Face Match

eMulya Fintech Pte Ltd Face Match

eMulya Fintech Pte Ltd

Face Detection and Match for KYC and Other Onboarding Processes

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. 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 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, ensures your peace of mind with safe, secure and automated digital onboarding.