Private Identity Facial Age Estimation Portal

Technical Documentation for Privacy-Centric, AI/ML-Powered Age Verification at the Edge

Introduction

The Private Identity® Facial Age Estimation Portal is a privacy-centric, AI/ML-powered certified solution designed to automate and streamline age verification processes while ensuring data security and regulatory compliance. By running advanced deep learning models entirely on users’ devices, we prevent the transfer of sensitive facial images to the Cloud—significantly reducing privacy and business risk, and exempting the solution from GDPR, CCPA, BIPA, and HIPAA privacy law obligations. Core advantages include on-device inference for minimized latency, high accuracy through rigorous model training, and on-device liveness detection to protect against spoofing attacks. This solution offers flexible deployment across mobile, desktop, embedded devices, and the cloud, making it suitable for a variety of global, high-traffic, latency-sensitive environments. Multiple integration options (REST, SDKs, and WebAssembly) allow businesses to embed age verification seamlessly into their existing infrastructures. Detailed session management, real-time callbacks, and minimal data retention ensure a fast, user-friendly experience that supports large-scale operations without sacrificing security or compliance.