Applying Deep Learning for Face Anti-Spoofing: InData Labs Artificial Intelligence project at Qualified.One

Applying Deep Learning for Face Anti-Spoofing by InData Labs

Some details

The Client needed help in face recognition. His business objective was to design and create a robust solution for the prevention of spoofing attacks.

InData Labs was challenged with the training of a deep learning model for face anti-spoofing. The model had to discern such types of attacks as:

  • Printed attack
  • Digital attack
  • Replay attack

We created a Proof of concept and provided

the Client with a demo to address all the challenges. 

 

Our key services

Score: 20902

About us InData Labs is a leading data science firm and AI-powered solutions provider with its own R&D center. Having a mission to bring the power of AI to every business, we help organizations of any size create intelligent products and services or shap ...

Avg project size: $31250   |   Reviews: 4   |   Portfolio: 20 works

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InData Labs Artificial Intelligence

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