FB pixel

PixLab launches face biometrics authentication framework for web applications

PixLab launches face biometrics authentication framework for web applications
 

Machine vision company PixLab has launched its web-based facial authentication framework, FaceIO, which can be integrated on any website via JavaScript and is designed to authenticate users via face biometrics instead of the traditional login and password pairs or one-time password (OTP) codes.

“FaceIO is the easiest way to add passwordless authentication to web-based applications,” PixLab wrote in a press release.

“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 frontal smartphone camera on their favorite browser.”

The company also clarifies that FaceIO does not require biometric sensors to be available on the client side. The technology also seemingly works with websites and web-based applications regardless of the underlying front-end JavaScript framework or server-side language.

In terms of how to add the biometric solution to websites, customers will have to first create a new application via the FaceIO Console and link the resource (fio.js) to their website or web application.

As for the biometric technology itself, PixLab said FaceIO’s facial recognition engine could authenticate users in 100 milliseconds. However, customers will be offered two biometric engines upon signing up for the platform: PixLab Insight and AWS Rekognition.

“Insight is the default engine developed by PixLab exclusively for FaceIO,” PixLab wrote.

Insight is optimized for accuracy, according to the company, and real-time performance for live video feeds. It can detect and match faces even under challenging conditions where they are moving, at different angles, under tough lighting conditions, or partially obscured by face covers.

“Both engines (Insight and AWS Rekognition) are able to search and match potentially millions of faces from images or video feed at near real-time,” PixLab explained. “You can freely test the accuracy of both engines by creating a new application on the FaceIO Console.

Article Topics

 |   |   |   |   |   |   | 

Latest Biometrics News

 

Georgian nonprofit calls for investigation into use of FRT to prosecute protestors

A prominent nonprofit in the country of Georgia has called for an investigation into the use of facial recognition cameras….

 

Growth of digital wallet use shaking up payment regulations and benefits delivery

Digital wallets are transforming online, offline and cross-border payments around the world, prompting calls for regulatory change in Australis and…

 

Sardine nets $70M in Series C funding for automated fraud prevention platform

Sardine, a startup that employs machine learning for fraud prevention, compliance and credit underwriting, has announced a $70 million Series…

 

Indonesia aims to boost digital ID uptake in bid for greater efficiency

Indonesia is digitizing its civil registration services in a bid for greater efficiency as the country’s citizens enjoy improved convenience…

 

Ondato’s biometric age verification joins NIST leaderboard

Ondato has joined the U.S. National Institute of Standards and Technology evaluation of age assurance algorithms in the latest update…

 

Digital identity strengthens super wallets, transforming India’s DPI

India’s digital transformation has been accelerated by its digital public infrastructure (DPI), a framework that enables seamless digital services through…

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Most Viewed This Week

Featured Company

Biometrics Insight, Opinion

Digital ID In-Depth

Biometrics White Papers

Biometrics Events