Camera view of a hospital waiting area and entrance, with people counted and faces blurred
Waiting area · 88% full
Entering

Patient flow and footfall

See how many patients move through each department and when, so staff and space match real demand. Hospitals and clinics often don’t know how many patients pass through each department, or when.

64Patients this morning
14Waiting now
88%Waiting area full
The problem

Why it matters.

Hospitals and clinics often don’t know how many patients pass through each department, or when. Staffing and space are planned on assumptions, and waiting areas overflow.

What it detects and measures

  • How many patients enter each department, hour by hour
  • Unique visits, counted without identifying anyone
  • Movement between departmentsTo show how patients flow through the site
  • Busy and quiet periods by day and week
  • Crowding in waiting areas at peak times

Typical applications

HospitalsDental and teaching hospitalsOutpatient clinicsMedical centres
How it works

Set up in four steps.

Self-service, in the browser, on the cameras you already own.

  1. 01Connect

    Uses the CCTV cameras already at entrances and waiting areas. No new hardware.

  2. 02Set the rule

    Mark the entrances and waiting areas for each department.

  3. 03Measure

    Counts people entering each department and how they move between them. Faces are blurred and no one is identified.

  4. 04Act

    When a waiting area gets too busy, the department manager is alerted.

Alerts and results

What your team gets.

Alerts reach the person who can act, with the time, place and frame. Every event is kept for reporting.

Oral surgery waiting area nearly fullDepartment manager alerted
Patient arrivals higher than usualFront desk informed
Morning summary readyFootfall by department shared

For operations

  • A live view of patient numbers by department
  • Busy periods seen as they build

For the business

  • Staffing and opening hours matched to real patient demand
  • A better patient experience with less crowding
  • Reliable activity figures for reporting and funding
  • Patient privacy protected: people are counted, never identified
Start small

Try patient flow and footfall on your own cameras.

Send us your camera list, the area that matters and some sample footage, and we’ll demonstrate what your cameras can measure today.

Start with one camera
Contact us

Talk to the Eye4.ai team.

Tell us a little about you and what you would like to know. We reply within one business day.

I would like to

Footage credits

Demonstration footage. Some clips are AI-generated with Google Flow. Others are sample videos from Intel (CC BY 4.0; changes were made: clips are trimmed and overlaid), OpenCV sample data and Mixkit. Detection boxes come from an object-detection model run on each clip; labels and metric values are illustrative.