Authentication
Machine learning-powered facial biometrics can enable online user identity verification. Amazon
Rekognition offers pretrained facial recognition and analysis capabilities that you can simply add to
your user onboarding and authentication workflows to verify opted-in user identity online. No machine
learning expertise is required.
With Amazon Rekognition, you can onboard and authenticate thousands of users in seconds while
deterring fraud actors or duplicate accounts. As a result, you can grow users faster, reduce fraud, and lower
user verification costs.
Aella Credit leverages computer vision for identity verification
Aella Credit provides instant loans to individuals with a verifiable source of income in emerging markets
using biometric, employer, and mobile phone data.
"Identity verification and validation have been a major challenge in emerging markets. The ability
to properly identify users is a key hindrance in building credit for billions of people in emerging
markets. Using Amazon Rekognition for identity verification on our mobile application has reduced
verification errors significantly and given us the ability to scale. We can now detect and verify an
individual's identity in real time without any human intervention, thereby allowing faster access to
our products. We tried various well-advertised solutions, but none of the popular alternatives could
accurately map out various skin tones. Amazon Rekognition helped us effectively recognize faces
of our customers in our markets. It also helped us with KYC in discovering overlapping profiles
and duplicate datasets."
– Wale Akanbi, Co-Founder and CTO, Aella Credit
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