Unmask Face Liveness Detection by Integrating Google ML Kit into your Flutter App

Video KYC is a game changer in digital onboarding. Since 2020, video-based identity verification has been effective in preventing fraud, reducing onboarding costs, and speeding up the authentication process.

A robust face liveness detection is a key part of the VKYC process. It is basically a selfie-based check that scans the user’s facial expressions and blinking gestures to differentiate a real user from a fake impersonator or a bot.

How can you Create a Robust Face Liveness Detection Application?

There are several tools and technologies available in the market, but the simplest cost-effective method involves using Flutter and Google ML Kit. Using these, you can easily create a face liveness detection application.

Wonder how?

We have our Flutter experts, Chinnadurai Viswanathan and Nandhakumar Krishnan explain how a face liveness detection application can be created using Google ML Kit.

Click here to read more!

Subscribe to our newsletter and get the latest fintech news, views, and insights, directly to your inbox.

Follow us on LinkedIn and Twitter for insightful fintech tales curated for curious minds like you.