Tijmen Vos, VP of Product, Eagle Eye Networks explains how automation technology is transforming video surveillance – from passive watching to proactive security.
At 2:14 AM, a person is detected near a locked rear gate at a regional distribution warehouse. The facility sits on the edge of an industrial park, mostly quiet at night.
With a traditional video surveillance system, that motion alert might be missed – or simply noticed too late.
With new automation technology and AI capabilities, however, that motion alert reaches the monitoring centre in real time; lights turn on automatically and a voice warning plays through an outdoor speaker.
The response to the alert is coordinated, intelligent and immediate. Today, AI not only detects threats, but it helps prevent incidents by taking action before they escalate.
Automated, real-time response is becoming the new standard for video surveillance. Eagle Eye Automations is a rules engine, designed to make that happen.
The business owner creates conditions – such as “motion after hours” or “denied license plate detected” – and links them to actions (send a mobile alert, activate a relay, notify a monitoring centre).
The result is a video surveillance system that goes beyond passive observation and supports real-time response.
Automation and AI does not replace security professionals – it empowers them to act faster and focus where it matters.
As the security industry enters a new phase, capturing video alone isn’t enough. Security teams, whether on-site or in remote monitoring centres, need video surveillance systems that interpret events and trigger appropriate responses.
With fewer staff responsible for more locations and a growing pressure to manage risk efficiently, Automations is becoming essential.
We believe automation belongs at the core of any video management system. Detection is only the first step.
A smart platform should know what should happen next – and then execute that action.
AI has changed what video systems can recognise, but AI alone does not solve security problems. A “person detection” alert at 3 AM is useless unless it triggers a response.
The Eagle Eye Automations platform turns AI into a practical tool that supports everyday security workflows, helping teams detect, decide and act without delay.
For example, if an unregistered vehicle enters a property after hours, the system logs the event, alerts the monitoring centre, plays a pre-recorded audio warning over a speaker and sends live video to the response team – all without human intervention.
The example at the beginning of this article illustrates how Eagle Eye Automations bridges the gap between detection and decision.
At the regional distribution centre, the system identified a person loitering near a locked gate after hours. It activated floodlights, played a voice warning and sent a video alert to the remote monitoring centre.
The monitoring centre personnel verified the threat and contacted on-site security to intervene before the intruder could enter.
Eagle Eye Automations reduces false positives by applying AI with clear context, such as schedules and access rules, so security personnel can focus on real threats.
It ensures consistency by enforcing the same response logic across every site. It also speeds up reactions by removing delays between detection and action.
In the UK and other mature markets, legacy security systems – burglar alarms, strobes and sirens for example – are in place and they work well.
Yet, they often operate outside modern cloud video systems, limiting situational awareness and integration.
Eagle Eye can incorporate on-site devices into automated video workflows. For example, if a door contact sensor detects a forced entry, the system can immediately send an alert, begin recording and trigger deterrents.
The video management system (VMS) can also respond to motion or licence plate recognition by activating lights or opening a gate for authorised vehicles.
This approach lets customers modernise without replacing existing infrastructure. Legacy sensors, alarms and other equipment becomes part of the automation logic.
A motion sensor that once triggered only a local siren can now also send video to the monitoring centre and activate pre-recorded warnings – just like a cloud-native system.
By connecting on-site devices with cloud intelligence, monitoring teams get a clearer picture of what’s happening and greater control over how to respond.
Professional monitoring centres face growing demands, with fewer staff and more sites to oversee. Operators must respond quickly and accurately, often under pressure.
Eagle Eye Automations supports this work by filtering out false alarms and elevating real threats, so attention stays where it’s needed most.
With the right tools in place, monitoring teams respond faster, stay focused and improve outcomes without increasing headcount.
Integrations with monitoring platforms like Immix and Sentinel help security teams manage and respond to events more efficiently.
Eagle Eye Automations lets operators filter alerts by time, location and type. This cuts unnecessary notifications and delivers only the most relevant alerts with video evidence for quick review.
Sentinel, widely adopted in the UK, enables monitoring centres to offer video services without adding new infrastructure.
Paired with Eagle Eye Automations, it becomes part of a dynamic workflow; not just a viewing tool, but a response system.
Today’s video systems should do more than record: They should help make decisions and prompt action. This reflects a broader shift from traditional video management to AI-powered security – a change highlighted at the Eagle Eye Brivo Cloud Security Summit this summer.
Moving from recording to responding demands smart platforms, flexible rules and integrated systems.