Banks, NBFCs, Insurers and other financial institutions; hotels, e-Commerce ventures, mobile companies and many others have to use face match feature as part of their onboarding process.

In addition to being able to match faces across various documents and files, our model is also able to detect and identify faces from documents like identity cards, so that the face parameters are matched across varying datasets.

IN-D.ai uses artificial intelligence-based models combined with computer vision principles to generate confidence scores (match percentages) of facial images.

IN-D Face Match can also be used for tokenizing facial images and matching them with live selfies for payment processing. Our facial detection and matching solution is also available well as part of a Digital Onboarding or eKYC (Video) solution.

Thus, with IN-D Face Match, you can:

Match face capture against the ID card photograph
Cross validation of photograph across the ID documents
Set face match confidence score threshold for manual validation
Advanced face structure analysis to adjust age differences and different lighting conditions

IN-D Face Match solution comes from IN-D.ai which is a leading provider of artificial intelligence based Document-to-Data solution covering areas like Video KYC, digital identity verification, audits, income analysis etc.

As a ISO 27001:2013 certified organization for information security that works with global financial institutions, IN-D.ai ensures your peace of mind with safe, secure and automated digital onboarding.

IN-D.ai Face Match

by eMulya Fintech Pte Ltd