Factories & warehouses
Worker safety events, seen as they happen.
For industrial environments, GaitAI can run IndustrialSafety worker-safety monitoring — falls, slips, restricted zones, evacuation flow — with SuspiciousMotion covering site-security movement events.
The operational problem
Worker falls and unsafe-zone entries can be difficult to spot in time.
Why current workflows fall short
Falls and unsafe-zone entries in large facilities often go unnoticed until harm is done; safety reviews happen after incidents instead of during them.
Recommended GaitAI product mix
Worker movement safety — measured, monitored, flagged.
Flags movement patterns associated with falls, slips, restricted-zone entry, fatigue-like movement and emergency movement events across industrial sites.
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 mapped to the site safety plan
- 02Worker movement monitored across shifts
- 03Fall/slip and zone events alert the safety team
- 04Evacuation mode summarises drills and emergencies
- 05EHS reviews zone-level trends for prevention
Expected operational outputs
Worker fall/slip events, restricted zones, evacuation status and movement-safety analytics.
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.