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Restricted area and danger zone monitoring

Draw virtual zones on existing camera views and get alerted when someone enters a danger area, stays too long, or is there outside permitted hours.

Restricted area monitoring is a video-analytics function that detects people (or vehicles) inside a user-defined zone of a camera image and raises an event based on rules such as time of day, dwell time or the number of people present.

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The problem

Robot cells, press areas, high-voltage rooms and chemical stores are dangerous to enter without authorisation or while machinery is running. Physical guarding is not always possible, and existing CCTV is typically only reviewed after an incident.

Security teams face a similar problem with after-hours access to sensitive rooms and perimeters.

How it works

  1. 1Zones are drawn on each camera view in the dashboard.
  2. 2People and configured vehicle types are detected and tracked through the zone.
  3. 3Rules combine zone, schedule, dwell time and person count.
  4. 4Events are sent with a snapshot or clip and can trigger local outputs.

Existing IP cameras / NVR

RTSP / ONVIF streams

Edge device on-site

AI models + rules; video stays local

Events

Time, camera, zone, evidence frame

Dashboard, alerts, API

Notifications, relays, REST/webhook

Typical on-premise deployment. Cloud and hybrid options are also available.

What can be detected

  • Entry into a danger or restricted zone
  • Presence outside permitted hours
  • Dwell time above a threshold
  • Lone-worker or minimum-headcount conditions in a zone

Typical scenarios

  • Robot cells and machine guarding areas
  • Electrical rooms, chemical storage, roof access
  • Vaults, server rooms and cash-handling rooms
  • Construction site exclusion zones

Deployment options

On-premise / edge

Analysis runs on hardware inside your network. Video does not leave the site; only events and metrics are stored or shared.

Cloud

Suitable for distributed, low-camera-count sites where central management matters more than keeping video on-site.

Hybrid

Video is processed on-site, while events, dashboards and multi-site reporting are managed centrally.

Working with existing cameras

  • The zone should be clearly visible; lens distortion at frame edges can make zone boundaries less precise.
  • Night operation depends on the camera’s IR or ambient lighting quality.
  • Most IP cameras and NVRs that provide RTSP or ONVIF streams can be connected, regardless of brand.
  • Before a pilot, sample footage from each candidate camera is reviewed for resolution, angle, distance and lighting.
  • Where a view is not suitable, the recommendation is usually to reposition the camera or add one — not to replace the whole system.

Integration

  • Dashboard and mobile alerts
  • Relay outputs (siren, beacon)
  • REST API / webhook to VMS, access control or EHS systems

Privacy and security

  • No face recognition is used in safety and operations analytics; events describe what happened, not who.
  • On-premise processing keeps video inside your network.
  • Evidence clips, retention periods and user access are configurable and should follow your GDPR/KVKK policies.
  • Workplace monitoring should be introduced with clear employee information and, where applicable, consultation with employee representatives.

Limitations

  • Camera-based zone monitoring is not a safety-rated machine guard and should not replace light curtains or interlocks where those are required.
  • Identity is not determined; the system reports that someone is in the zone, not who.

How a pilot works

  1. 01

    Discovery

    We agree on the problem, the owner, the sites and what a successful outcome would look like.

  2. 02

    Camera assessment

    Sample footage from candidate cameras is reviewed for angle, resolution, distance and lighting.

  3. 03

    Use-case definition

    Events, zones, rules, alert recipients and success metrics are written down before deployment.

  4. 04

    Pilot deployment

    Edge hardware or cloud processing is set up and connected to the selected cameras.

  5. 05

    Validation

    Detections are checked against reviewed footage; true detections, false alarms and misses are counted per camera.

  6. 06

    Report

    Results, limitations and recommended changes are documented and shared with all stakeholders.

  7. 07

    Rollout decision

    Based on measured results, you decide whether and how to expand to more cameras, sites or use cases.

Frequently asked questions

Can different rules apply at different times?

Yes. Zones can have schedules, for example allowing access during maintenance windows and alerting outside them.

Can it tell authorised staff apart from others?

Not by face. Where needed, events can be combined with access-control data or PPE/uniform rules defined for the site.

Related solutions

PPE DetectionAutomatically flag missing hard hats, vests and other required PPE in defined zones — continuously, on every shift, without replacing cameras.Forklift–Pedestrian DetectionMake forklift and pedestrian interactions visible: real-time warnings when people and vehicles share space, and data on where near-misses happen.People CountingAccurate in/out counts for entrances and zones, using cameras you already have.

Industries

ManufacturingLogistics & WarehousingConstructionBankingJewelry & Precious Metals Manufacturing

Case studies

PPE violations on an assembly line: a 24/7 automated inspection caseAutomotive component supplier — Türkiye

Further reading

What Are RTSP and ONVIF? Connecting IP Cameras to AI Video AnalyticsPlanning AI Video Analytics Architecture for 50–100 CamerasWhat Is Video Analytics? From Motion Detection to AI Event Detection

Start with the cameras you already have

Send us a few frames from your cameras and the problem you want to solve. We will tell you honestly what is feasible.

Evaluate your camerasDiscuss a pilot