Airports, metro & rail
Flow, safety and investigation — without identity-first surveillance.
For transport-hub environments, GaitAI can combine CrowdSense passenger-flow analytics, SuspiciousMotion movement-event detection and — under authorization — ReID for cross-camera investigation support.
The operational problem
Crowded transport hubs need anomaly + flow intelligence — without requiring identity matching for flow analysis.
Why current workflows fall short
Manual monitoring can't track flow and movement events across hundreds of cameras, and post-incident review means scrubbing hours of footage by hand.
Recommended GaitAI product mix
See crowd flow, bottlenecks and density-risk indicators.
Analyzes crowd movement, density, queues, bottlenecks, flow direction and abnormal crowd-motion indicators for smart-city scale public spaces.
Cross-camera movement correspondence, by gait.
Produces confidence-based candidate matches across multiple camera feeds using movement and body-level signatures rather than face-only matching. Candidates are for trained review — never proof of identity.
Anomalies surfaced — without identity matching as a prerequisite.
Surfaces candidate movement events — loitering, running, restricted-zone entry, tailgating-like patterns and perimeter events — for operator review, without requiring identity recognition.
Example workflow
- 01Zones and flows configured across the hub
- 02Continuous density and queue analytics reach the control room
- 03Movement events alert operators in the moment
- 04Incidents escalate through hub procedures
- 05Authorized investigations use indexed movement evidence
Expected operational outputs
Passenger flow, movement-event alerts and authorized cross-camera investigation support.
Privacy & responsible use
Designed to support consent-based capture, encrypted transfer, configurable retention and role-based access, with activity logging and skeleton-only processing modes. Deployment requirements depend on the applicable environment, organization and jurisdiction. Privacy-aware architecture does not automatically mean anonymity: pose, gait and trajectories may still carry identifying information. Movement analytics are designed to run without identifying individuals unless a deployment lawfully and explicitly requires it, and identity-related capabilities are intended only for lawful, authorized deployments with appropriate governance, access control and auditability. Outputs are decision support for trained operators — not autonomous enforcement.