Schools & Campuses

Improve Campus Awareness With AI-Powered CCTV Alerts.

Most school cameras are watched only after something has gone wrong. CamBrain AI watches the places that matter at the times that matter — the terrace at night, the lab after school, the tank, the gate at dismissal — and tells the warden or security officer while there is still time to walk over.

LIVE · SIMULATIONRooftop access after hours
Simulated illustration, not real footage: what each detection checks and the alert it raises.
The problem

What you are up against.

The places schools worry about are the ones nobody watches

Terraces, water tanks, labs and back corridors are covered by cameras that record to an NVR in the office. Nobody is looking at them at 10:30 at night.

A guard cannot watch forty screens

Even a staffed control room misses most of what is on the wall. An alert that says which camera, and when, is what makes the cameras useful.

Parents and managements want places watched, not children

The school profile watches zones and schedules. It does not identify, name or follow any child.

What CamBrain AI can alert on

Use cases, with their readiness.

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

Rooftop access after hours

Site setup required

“Someone goes up to the school terrace at 10:30 PM.”

What CamBrain AI detects
A person enters the rooftop zone drawn on that camera, outside the hours you set.
Who gets the alert
The warden on duty, with the camera, time and a snapshot.
What happens next
The warden checks the footage and responds according to school policy.

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

Restricted laboratory entry

Site setup required

“The chemistry lab door opens on a Sunday afternoon.”

What CamBrain AI detects
A person is detected inside the lab zone outside its permitted schedule.
Who gets the alert
The lab in-charge and the security desk.
What happens next
Staff review the clip and decide whether anyone needs to go and check.

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

Hostel restricted-area entry

Site setup required

“Someone walks into the hostel's staff-only wing at 1 AM.”

What CamBrain AI detects
A person is present in a designated hostel zone during hours it should be empty.
Who gets the alert
Authorised hostel security staff.
What happens next
Security looks at the clip and follows the hostel's procedure.

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

Pool, pond or water-tank access

Site setup required

“A student is near the overhead water tank during the lunch break.”

What CamBrain AI detects
A person enters the zone drawn around the pool, pond or tank.
Who gets the alert
The staff member responsible for that area.
What happens next
They check the live view and go over if needed.

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

Blocked corridor or emergency exit

Site setup required

“Benches stacked for an event are left in front of a fire exit.”

What CamBrain AI detects
Something stays in a corridor or exit zone longer than the time you set.
Who gets the alert
The estate manager or caretaker.
What happens next
The exit is cleared; the camera looks again before the alert is closed.

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

Crowd buildup during dismissal

Site setup required

“The main staircase packs up when four classes are let out together.”

What CamBrain AI detects
The number of people in the stairwell or corridor zone passes the threshold you set.
Who gets the alert
Campus security and the duty teachers.
What happens next
Staff stagger the release or open another route.

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

Vehicle moving too fast on campus

Site setup required

“A van speeds up the school driveway during drop-off.”

What CamBrain AI detects
A vehicle's speed through a measured stretch passes the limit you set.
Who gets the alert
The transport in-charge or gate security.
What happens next
The driver is spoken to, using the clip.

Speed is reported only on cameras whose height and tilt have been measured.

Needs a zone drawn on your camera, the camera's mounting height and tilt, then testing on your footage.

Person near a moving vehicle

Site setup required

“A child walks behind a reversing car in the pickup bay.”

What CamBrain AI detects
A person on foot comes within a set distance of a moving vehicle.
Who gets the alert
Gate security and the transport in-charge.
What happens next
Staff review the moment and adjust the pickup layout if it keeps happening.

Raised only where distance on that camera has been calibrated and tested.

Needs the camera's mounting height and tilt, then testing on your footage.

Animal on campus

Site setup required

“A stray dog wanders onto the playground before assembly.”

What CamBrain AI detects
A dog, cow or other animal is detected and stays in a monitored area.
Who gets the alert
The security guard on duty.
What happens next
The guard moves the animal out before children arrive.

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

After-hours presence

Site setup required

“Lights are off, the campus is locked, and someone is in the admin block.”

What CamBrain AI detects
A person is detected in a designated area outside its operating schedule.
Who gets the alert
The security supervisor.
What happens next
The supervisor checks the footage and decides whether to send someone.

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

When an alert fires

Who is told, and what they see.

Who receives it

The warden, the security supervisor or the duty teacher you name for each area and time — on their phone, and on the security desk screen.

What the alert contains

  • Which camera and area
  • The time it started
  • A snapshot and a short clip
  • What was detected, in plain words

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 already see the terrace door, the tank, the lab corridor and the gate. Night coverage needs working IR or lighting. Speed and distance checks need the camera's height and tilt measured once.

What we will never do

  • Emotion, attention, uniform or 'behaviour' checks on children
  • Cameras inside bedrooms, bathrooms or changing rooms
  • Following children from camera to camera
  • Predicting violence, intent or who is 'dangerous'
Questions

Frequently asked.

Does CamBrain AI identify students?

No. The school profile watches places and times — a zone, a schedule, a count. It does not recognise faces or follow any child between cameras. Residential schools may, with parents' written consent, choose attendance at named checkpoints; that option is in development and is never switched on for day schools.

Can it prevent accidents?

No system can promise that. CamBrain AI tells a named person that something is happening in a place you care about, with the camera and time, so they can decide what to do. The decision stays with your staff.

Do we need new cameras?

Usually not. We check your existing cameras first. Some areas may need a camera moved, better night lighting, or a camera added where none sees the place.

Who sees the footage?

Only the staff you authorise, by role. Every view of recorded footage is logged against a named user.

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.

Book a live demo

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How it works

Simulated illustration — not real footage

A drawn scene showing what the detection checks and what the alert looks like. Real performance depends on your cameras and is measured during a pilot.