Access control stops people at the door—not inside restricted areas where real risks happen. By drawing intrusion zones on existing CCTV, AI detects red-zone entry in real time and alerts supervisors before incidents escalate. Start with one high-consequence zone, tune for accuracy, and build a response loop that actually prevents repeats.
If you are searching for how to detect unauthorised personnel in hazardous zones in the oil and gas industry, you are usually dealing with the same frustration: the controls look solid on paper, but people still end up inside red zones. You often only find out when someone spots it, or when you review footage after the fact.
The most reliable way to reduce this risk is to treat it as a zone control problem, not only a perimeter security problem. That means you define the zones that must not be entered, detect entry in real time, alert the right person with a clear next action, then use the evidence to stop repeats.
Invigilo SafeKey is designed around that loop by using AI on CCTV to detect safety risks, send alerts, and capture events in a central dashboard for review and reporting.
In oil and gas, “unauthorised” often does not mean an outsider. More commonly, it is one of these situations:
This matters because if you treat every entry as the same event, you either miss the real risks or drown supervisors in noise.
If you want the broader context on how technology supports safety culture, permit discipline, and leading indicators in oil and gas, Invigilo covers it in more detail here.
Access control helps at entrances and doors. It can show who entered a site or a facility. It does not reliably stop someone from walking into the wrong internal area once they are inside.
Manual patrols help too, but they are not continuous. Many restricted-zone entries happen between rounds, especially during busy work windows.
So the practical question becomes: how do you detect internal red-zone entry early enough to intervene?
For most sites, the fastest path is to start from the camera coverage you already have.
With intrusion zones, you define a zone in the camera view and trigger an alert when a person enters that zone. Invigilo SafeKey supports intrusion zones that users can draw and configure to detect personnel entering dangerous red zones that should not have human traffic or have restricted access.
This approach tends to work well in oil and gas, where boundaries are clea,r and the consequence is high, for example:
Invigilo’s oil and gas positioning also focuses on high-stakes operations, using video analytics to surface non-compliance and risk patterns, and producing reporting outputs teams can use in reviews.
If you want to confirm whether your current cameras can cover your top red zones, ask Invigilo for a demo focused on one real hazardous zone. You will quickly see what an intrusion-zone alert looks like, how it routes to supervisors, and what gets recorded.
Restricted-zone detection fails when alerts feel random or constant. Once supervisors stop trusting alerts, response slows down, and the system becomes background noise.
Three simple practices keep alerts usable.
Start with one question: what boundary must not be crossed, and what happens if it is crossed?
Then keep the zone definition practical:
If the zone is temporary (for example, a lifting boundary for a shift), treat activation and deactivation as part of the work planning process. Someone should own when it turns on, when it turns off, and what the expected response is.
Instead of alerting the moment someone touches the boundary, alert only if the person remains inside for a short period (for example, a few seconds). This reduces edge pass-by alerts without sacrificing real intrusions.
Many zones are only restricted during specific work windows. Apply stricter alerting only during those windows. This keeps the signal high and the noise low.
Exceptions are normal. Lifting crews may be authorised inside a lifting boundary. Maintenance teams may enter controlled areas under permit.
The mistake is to disable the zone. Instead:
This preserves the integrity of the red zone while recognising real operations.
An alert is only useful if it changes what happens quickly.
For each critical zone, define:
Then define the expected action in simple terms: confirm authorisation, intervene, secure the boundary if needed, and log the outcome.
Invigilo SafeKey supports real-time notifications through common channels and captures events centrally, which helps supervisors respond through tools they already monitor.
Restricted-zone detection should do more than create alerts. It should create a clear record you can use to prevent repeats and tighten controls over time.
A useful intrusion record should capture:
With Invigilo SafeKey, these events can be captured centrally so teams can review what happened, confirm what was done, and spot repeat problem areas without spending hours scrubbing footage.
From there, track a small set of practical metrics:
These five mistakes are what usually break restricted-zone programmes:
If you fix these, most sites see a clear drop in alert noise and a more consistent response within a few weeks.
Start with one high-consequence zone that already has camera coverage. In the first 30 days, set up the intrusion zone, dwell time, alert routing, and outcome tagging so supervisors trust the alerts.
In days 31 - 60, tune zone edges, time windows, and exceptions to reduce false alarms.
By day 90, expand to a second zone and share a short results summary (repeat intrusions, response time, and corrective actions closed).
If you want a fuller playbook on how technology supports safety culture and sustained rollout in oil and gas, Invigilo covers it here.
A: Intrusion zones primarily detect that a person has entered a restricted area. Identification depends on your policy, camera placement, and what is appropriate for your site.
A: Conditions matter. The practical way to answer this is to pilot one real zone, measure true events versus false alarms, then tune boundaries and rules.
A: Invigilo positions SafeKey as integrating with existing CCTV or working with compatible cameras as needed. The fastest way to confirm fit is to bring your camera list and one or two target zones into a demo.
If restricted-zone entry keeps appearing in near-miss reviews, you do not need to start with a massive programme. Start with one red zone, clear alert rules, and one response owner.
Book a demo with Invigilo or contact their team and bring one or two hazardous-zone examples. Ask to see how intrusion zones are configured on your CCTV views, how alerts are routed to supervisors, and what the investigation record looks like in Invigilo Audit so your team can respond fast and reduce repeats.
Barricades get moved during work and often aren't restored fast enough—leaving edges, shafts, and openings exposed. AI video analytics on existing CCTV can detect missing barricades in real time and alert supervisors before someone gets hurt. Start with two or three hotspots, prove the loop works, then expand.
Manual safety reporting is slow, inconsistent, and misses near-misses. By applying AI analytics to existing CCTV, incidents are detected and logged automatically in real time—no forms, no delays. The result: faster response, clearer patterns, and safety data you can actually act on.
Falls from height persist because edges, openings, and platforms change quickly, and supervisors cannot catch every risky moment between inspections. This guide shows how AI video analytics on existing CCTV (Invigilo SafeKey) can monitor high-risk zones continuously, trigger fast alerts, and validate real prevention through a focused 30-day pilot with clear zone rules, response ownership, and privacy-aware governance.
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