OnID Biometric Palm Recognition is a contactless identity verification solution that uses palm biometrics — including vein patterns, surface ridges, and geometric measurements — to authenticate individuals without physical contact. The system uses a near-infrared light source to capture both subcutaneous vein patterns and visible surface features of the palm simultaneously. Captured data is processed by an AI-driven algorithm that generates a unique biometric signature (stored as a mathematical template, not a raw image), which is then compared against live samples during authentication. Key technical characteristics: - Dual-layer scanning combining sub-dermal vein imaging and surface palm print capture - Real-time matching with results delivered within seconds - Templates are encrypted and anonymized; reverse-engineering is not possible - Compliant with GDPR and CCPA data privacy frameworks Deployment options include on-premise and cloud-based configurations. SDKs and APIs are provided for integration into mobile applications, enterprise systems, and third-party platforms. The solution is applicable across multiple sectors: - Healthcare: patient identity verification and contactless check-in - Financial Services: fraud prevention and customer authentication - Enterprise Security: access control and workforce management - Education & Government: attendance management and facility security - Retail & Hospitality: contactless check-in and secure payments