From Blind Spots to Smart Response: Reinventing Perimeter Surveillance for a Leading Industrial Site in Europe

A call for smarter perimeter protection

A large industrial client in Europe, responsible for high-value manufacturing and logistics, was experiencing mounting challenges with its perimeter surveillance systems. Motion sensors triggered alarms constantly, especially during windy nights or animal activity. Operators were overwhelmed, unable to distinguish real threats from noise.

In one case, an intruder entered a loading dock area through an unmonitored blind spot between two sensor zones. The incident wasn’t detected until morning. In another, alarms were ignored after too many false positives earlier in the shift. The surveillance system was generating data, but not usable intelligence.

With multiple devices (thermal cameras, microwave sensors, PIRs) and disparate software systems in play, the team needed a way to make sense of events, prioritize incidents, and reduce pressure on human operators. Manual logging, rule creation, and response coordination were no longer sustainable.

Human-AI collaboration in real time

That’s where Reailize partnered with the security company in charge to deploy an AI-assisted surveillance platform built for multi-sensor environments. Instead of just layering analytics over video, the platform was designed to ingest, correlate, and prioritize data from any device type or brand, in real time.

The new platform offered:

• Correlation of video + motion + access logs to suppress alarms caused by wind, wildlife, or environmental noise.

• A centralized control room dashboard with live incident flows, mapping events to physical zones and response protocols.

• Policy logic that evolved by learning from human operators. Every time a guard closed a ticket, the system learned from it, improving future classification accuracy.

• ARC-compliant workflows baked in, ensuring police were notified automatically if thresholds were crossed, without manual decision-making delays.

For example, if a person was detected near a restricted rooftop area between 11 PM and 5 AM, and motion sensors confirmed presence across multiple zones, the system elevated the incident, even before the operator saw the footage.

Results that matter

Within the first 90 days:

• False alarms dropped by 43%, thanks to multi-sensor correlation and AI-based pattern suppression.

• Operator fatigue decreased significantly with higher staff responsiveness.

• Incident escalation time dropped from 8 minutes to under 90 seconds, relying on automated policy application and alert workflows.

• Historical ticket data began to surface insights, like certain zones being more vulnerable at specific times, enabling predictive planning for patrols and maintenance.

The platform didn’t replace the security team, it enhanced its perfomance. Guards now focus on true threats, aided by a system that learns from every action they take.

A future-proof blueprint for security modernization

The deployment is now being replicated across other industrial zones and logistics hubs under the security company’s portfolio. Because the solution is device-agnostic and cloud-managed, in compliance with national sovereignty regulations, it integrates seamlessly with both legacy infrastructure and future technologies.

The result is not just fewer alarms, but a more proactive security posture. A system that adapts, learns, and scales, without relying on manual oversight to hold it all together.

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