GaitAI · Application environment

Defence & Armed Forces

Facility safety and authorised access for installations with a duty of care.

For defence organisations, GaitAI configures SecureVision for the installation around DefenceMotion — the module built for defence environments, in Army, Navy and Air Force modes. Alongside it, SuspiciousMotion surfaces restricted-zone entry and perimeter events for operator review, AccessMotion adds a gait-consistency signal beside existing credentials at authorised access points, and PrivacyGuard governs retention, roles and audit across the same camera estate — identity not required by default.

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01

The operational problem

Defence and military organisations need facility-safety and access intelligence for personnel across very different installations — without identity-first monitoring of the people they have a duty of care to.

02

Why current workflows fall short

Safety events on large installations are found after the fact and access relies on credentials alone — while the people being observed are owed a duty of care that identity-first monitoring does not respect.

03

Recommended GaitAI product mix

View product: GaitAI DefenceMotion
GaitAI DefenceMotion
GaitAI · DefenceMotion

Movement intelligence for defence environments.

Facility-safety and authorised-access movement intelligence configured for defence installations, in Army, Navy and Air Force modes. Human-supervised throughout: an indicator supplements existing procedure and never acts on its own.

View product: GaitAI SuspiciousMotion
GaitAI SuspiciousMotion
GaitAI · SuspiciousMotion

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.

View product: GaitAI AccessMotion
GaitAI AccessMotion
GaitAI · AccessMotion

A passive second factor — your walk.

Contributes a passive gait-consistency signal alongside card, face or mobile authentication in high-security spaces. It supports an existing credential rather than replacing it.

View product: GaitAI PrivacyGuard
GaitAI PrivacyGuard
GaitAI · PrivacyGuard

Movement intelligence — with task-relevant movement representations.

The architectural privacy layer for GaitAI: designed to support skeleton-only analytics, face blur, role-based access, configurable retention and audit logs in privacy-sensitive environments.

04

Example workflow

  1. 01DefenceMotion is configured in the mode that matches the installation — Army, Navy or Air Force
  2. 02The installation's zones, perimeters and access points are configured under the programme owner's policy
  3. 03Facility movement events surface on the operator timeline
  4. 04Controlled entries receive a gait-consistency indicator beside existing credentials, for enrolled personnel only
  5. 05Safety and access teams review and decide under service procedures; PrivacyGuard records the audit trail
05

Expected operational outputs

Facility movement-event alerts, access consistency indicators and a privacy and audit record across defence installations.

06

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. Defence and armed-forces deployments require an authorized programme owner, consent for enrolled personnel, purpose-limited retention, audit and qualified human review. It is not for autonomous targeting or lethal decisions, or for automated fitness-for-duty, disciplinary, promotion or personnel decisions. Any separately governed personnel process must establish its own legal basis, evidence and human decision-making.

GaitAI · Defence & Armed Forces

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