VeriOne
Fully automated biometric identity verification system
Flutter, Machine Learning
Challenge
The technology behind VeriOne is meant to shorten the customer onboarding process through a biometric identity check. Our team had to design a robust and easy to use biometric solution based on machine learning algorithms, seamlessly implement the software on the client's device.
Solution
By focusing on the priorities and implementing an agile approach, we were able to build VeriOne mobile app in only 2 months.
Michał Frankiewicz
Founder at VeriOne
I am pleased to give references for NextApps Sp. z o.o. for a professional approach and an effectively prepared biometric verification tool as well as the design of architecture of software enabling flexible module management at Hyber self-service kiosk and system VeriOne for Real-time identity verification. Such a service was well-prepared, engaged all staff and had perfect technical support.
Summary
VeriOne uses a whole set of biometric tools Thanks to leveraging machine learning, we were able to implement facial recognition mechanisms. The application compares a face from a picture with a picture of an ID card. Liveness detection - the app can identify whether the user is actually alive. This way, it helps avoid fraud.
Python’s ability to leverage machine learning is a great companion for React Native mobile development.
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