Face Recognition Anti-Spoof
case study

Face Recognition Anti-Spoof

Overview

A major nordic bank wanted to take their payment technology to the next level. The partnered with Digitalist to develop the technology they needed.

Challenge

The company wanted a mobile, facial recognition-based payment system, complete with a proprietary hardware solution. Facial recognition is a powerful way to make payments secure, but isn't without its limits. We were asked to help.

Outcome

Digitalist sourced hardware components for the mobile platform, and developed a proprietary deep learning-based facial recognition anti-spoof system. Our system effectively prevents numerous types of facial recognition spoof attacks. The pilot project was a success. The platform provides a secure mobile payment solution, and reduces transaction time significantly versus other payment options.