BioChQ ABIS

BioChQ’s ABIS solution for Face and Iris modalities is a scalable, multi-modal biometric platform designed for high-accuracy identity verification and large-scale de-duplication. The face recognition module leverages advanced deep learning algorithms to enable fast, contactless identification under varying conditions, including lighting, pose, and aging, making it ideal for eKYC, surveillance, and user-friendly authentication workflows.
The iris recognition module provides extremely high accuracy and stability, using unique iris texture patterns to ensure reliable identification even in challenging environments. It is particularly suited for high-security use cases such as national ID systems and border control.
By combining face and iris modalities, BioChQ enables multi-modal fusion, significantly improving matching accuracy while reducing false positives and negatives. The system supports flexible matching strategies (face-only, iris-only, or combined), ensuring adaptability across use cases.
Built on a distributed, API-driven architecture, BioChQ ABIS ensures high performance, scalability, and secure template-based storage, making it suitable for deployments ranging from enterprise to national-scale identity systems.