Ayonix Video Analytics

Industry

Video analytics for healthcare estates and public areas

In short

Healthcare video analytics measures waiting-area occupancy, entrance footfall, car park availability and restricted-area access across a hospital estate. Clinical and patient-care areas are excluded by design; the value lies in public areas, estates and site security where privacy exposure is manageable.

Older adult walking safely with a caregiver in a camera-monitored care corridor
Conceptual illustration of a monitored care corridor. AI-generated conceptual image, not a customer deployment.

The problem

What healthcare teams are dealing with

  • Outpatient waiting areas overflow and nobody knows until patients are standing.
  • Car parks fill before the morning clinic starts and patients arrive late having circled for twenty minutes.
  • Plant rooms, drug stores and records areas are accessed outside permit windows without a timely record.
  • Estates teams cannot evidence how public spaces are actually used when planning a reconfiguration.
  • Any camera analytics proposal in a hospital attracts immediate and justified information-governance scrutiny.

Camera placement

Where cameras need to be, and why

Camera position decides more of the outcome than any software setting. These are the placements that matter in this sector.

Recommended camera placement forHealthcare
Location Purpose What matters
Main entrances Directional footfall Overhead placement at the threshold; entrance counting is low-sensitivity and high-value.
Outpatient waiting areas Zone occupancy Elevated views over the waiting zone only, framed to exclude consultation room doors where practical.
Car parks Area occupancy Height determines whether rear rows can be reported at all.
Plant rooms and secure stores Out-of-permit presence Schedule-aware rules aligned to maintenance and pharmacy access windows.
Site perimeter where applicable Intrusion detection Normally limited to estates boundaries rather than clinical buildings.

Workflow

From event to acknowledged action

Event workflow

  1. 1 Public-area and estates cameras are ingested; clinical and patient-care areas are excluded by design.
  2. 2 People and vehicles are detected and tracked in the permitted zones only.
  3. 3 Counting, occupancy and schedule-aware access rules are evaluated.
  4. 4 Occupancy series publish to estates and operational dashboards.
  5. 5 Restricted-area events route to site security with evidence.
  6. 6 All access to event evidence is role-restricted and audit-logged.

Operator workflow

  1. 1 Outpatient coordinator sees waiting-area occupancy approaching capacity and opens an overflow area.
  2. 2 Car park occupancy is published to entrance signage and the patient app.
  3. 3 Site security receives an out-of-permit store access event with a clip.
  4. 4 Estates uses public-area utilisation data in reconfiguration planning.
  5. 5 Information governance reviews access logs on the agreed cycle.

Operations

Dashboards, integration and deployment

Dashboard metrics

  • Waiting-area occupancy against capacity by clinic session
  • Entrance footfall by interval
  • Car park occupancy by area and time
  • Out-of-permit access events by location
  • Evidence access audit completeness
  • Camera availability

Integration options

  • REST and webhook delivery into estates and patient-flow systems
  • Car park signage and patient app integration
  • VMS alarm delivery for site security events
  • ONVIF and RTSP ingestion from the estate camera network
Compatibility states →

Deployment options

  • On-premise processing inside the trust or hospital network, which is the normal requirement
  • Edge processing for remote estates buildings
  • Air-gapped deployment where the clinical network is isolated
  • Multi-site management across a hospital group
Compare architectures →

Evidence

Deployment pattern

Estate public-area pattern

Car park occupancy and entrance counting first, waiting-area occupancy where governance permits, and schedule-aware access rules on estates infrastructure.

All measurement is validated on your own site. No figures from other trusts or hospitals are published.

This is an anonymised pattern describing how a deployment of this kind is structured. It is not a named customer reference. No customer names, logos, testimonials or measured results are published on this site, because none have been supplied for publication. More on how evidence is handled .

Governance

Privacy and governance in this sector

  • Clinical areas, treatment spaces, bed bays and patient-care corridors are excluded by design; deployment is limited to public areas, car parks and estates infrastructure.
  • All outputs are aggregate; no patient is identified and no clinical data is processed.
  • A data protection impact assessment and information-governance approval should precede deployment, not follow it.
  • Demographic estimation is not appropriate in healthcare settings and is not part of the standard pattern.
  • Evidence access must be role-restricted and audit-logged, with retention set to the shortest period supporting the security or estates purpose.

Frequently asked questions

Can analytics be used in clinical areas?

Not in this pattern. Clinical and patient-care areas are excluded by design. The operational value is in public areas, car parks and estates infrastructure, where the privacy exposure is manageable and the governance case is straightforward.

Does this process patient data?

No. Counting and occupancy outputs are aggregate numbers with no identity, no clinical information and no link to any record. That distinction is usually the crux of the information-governance conversation.

What approval is needed before deployment?

A data protection impact assessment and information-governance sign-off are normally required, and it is far faster to complete them before the technical work than to retrofit them afterwards.

Other industries

Author
Gabriel Bamola, Chief Marketing Officer, Ayonix
Technical review
Dr Sadi Vural, Founder and Chief Executive Officer, Ayonix
Published
Last reviewed

Design a healthcare pilot around your own cameras

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