Hospitals

Keep Hospital Entrances, Stores and Waiting Areas Under Watch.

Hospitals already have cameras on the ambulance bay, casualty and the stores. CamBrain AI turns those views into alerts for the security and facilities team. It watches places and times. It does not watch patients and does not make clinical judgements.

Book a Live Demo See the use cases

LIVE · SIMULATIONBlocked ambulance bay

Simulated illustration, not real footage: what each detection checks and the alert it raises.

The problem

What you are up against.

The ambulance bay must stay clear

A parked car in the bay costs minutes nobody can spare. Security usually finds out when the ambulance arrives.

Crowding in casualty puts staff at risk

A waiting area far past its safe headcount is where tempers rise. A count against the limit lets security step in early.

Patient dignity comes first

No cameras in wards, rooms, examinations or toilets, and no identification of patients.

What CamBrain AI can alert on

Use cases, with their readiness.

5 need site setup. Labels come from the product's capability register. What the labels mean.

Blocked ambulance bay

Site setup required

“A visitor's car is left in the ambulance bay outside casualty.”

What CamBrain AI detects: A vehicle stays in the ambulance-bay zone longer than the time you set.
Who gets the alert: Security at the casualty entrance.
What happens next: The car is moved; the camera confirms the bay is clear.

Needs a zone drawn on your camera, then testing on your footage.

Occupancy over the safe headcount

Site setup required

“The casualty waiting area fills with relatives late at night.”

What CamBrain AI detects: The count in the waiting-area zone passes the headcount you set.
Who gets the alert: Hospital security and the casualty in-charge.
What happens next: Security manages entry to the waiting area.

Needs a zone drawn on your camera, then testing on your footage.

After-hours access to drug stores

Site setup required

“Someone is inside the drug store at 3 AM with no indent raised.”

What CamBrain AI detects: A person is present in the store zone outside its permitted hours.
Who gets the alert: The pharmacy in-charge and security.
What happens next: Staff check the clip against the store register.

Needs a zone drawn on your camera, the hours it applies, then testing on your footage.

Restricted-zone entry

Site setup required

“Someone walks into the oxygen plant enclosure.”

What CamBrain AI detects: A person enters a zone marked restricted.
Who gets the alert: Facilities and security.
What happens next: Security checks the live view and responds.

Runs in production today; not yet measured on a held-out set, so it is measured on your cameras first Needs a zone drawn on your camera.

Panic button for staff

Site setup required

“A doctor in casualty is surrounded by an angry crowd.”

What CamBrain AI detects: A staff member presses the panic button on their phone.
Who gets the alert: Everyone responsible for that area, with the nearest cameras opened.
What happens next: Security goes to the spot.

Built. Staff phones and the people to be told are set up on site.

When an alert fires

Who is told, and what they see.

Who receives it

Hospital security and the facilities or nursing supervisor you name for each area.

What the alert contains

Camera and area
The time it started
A snapshot and short clip
The count against the limit, for crowding

What they can do

Open the live view or the clip, acknowledge it, and close it when it is dealt with. Alerts that a fix has been made are checked by the camera before they close. The decision is always a person's.

Technical conditions

What your cameras need.

Cameras that see the ambulance bay, waiting areas and store doors. Waiting-area counts work best from a high, angled view.

Check My CCTV Compatibility

What we will never do

Patient-fall detection or patient monitoring
Clinical decision support of any kind
Cameras inside wards, patient rooms, examinations or toilets
Identifying patients by face, or predicting aggression

Questions

Frequently asked.

Can it detect patient falls?

No. CamBrain AI does not monitor patients and does not offer clinical alerts.

Where does video go?

It is analysed on a server inside the hospital. Authorised staff can view cameras remotely over an encrypted connection; video is not stored on the way.

Who receives alerts?

The people you name for each area and time — for example, casualty security at night and the facilities supervisor in the day.

See it on your own cameras.

Tell us about your site and the problems you want to solve. We will check your cameras and recommend one focused use case to demonstrate first.

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