GaitAI CrowdSense
See crowd flow, bottlenecks and movement risk live.
CrowdSense converts movement trajectories into aggregate flow, density, queue and bottleneck intelligence for operators of busy public and commercial spaces.
Problem
Operators need to understand how crowds are moving before density or flow problems become safety incidents.
What GaitAI does
Aggregate — never individual-focused — analytics turn trajectories into heatmaps, density scores, queue lengths, flow directions and bottleneck alerts on a continuously updating operations dashboard.
Who uses it
- Smart-city control rooms
- Stadiums and event venues
- Airports and metro stations
- Malls and large retail
- Universities
What they receive
Example report values — illustrative, not measured performance claims.
Outputs describe crowd state — where density is building, where flow is stalling — so operational decisions (opening gates, redirecting queues) are grounded in current movement rather than guesswork.
Why it matters
Crowd problems build over minutes; an operator who can see density and flow trending toward risk can intervene before a bottleneck becomes an incident.
Example workflow
- 01Cameras cover key zones and corridors
- 02Trajectories aggregate into flow and density measures
- 03Dashboard shows zone-level state and trends
- 04Threshold alerts flag emerging bottlenecks
- 05Operations team redirects flow or opens capacity
Deployment
- Zone-level configuration per venue
- Live operations dashboard
- Aggregate-only analytics by default
- EventShield extends this for high-density events
Evidence status
GaitAI Evidence Index
2 categories documented
What is documented for this module, and what is not. Research foundation is not product validation — the two are listed separately on purpose.
- Research foundationNot yet published
- No published record in this library directly addresses a capability this module is built on.
View evidence for Research foundation
Claim / capability: No published record in this library directly addresses a capability this module is built on.
Status: Not yet published
Applicability: The cited work is specifically about a method or movement signal this module draws on.
Limitation: Research relevance is not evidence that this product's outputs have been validated.
No supporting source is published for this status.
Inventory reviewed .
- Architectural research relationshipNot yet published
- No further shared-platform research relationship is recorded beyond the research foundation above.
View evidence for Architectural research relationship
Claim / capability: No further shared-platform research relationship is recorded beyond the research foundation above.
Status: Not yet published
Applicability: Shared capabilities such as pose estimation or temporal modelling are used by many modules.
Limitation: A shared-platform relationship is the weakest research link and must not be read as validating this module.
No supporting source is published for this status.
Inventory reviewed .
- Product specificationAvailable
- The module has a documented specification: inputs, pipeline, outputs and stated limitations.
View evidence for Product specification
Claim / capability: The module has a documented specification: inputs, pipeline, outputs and stated limitations.
Status: Available
Applicability: Documented inputs, intended workflow and output design.
Limitation: Documentation does not establish a released implementation or deployment readiness.
- specificationProduct documentation
Inventory reviewed .
- Product implementation evidenceNot yet published
- No module-specific release or deployment record is published here.
View evidence for Product implementation evidence
Claim / capability: No module-specific release or deployment record is published here.
Status: Not yet published
Applicability: Production implementation is distinct from this website's interactive prototypes.
Limitation: The browser pose explorer is not the full clinical or operational product pipeline.
- Context · not validation evidenceProduct and deployment context
Inventory reviewed .
- Interactive demoAvailable
- A sample output is available to explore. Illustrative demo — example values, not a measured result.
View evidence for Interactive demo
Claim / capability: A sample output is available to explore. Illustrative demo — example values, not a measured result.
Status: Available
Applicability: An interactive explanation of the intended output and workflow.
Limitation: Sample outputs contain illustrative values and are not measurements of a visitor or product performance.
- prototypeExplore illustrative output
Inventory reviewed .
- Benchmark validationNot yet published
- Validation pending publication. No product benchmark numbers are supplied.
View evidence for Benchmark validation
Claim / capability: Validation pending publication. No product benchmark numbers are supplied.
Status: Not yet published
Applicability: A benchmark needs a defined dataset, sample count, environment, hardware and evaluation method.
Limitation: Accuracy, sensitivity, specificity, latency and FPS cannot be inferred from a demonstration.
- Context · not validation evidenceResearch evidence inventory
Inventory reviewed .
- Product-specific validationNot yet published
- No study in the published record evaluates this module's output for a particular intended use.
View evidence for Product-specific validation
Claim / capability: No study in the published record evaluates this module's output for a particular intended use.
Status: Not yet published
Applicability: Validation must match the module, population and intended decision.
Limitation: A product description or related research paper does not establish validated performance.
- Context · not validation evidencePublished evidence inventory
Inventory reviewed .
- Pilot & deployment evidenceNot yet published
- No named pilot, deployment result or customer outcome is documented.
View evidence for Pilot & deployment evidence
Claim / capability: No named pilot, deployment result or customer outcome is documented.
Status: Not yet published
Applicability: Pilot and deployment evidence is assessed separately from research.
Limitation: Use-case journeys describe intended workflows, not customer results.
- Context · not validation evidenceTrust Center
Inventory reviewed .
- Product-specific clinical validationNot yet published
- No product-specific clinical validation study is published in this library.
View evidence for Product-specific clinical validation
Claim / capability: No product-specific clinical validation study is published in this library.
Status: Not yet published
Applicability: Clinical applicability depends on the intended use; safety modules are not presented as clinical tools.
Limitation: No output replaces clinician judgement or establishes a diagnosis.
- Context · not validation evidenceResponsible use and intended context
Inventory reviewed .
- Regulatory clearanceNot claimed
- No medical-device clearance, regulatory approval or compliance status is claimed.
View evidence for Regulatory clearance
Claim / capability: No medical-device clearance, regulatory approval or compliance status is claimed.
Status: Not claimed
Applicability: Regulatory applicability depends on the intended use and deployment jurisdiction.
Limitation: Research publications, patents and prototypes are not regulatory clearances.
- Context · not validation evidenceWhat GaitAI does not claim
Inventory reviewed .
Inventory reviewed How GaitAI states evidence →
Sample output
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.
Context & limitations
- Aggregate analytics — not designed to follow individuals
- Estimates degrade with poor coverage or extreme occlusion
- Operational response remains with the venue team
Related SecureVision products
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Read one person's movement, or the movement of a crowd? Compare CrowdSense and SuspiciousMotion