Facial Recognition Buyer’s Guide and Executive Checklist
https://kioskindustry.org/facial-recognition-kiosk-hardware-a-buyers-guide/ Executive Checklist Architecture & Data Ownership ☐ Edge vs Cloud vs Hybrid clearly defined ☐ Biometric templates stored where? (device / on-prem / cloud) ☐ Data ownership contractually assigned (not vendor-controlled) ☐ Retention + deletion policies documented Regulatory & Compliance ☐ BIPA (Illinois), GDPR (EU), and regional laws evaluated ☐ Explicit consent / opt-in workflows implemented ☐ Audit trail + logging enabled ☐ Accessibility (ADA / EN 301 549 / EAA) considered Accuracy & Performance ☐ FAR (False Accept Rate) meets use case threshold ☐ FRR (False Reject Rate) acceptable for throughput ☐ Performance validated across lighting / demographics ☐ Mask / occlusion handling tested FAR (False Accept Rate): Probability that the system incorrectly matches an unauthorized person.FRR (False Reject Rate): Probability that the system rejects an authorized user. Throughput & Operations ☐ Transactions per minute benchmarked ☐ Average authentication time measured ☐ Queue impact modeled for peak usage ☐ Fallback flow defined (QR / PIN / staff assist) Security & Spoofing Protection ☐ Liveness detection (active/passive) ☐ Anti-spoofing certified (ISO/IEC 30107 or equivalent) ☐ Protection against replay / deepfake attacks ☐ Hardware root of trust (TPM 2.0 / secure enclave) ☐ Measured boot / remote attestation capability ☐ Full disk + biometric template encryption Liveness Detection: Techniques used to verify a real, live person is present (not a photo, video, or deepfake). 5A.Trusted Platform Security. ☐ TPM 2.0 or equivalent hardware root of trust present ☐ Secure boot chain enforced ☐ Remote device attestation supported ☐ Key storage isolated from OS (no software-only keys) ☐ Compliance with enterprise endpoint security policies Hardware & Environment ☐ Camera quality aligned with use case (not consumer-grade) ☐ Lighting conditions validated (indoor/outdoor) ☐ ADA height and reach compliance ☐ Environmental durability (heat, glare, vandalism) Edge AI Strategy ☐ On-device inference for latency/privacy ☐ Offline capability (network failure scenarios) ☐ AI model update strategy defined ☐ Compute platform lifecycle (5–7 years) validated Integration Stack ☐ IAM / identity platform integration ☐ POS / payments (face-pay?) integration ☐ EHR (healthcare) or enterprise backend integration ☐ API-first architecture IAM (Identity and Access Management): Enterprise system that manages user identities, authentication, and authorization. API (Application Programming Interface): Interface that allows the kiosk to integrate with backend systems such as payments, identity, or healthcare records. User Adoption & UX ☐ Enrollment friction minimized ☐ Clear user consent messaging… Read More »