

• PixLab Github Repository

Developed by our colleague Mrad Chams from Symisc Systems and entirely powered by the PixLab OCR API endpoint.

Talkie OCR - A state-of-the-art OCR scanner that practically turn almost any images with human readable characters into text content which is in turn transformed into human voice in your native language & accent. Built in features includes:

• Automatically Recognize the Input Language & Speaks your Accent: Once the scanned image (Book page, magazine, journal, scientific paper, etc.) recognized & transformed into text content, you'll be able to playback that text in your local accent & over 45 languages of your choice!
• State of the art OCR processing algorithm powered by PixLab.
• Speaks over 45 languages with their accents.
• Built-in translation service to over 30 foreign languages of your choice.
• Built-in Vision Impaired Mode with the ability to recognize the input language automatically.
• Playback Pause & Resume at Request.
• Offline Save for Later Read & Playback.

• App Store Link: apps.apple.com/us/app/id1512795289
• Play Store Link: play.google.com/store/apps/details?id=net.symisc.ocr.img.speech
• App Website: i2s.symisc.net

The PixLab development team is pleased to announce the immediate availability of the PixLab API 1.9.72.

Since its launch on 2017, PixLab have already processed over 450 Millions of users contents whether static images, GIF or Videos Frames. This milestone release introduces new API endpoints, various minor bug fixes, processing speed improvements by up to 5% and many innovative features. Let's start with the one we are existed about in no particular order:

• Passports & ID Cards Scan: While documents scanning were introduced in earlier version of the PixLab API via the /docscan endpoint. This release pushes further the accuracy of the OCR engine. A 5MB raw Passport sample now takes less than 3 seconds to execute including face detection & extraction, MRZ (Machine Readable Zone) extraction and finally transformation of the Raw MRZ data into textual content. You can try out the accuracy of the Passport scanning engine using these Python and PHP scripts to see it in action.
• DNS infrastructure moved to Cloudflare for faster than ever response times.
• Full support for HTTP/2 and HTTP/3 (QUIC).
• Up to three layers of redundancy for the standard PixLab OCR engine for faster, accurate & guaranteed scan results.
• A fresh update of the adult & gore content detection ML model which is used to power the famous PixLab /NSFW API endpoint that have already analyzed over 100 millions of user contents with high accuracy.
• Face Detection (including facial landmarks extraction) & Emotion Pattern (including gender & age) extraction are now using the RetinaFace Model which scores the highest on the LFW dataset.
• The /docscan API endpoint now fully support scanning ID cards from Malaysia & Singapore and many other countries (at users request) as well the brand new India Aadhar ID card. Find out more information about Aadhard fully support via our blog announcement here.
• Finally, a brand new, high performance custom image processing layer written in C/C++ and powered by ImageMagick and our Embedded computer Vision Library SOD is integrated directly into our cloud API.

Pixlab customers are more than advised to take a look at The official API endpoints documentation, The Samples Page, The Github repository for additional information.

Finally, for potentially interested users, you are more than welcome to start a 7 days free trial to see the API in action. Simply head to the PixLab Dashboard and activate your free trial from there.

Follow PixLab on social media to keep up-to-date with the latest company news, research highlights and benefit from a range of useful resources including (but not limited to) our brand new API services such the state-of-the-art Passports & ID Cards scanning API, the new facial recognition engine which achieve 99.8% success ratio and many more API endpoints for building intelligent applications.

• LinkedIn: linkedin.com/company/pixlabio.
• Facebook: facebook.com/pixlab.io/.
• Twitter: twitter.com/unqlite_db.
• Reddit: reddit.com/r/pixlab/.
• Quora: quora.com/topic/PixLab.
• Github: github.com/symisc/ (Our parent company repository of open source projects).

Don't forget! You can instantly reach our support team via the PixLab dashboard and we always guaranty a response in 48 business hours timeframe for your integration and support assistance!