Schools & universities

School & Campus Safety

A single team can't watch every camera across a school district or university campus. QORA adds an AI layer to the cameras you already run — surfacing after-hours intrusion, perimeter breaches, loitering and dismissal-time crowding, with a human confirming every alert before it reaches your staff.

After-hours intrusionPerimeter breachLoiteringDismissal crowdingParking & lotsMulti-building view
What QORA watches for

Detections tuned for campuses

Illustrative — QORA output shown on representative scenes, not customer footage.

QORA AI detecting an after-hours intruder on a school campus security camera

After-hours intrusion

Detect people entering buildings, gyms or portables outside school hours and alert immediately.

QORA monitoring a school campus perimeter fence line for unauthorized entry

Perimeter & fence line

Watch fences, field edges and back-of-campus access points for climbing or unauthorized entry.

QORA surfacing crowding at a school entrance during dismissal

Dismissal & crowding

Surface unusual crowding at entrances, stairwells and pickup lines so staff can respond fast.

QORA license-plate recognition at a school parking lot and vehicle gate

Parking & vehicle gates

Extend coverage to student and staff lots — vehicles, plates and loitering around the building.

Why campuses choose QORA

  • Works with the cameras and NVR you already run — no rip-and-replace across buildings.
  • District-wide view: manage every school and building from one console with role-based access.
  • AI reduces alarm fatigue by surfacing only events worth a look — with snapshot evidence attached.
  • Privacy-first: facial recognition and biometrics are off by default, gated behind explicit consent, with a full audit trail on every action.
Yourexisting cameras
Edgeon-site processing option
Humanconfirms every alert
Audittrail on every action
Privacy by design

Built for a school environment

QORA is a monitoring and operations layer — not a surveillance dragnet. Biometric features stay off unless an administrator explicitly enables them under a signed consent agreement, on-site edge processing keeps footage local, and every alert is reviewed by a person before your team is notified. You decide what QORA watches for, building by building.

How it works

How an incident is handled

1 · Detect

QORA analyzes your existing camera feeds for the scenarios you turn on.

2 · AI Review

Obvious false alarms are auto-resolved and related detections are grouped, so your team sees real incidents — not raw motion.

3 · Human confirms

A person reviews the flagged incident. QORA never takes automated action against a person.

4 · Alert & log

Confirmed incidents notify your recipients and stay in a searchable, audited log.

Responsible by default

Privacy & operational considerations

You own your data

Configurable retention and deletion. Sensitive analytics stay off unless you explicitly enable them.

Human in the loop

QORA surfaces events for a person to confirm — no automated adverse action, no inferred protected-class decisions.

No facial recognition

QORA focuses on perimeter, after-hours activity, crowding and vehicle access. Facial recognition is off and is not used for campus safety.

Sensitive analytics are off by default, and every flagged event is reviewed by a person before any action. You are responsible for lawful camera placement and any required notice or signage. See our Privacy Policy.

Get started

Ready to see everything?

Talk to us about a pilot on your campus cameras — book a 20-minute demo.

Explore: Platform · Security & Trust · 30-Day Pilot