How does
Trust Stamp
Use AI?
Detects Deepfakes and reduces fraud for verified customers.
Project Overview
Trust Stamp uses computer vision to detect computer generated images and videos during digital identity verification, blocking synthetic attempts.
Layman's Explanation
Instead of relying on passwords or easily faked photos, this system scans your face using AI to verify you're really you, and smartly checks that it’s not just someone holding up your picture. It keeps your data safer by turning your face into a coded identity rather than storing the raw image.
Details
Trust Stamp built a biometric authentication system that uses AI-driven facial recognition along with anti-spoofing techniques to ensure secure identity verification. The system analyzes facial features to create a unique, tokenized identity that helps financial institutions verify users without storing sensitive biometric data directly. This minimizes fraud risk and accelerates user onboarding processes in sectors with high compliance demands like banking and fintech.
Analogy
It’s like a nightclub bouncer who not only checks your face but also makes sure you’re not just flashing someone else’s ID, except it's all done by AI, in milliseconds.
Machine Learning Techniques Used
More Use Cases in
Technology
Novelty Justification
AI-driven, privacy-preserving biometric verification is advanced, meeting strict compliance needs.
Project Estimates
