Technologies

Presentation Attack Detection (PAD)

Iris ID integrates AI and Machine Learning across the entire biometric lifecycle — data acquisition, feature extraction, template generation and matching, and presentation attack detection (PAD).

End-to-End Intelligence

AI and machine learning are embedded at every stage of the Iris ID biometric pipeline, improving accuracy, speed and resistance to attack.

AI-Enhanced Data Acquisition — intelligent capture that optimizes image quality in real time across lighting conditions, distances and subjects.
High-Precision Feature Extraction and Matching — deep-learning models extract discriminating iris features and generate templates that match with exceptional accuracy at population scale.
AI-Powered Presentation Attack Detection (PAD) — detection of cosmetic and patterned contact lenses, Iris PAD, and Face PAD including 3D mask attacks.

Defending Against AI-Generated Threats

As generative AI advances, so do the threats: deepfakes, synthetic biometric data, and novel spoofing techniques. Iris ID maintains an active research and development program focused on emerging attack vectors, continuously training and updating detection models so that authentication remains trustworthy against the next generation of AI-generated attacks.

Ready to talk about your program?

Talk to our solutions team about integration, pilot programs, and volume pricing.