Face Liveness Detection
Check if the selfie your users take is indeed live, optimally clicked to save in your records, if there are multiple faces detected in the image, and what percentage of the image does the face actually cover.
Face liveness detection helps you uncover frauds by ensuring that the image you have been provided isn’t a picture of a picture, a passport sized image, or an image of another individual on a cell phone / laptop screen.
Pair it to the Face Compare API to have complete confidence that the selfie of the individual is indeed live, and belongs to the same individual as you expect.
Completely remove the need to manually validate if images are live
Tackle fraud at source
Eliminate fraudulent individuals during the onboarding proces
Eliminate manual error
Allow an intelligent machine based algorithm do the work for you!
Unlocking value for global leaders
How it works
Provide a selfie as input, and we’ll analyse the following data points for you.
Is the face live? Is the face cropped?
Are there multiple faces detected?
Is the image optimally lit?
Is the face too close/far from camera?
Co-ordinates of where the face is captured
IDfy’s liveness models are extremely accurate
Verification only requires one input - the selfie
TAT of the API is very low, enabling real time authentication
API structure is straightforward, enabling super quick integrations
A one-time, trouble-free integration
Our industry-leading API easily gets integrated with your existing workflows and processes.
What our clients say
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