Access Control for Hospitals & Healthcare

Palm vein captures a subsurface vein pattern using near-infrared light—not a facial image. No face data is stored on any device or server. This protects patient privacy by design: staff and visitors are authenticated without any facial image collection. Face recognition, by contrast, stores facial templates and creates privacy concerns in healthcare environments regulated by HIPAA or GDPR.

EASCO palm vein recognition delivers 99.98% accuracy—the same accuracy level as iris recognition, the highest in commercial biometrics. False acceptance rate is less than 0.0001%, meaning approximately 1 in 1,000,000 chance of an impostor being accepted. Liveness detection is financial-grade, rejecting any attempt at spoofing.

Yes. Enrollment can include role-based access rules tied to job title, department, and shift. A surgery nurse's palm pattern matches only their assigned departments and their scheduled shift hours—they cannot access the pediatric ward or work outside scheduled hours regardless of their biometric match. Rules are enforced by the system, not by manual oversight.

Contactless. The device reads the vein pattern from 140–400mm away (distance varies by hand size and environment). No touching required—reduces disease transmission risk and is faster for busy hospital settings.

Emergency override is always available via physical key or emergency authorization code (reviewed by security log later). The system never locks out legitimate staff from life-critical areas. Standard practice is to enroll staff at orientation, but real-world overrides are supported for situations where enrollment has not yet occurred.