OnID Biometric Iris Recognition is an iris-based biometric identity verification system that captures and analyzes the unique patterns of the human iris to authenticate or identify individuals. The system uses near-infrared imaging to capture high-resolution iris images, which are then converted into encrypted digital templates stored for comparison during authentication. The system supports two authentication modes: - One-to-one (1:1) verification for user login scenarios - One-to-many (1:N) identification for population-scale programs Deployment options include on-premises and cloud-based configurations. Integration with existing infrastructure is supported via APIs and SDKs. The system is designed for both small-scale and enterprise-level deployments, handling matching across millions of records. The solution is applicable across multiple sectors including government and border control, healthcare, financial services, corporate security, and education. It can function as a standalone system or as part of a multi-modal biometric setup alongside other biometric modalities. Data protection is handled through encryption and anonymization of biometric templates, with compliance adherence to GDPR and CCPA. The system follows a privacy-by-design approach, ensuring user consent and transparency throughout data processing.