Project Summary

Consulted on the end-to-end automation of a biometric verification pipeline designed to detect spoofing attempts such as printed photos and screen replays, while validating live identities with high accuracy.

Technologies Used

Computer vision, deep learning models (CNNs and Transformers), liveness detection algorithms, multi-modal biometric fusion, and image quality analysis.

Industry Applied

Fintech (e.g., mobile banking KYC), telecom (eSIM activation), e-governance (digital identity), and smart access control. Also applicable to healthcare and travel sectors.

Benefits Delivered

• Prevented fraudulent account creation and identity theft
• Reliably distinguished live faces from spoofing artifacts
• Improved security for high-volume digital onboarding workflows
• Strengthened trust and compliance in finance and telecom platforms