World's First Gait-Based Identity Platform

Identity Verified
By How You Walk.
Not Your Face.

WalkPassAI™ identifies and authenticates individuals using their unique walking pattern — gait recognition. Zero facial data. Full privacy compliance. Enterprise-grade precision.

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97.4%
Identity Accuracy
<80ms
Recognition Latency
15+
Enterprise Integrations
0
Facial Images Stored
IDENTITY MATCH
97.4%
Gait Confidence · Verified
WalkPassAI live recognition dashboard showing multiple camera feeds with gait tracking
LIVE · 4 CAMERAS · 2 PEOPLE TRACKED
Gait Embedding
512-dim Vector · Stored
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`).join('')}
⚠ Our Core Principle

We never capture, store, or process a single facial image.
Identity is your walk.

In a world where facial recognition is banned in cities, challenged by regulators, and distrusted by the public — WalkPassAI delivers enterprise-grade identity verification that is inherently privacy-compliant.

✗ No Facial Images
✗ No Biometric Photos
✗ No GDPR Article 9 Risk
✓ Gait Embeddings Only
✓ GDPR Compliant
✓ Works Through Masks, Hats, Darkness
Why WalkPassAI™

The industry needed
a privacy-first alternative.

Traditional biometric access control relies on technology that faces mounting legal, ethical, and operational challenges. WalkPassAI is built from the ground up on a fundamentally different principle.

⚠ Legacy Approach

Facial Recognition Systems

  • ✗ Captures and stores identifiable facial images
  • ✗ Banned in San Francisco, Boston, EU member states
  • ✗ Fails with masks, hats, low lighting, aging
  • ✗ Requires front-facing enrollment photos
  • ✗ GDPR Article 9 — special category data risk
  • ✗ Racial and gender bias documented in academic studies
  • ✗ Requires person to stop and face camera
  • ✗ Single point: easy to defeat with a photo
✦ WalkPassAI Approach

Gait Recognition System

  • ✓ Stores only a 512-dimensional mathematical embedding
  • ✓ Legally compliant across all major jurisdictions
  • ✓ Works in any lighting, with any clothing, any angle
  • ✓ Enrolls via natural walking — no camera posing needed
  • ✓ No special-category biometric data stored
  • ✓ Body-shape and movement patterns are culturally neutral
  • ✓ Identifies people at distance, in motion, passively
  • ✓ Impossible to spoof with a photo or video replay
AI Pipeline

7-Stage Gait Intelligence Engine

Raw RTSP video frames flow through seven independent AI microservices — each purpose-built, independently scalable, and communicating via REST and WebSocket.

📷
RTSP
Camera
→
🎯
YOLO
Detection
→
🦴
Pose
Estimation
→
👣
Skeleton
Tracking
→
🧬
Gait
Embedding
→
🔍
Vector
Search
→
⚡
Access
Decision
Vision MCP
Pose MCP
Gait MCP
Decision MCP
AI Models: ${["YOLOv8n", "MediaPipe", "RTMPose", "OpenGait", "PyTorch 2.0", "ONNX Runtime", "TensorRT"].map(m => `${m}` ).join('')}
Platform Features

Everything enterprise
security demands.

🚶

Passive Gait Recognition

Identifies individuals from standard CCTV footage as they walk naturally. No stopping, no posing, no interaction required. Works at 2–8 metres.

📡

Multi-Camera Real-Time

Simultaneously tracks and identifies multiple people across unlimited camera feeds. Person re-identification across non-overlapping zones.

⚡

Sub-80ms Decisions

Full pipeline from frame capture to door unlock in under 80 milliseconds. Hardware-accelerated ONNX inference with TensorRT optimization.

🧠

Explainable AI Decisions

Every access decision includes full reasoning: confidence score, risk factors, policy applied, evidence chain, and a 5-phase audit trail.

🛡️

Behavioral Threat Detection

ScenarioIQ detects tailgating, piggybacking, suspicious loitering, repeated failed attempts, unusual entry/exit times, and watchlist matches.

🌐

Cortex Central Intelligence

AI brain that predicts threat levels, generates executive briefings, launches automated investigations, and forecasts access traffic peaks.

🏗️

Cloud-Native MCP Architecture

8 Microservice Control Plane (MCP) servers, each independently deployable via Docker/Kubernetes with full health, metrics, and autoscaling.

🔌

15-System Integration Hub

Native adapters for Honeywell, Genetec, LenelS2, HID, Suprema, ZKTeco, Axis, Hikvision, Dahua, ONVIF, MQTT, BACnet, OPC-UA and Webhooks.

📋

Privacy-by-Design

Only 512-dimensional mathematical vectors are stored — never images, never faces, never video. Fully compliant with GDPR, CCPA, and PDPA frameworks.

Platform Modules

Six intelligent
AI modules.

🎥

Enrollment Studio

Guided operator workflow to capture 15–20 seconds of natural walking. Auto quality-scoring, multi-sample averaging, approval workflow, and embedding versioning.

Quality Score
Multi-Sample
Approval Flow
📺

Live Recognition

Real-time multi-camera CCTV dashboard with live confidence updates, person tracking, VIP and watchlist alerts, and tailgating detection overlays.

Multi-Camera
VIP Detection
Watchlist
⚖️

DecisionIQ™

Explainable AI decision engine. Every grant or deny includes a full evidence chain, risk score, applied policy, contributing factors, and decision timeline.

Explainable AI
Policy Engine
Risk Scoring
🔭

ScenarioIQ™

Continuous behavioural monitoring across 9 threat scenarios. Predictive alerts, auto-recommendations, and a real-time security timeline visualization.

9 Detectors
Predictive Alerts
Timeline
🧠

Cortex™ AI Brain

Central intelligence layer that synthesizes data from all modules. Generates threat predictions, automated investigations, executive summaries, and strategic recommendations.

EMA Predictions
Auto-Investigate
Exec Briefings
🔌

Integration Hub

Native adapters for 15 enterprise systems. Normalized event layer translates all external protocols into WalkPassAI's unified event format with full audit trail.

15 Systems
NormalizedEvent
Audit Trail
Enterprise Ready

Connects to your existing infrastructure.

No rip-and-replace. WalkPassAI integrates natively with the systems you already have.

Access Control Systems

${["Honeywell Pro-Watch","Genetec Security Center","LenelS2 OnGuard","HID Global","Suprema BioStar 2","ZKTeco ZKAccess"].map(s => `` ).join('')}

Camera Platforms

${["Axis VAPIX","Hikvision ISAPI","Dahua HTTP","ONVIF Profile S/T/G"].map(s => `` ).join('')}

Protocols & Transports

${["MQTT 5.0","BACnet/IP (ASHRAE 135)","OPC-UA (IEC 62541)","REST (Generic)","Webhooks (HMAC-SHA256)"].map(s => `` ).join('')}
Technology Stack

Built on proven,
enterprise-grade technology.

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Ready to replace
faces with footsteps?

Schedule a live demonstration with our team. We'll walk you through a full recognition session, integration with your existing ACS, and a deployment roadmap tailored to your site.

Request Live Demo Download Data Sheet
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