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School Security Monitoring

AI CCTV Security Monitoring for Schools and Colleges

Keep students, staff and visitors safe with AI that watches gates and perimeters, spots crowding and intrusion, detects fire and smoke and respects student privacy — on the cameras your campus already has.

School administrators cannot watch dozens of cameras at once. Zintrov AI does, turning gate, corridor, playground and perimeter cameras into a prioritised stream of safety events — an unknown adult at a side gate during class hours, a crowd forming near the canteen, smoke in a laboratory — each with evidence and an instant alert to the right staff member.

At a glance
  • Gate & perimeter alerts

    Unauthorised entry during class hours and after-hours intrusion.

  • Crowding detection

    Warn when corridors, stairs or gates get dangerously crowded (Premium+).

  • Fire & smoke

    Labs, kitchens, store rooms and electrical rooms watched continuously.

  • Privacy-respecting

    Role-based access, consent-first recognition for staff only, audit logs.

Works with the RTSP/IP CCTV cameras you already own.
Campus safety

Safeguarding that works at the speed of an incident

Perimeter and restricted-area rules alert security staff when someone enters where they should not — a boundary wall during class hours or a lab after hours. Loitering detection flags people lingering outside gates at pickup time, and crowd detection helps prevent crushes on stairs and at exits. Fire and smoke detection adds a visual early warning in labs, kitchens and store rooms.

Multi-location schools and college groups use the Business and Advanced Business plans to run one Security Operations Center across campuses, with role-based access for principals, wardens and security teams.

Perimeter & restricted areas

Boundary walls, side gates, labs and server rooms.

Loitering outside gates

Unknown people lingering at pickup and drop-off points.

Crowd detection

Early warning for dangerous crowding (Premium+).

Vehicle & bus monitoring

Log buses and vehicles at gates with ANPR (Professional+).

Privacy & governance

Designed for institutions that answer to parents

Zintrov AI never profiles students. Face recognition, where used, is consent-first and typically limited to enrolled staff for access insight. Evidence is encrypted with retention limits, access is role-based and every view, enrolment and acknowledgement is recorded in the audit log so administrators can demonstrate responsible use.

How it works

From camera to alert in four steps

  1. 01

    Connect your cameras

    Add the RTSP/IP CCTV cameras you already own, group them by site and zone, and verify each stream's health.

  2. 02

    Choose what to detect

    Enable the detections your plan includes — people, vehicles, intrusion, theft, fire and smoke, faces, number plates and more — per camera.

  3. 03

    AI analyses in real time

    The Zintrov AI engine watches every stream continuously and creates a structured security event with camera, time, confidence and severity.

  4. 04

    Evidence and alerts

    Screenshots and clips are captured and encrypted; the right people are alerted by push, email, SMS/WhatsApp or Telegram according to their role.

FAQ

Frequently asked questions

Start securing your site with the cameras you already own

Create an account, connect your cameras and let Zintrov detect, capture and alert — from your first camera to your hundredth location.

  • Role-based access
  • Encrypted evidence
  • Face recognition only with consent