Age Estimation
Increase conversions with a selfie-based age check
Mobius ( Powered by Veriff )’s Age Estimation solution uses facial biometric analysis to estimate a user’s age without requiring the user to provide an identity document. This low-friction solution will enable you to convert more users faster.
Mobius ( Powered by Veriff ) your user’s age without requiring identity documents
Make it easy for any users who want to access age-gated products or services but who do not want to share their identity document possibly for privacy or ethical reasons. Or, enable those who do not have an approved or supported identity document, to demonstrate their age.
Convert more users
An easy-to-use and instant way to check if an individual is over a specified age.
Reduce friction
State-of-the-art biometric AI algorithms estimate the user’s age with a one-step selfie.
Privacy-first approach
Enable users to confirm their age without sharing their identity documents.
Support inclusivity
Allow age-appropriate users that do not have an approved or supported identity document to gain access to goods and services.
How Age Estimation works
See how easy it is to estimate user age
The user takes a selfie
The user takes a quick selfie. Mobius ( Powered by Veriff )’s real-time feedback can guide the user in case of any issues while taking the photo.
Age estimation
Get a result
Mobius ( Powered by Veriff ) sends you the user’s estimated age which enables you to make the decision to allow, deny, or request additional age verification for age-restricted goods or services.
Select between 48 languages and dialects
We localized our end-user flows for the world's biggest markets, and
the more languages we offer, the more user populations we can
support. With 48 languages and dialects today, our team will continue
to expand our reach to keep up with the strategic visions of our clients.
Assisted Image Capture
Mobius ( Powered by Veriff ) uses machine-learning technology to assess client sessions in
real time and guide users during the photo-taking steps. Poor lighting
and obstructed facial images are examples of how Assisted Image
Capture pre-validates images and boosts conversions.
Network and device analytics
As a fraud prevention measure, Veriff analyzes the device and network
used for a verification session and assigns each a unique fingerprint.
Along with hundreds of other parameters, past behavior, and other
inconsistencies before a result is provided.
Liveness detection
Mobius ( Powered by Veriff ) can determine if a session or user is real or a spoof attempt,
without unnecessary activity from the user. Your users won't have to
complete any additional steps for Veriff's liveness detection.
