BIOMETRIC INFRASTRUCTURE

Built around the palm.

PalmPass leverages multi-region palm geometry and subdermal characteristics to build an unforgeable, contactless identity verification layer.

Explore PipelineValidation Data
BIOMETRIC PIPELINE

From raw palm capture to cryptographically signed verification

A multi-stage deep-tech pipeline designed for high accuracy, active liveness enforcement, and privacy-first vector storage.

STAGE 01

Palm Capture

Zero-touch acquisition of palm surface and geometry within the capture zone.

Non-contact optical acquisition under controlled or ambient illumination
Automatic hand orientation normalization and bounding box calibration
Distance and tilt angle estimation to ensure optimal capture geometry
STAGE 02

Multi-Region Extraction

Simultaneous spatial segmentation across three distinct palm landmark regions.

Region 1: Thenar eminence and base line structures
Region 2: Central palm furrow geometry and ridge pattern flows
Region 3: Hypothenar margin and interdigital junction points
STAGE 03

Liveness Detection

Anti-spoofing algorithms to reject non-living materials, photos, and digital displays.

Texture reflection analysis and high-frequency noise variance inspection
Dynamic micro-motion and physiological response checks
Deep learning presentation attack detection (PAD) trained against synthetic hands
STAGE 04

Biometric Processing & Vectorization

Transform raw signals into irreversible, non-reconstructable mathematical vectors.

Irreversible mathematical embeddings generated in secure memory
Original imagery wiped immediately following vector synthesis
Vector encryption using industry-standard authenticated encryption (AES-256-GCM)
STAGE 05

Identity Matching

Sub-second similarity matching against encrypted template stores.

High-dimensional vector distance calculations with calibrated matching thresholds
1:1 verification and 1:N identification modes depending on deployment scope
Execution time under 150ms on standard cloud and edge inference runtimes
STAGE 06

Authentication Result & Token Issuance

Issuance of a short-lived cryptographic token to downstream systems.

Ephemeral JWT / PASETO token signed by PalmPass hardware security module
Audit event logging with tamper-evident cryptographic hash chaining
Deterministic webhook notification dispatch to client backend systems
HONEST ENGINEERING OVERVIEW

Current MVP vs Production Engineering Direction

We believe deep-tech credibility comes from radical transparency. Here is what we have built today and what is currently in production engineering.

CURRENT WORKING PROTOTYPE

Software Prototype & Demonstrator

  • Standard high-resolution mobile camera capture
  • Functional two-device demonstration workflow (Scanner + Authenticator)
  • Working vector extraction, liveness heuristics, and matching engine
  • Tested internally across controlled sample sets
PRODUCTION DIRECTION

Dedicated Hardware & Scaled Architecture

  • Custom optical capture module with dedicated multi-spectral illumination
  • Constrained capture geometry ensuring sub-100ms scan consistency
  • Hardware security module (HSM) with on-device cryptographic key storage
  • Independent third-party biometric and security certification
  • Distributed global API cluster with sub-50ms regional latency
MVP & VALIDATION

Built. Tested. Moving forward.

From foundational research to a working software MVP — evaluated through rigorous internal self-testing across real-world scan sessions.

~2,000
Scans Completed
Internal test sessions conducted across varied lighting and angles
10
Participants
Initial test cohort evaluating repeatable capture consistency
0
False Accepts Observed
Zero unauthorized matches recorded during internal test dataset execution
~1%
Retry Rate
Scans requiring re-positioning during unguided capture trials
Important Note: The metrics above represent internal self-testing data gathered on our prototype software and do NOT constitute formal third-party benchmark certification. Independent third-party accuracy and liveness validation is scheduled as part of Stage 03 of our development roadmap.
DEVELOPMENT ROADMAP

The pathway from prototype to institutional scale

A transparent engineering timeline from initial proof-of-concept to institutional scale.

01•

Working Software Prototype

COMPLETED

Two-device demonstration architecture running proprietary vector extraction and liveness algorithms.

Key Milestones & Deliverables
Multi-region palm biometric pipeline
Working Android prototype demonstration
Internal validation on ~2,000 sample scans
Core RESTful API structure
02•

Dedicated Hardware & Production Infrastructure

IN PROGRESS

Engineering dedicated optical scanning hardware modules and hardened cloud infrastructure.

Key Milestones & Deliverables
Custom optical scanner housing with controlled lighting
Embedded firmware for edge vectorization
Hardened cloud API with enterprise rate limiting
Integrations for enterprise IAM (Okta, Azure AD)
03•

Third-Party Biometric & Security Validation

ROADMAP

Third-party laboratory evaluation of biometric accuracy, False Acceptance Rates (FAR), False Rejection Rates (FRR), and Presentation Attack Detection (PAD).

Key Milestones & Deliverables
ISO/IEC 30107 Presentation Attack Detection benchmarking
Standardized FAR / FRR accuracy evaluations
SOC 2 Type II audit readiness
Penetration testing & vulnerability audits
04•

Controlled Deployment With Selected Organizations

ROADMAP

On-site trials with early-access academic universities and enterprise campus partners.

Key Milestones & Deliverables
University campus turnstile and exam hall pilots
Enterprise workforce attendance deployments
Real-world throughput and reliability monitoring
Partner feedback iteration cycles
05•

Enterprise Deployment & Ecosystem Integration

ROADMAP

General availability, large-scale institutional rollout, and developer ecosystem expansion.

Key Milestones & Deliverables
Global cloud & edge infrastructure availability
Public developer platform and plugin marketplace
Hardware manufacturing partnerships
Institutional multi-tenant management suite

Explore how our biometric pipeline fits into your architecture.

Connect with our engineering team or explore an early access pilot evaluation for your organization.

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