HALO Reduces false alarms in the control room by over 90%

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How HALO works to reduce false alarms passed to the Police by over 90%.


Ai, Deep Learning if you have not heard these words yet or understand what they mean or how they work then where have you been?

As humans, we possess the ability to recognise what we see, analyse it and draw our conclusions; generally, we are right; we make the correct decision. But sometimes because of distraction, tiredness or the effects of outside influences (what's happening at home) we make mistakes.


This failing is never more obvious in security operations centres.




Here operators are expected to complete an eight or sometimes twelve-hour shift with total concentration. It never happens. It is only luck that stops more errors creeping in. The likelihood of a security event occurring while on shift is low.

But, just like on the roads, when mistakes happen they can be catastrophic.

With autonomous cars now appearing on our streets, we are familiar with the statistics; we know that they will, like it or not, reduce accidents. As time progresses and the technology matures then those that remain will be driven out. Technology always improves.



Halo, the third Initsys Robot is here. It follows threat manager and MAA the automated responder working inside the Initsys Merlin system. Halo is designed to look at events as they occur. It doesn't matter where the trigger appears. Alarm, older analytic technology or even from a human notification.


As soon as an event is received Merlin reaches out to CCTV systems nearest the point of the trigger to collect images from just before the trigger time to just after; the process takes seconds.


Halo will look at that CCTV and alert when it sees something that it detects as wrong. It doesn't rest; it doesn't get distracted; it surely is not affected by what is happening outside its sphere of responsibility.


Everytime HALO sees an event it learns from the cameras it views, and the operator can refine its knowledge further. The partnership essential. The deep learning and artificial intelligence will mature over time. Getting better with every event; growing to learn what the control room is expecting of it.


HALO will reduce false alarms passed to the control room operators by well over 90%, provided the engineers have set the original system correctly. It detects tampering with the remote cameras, and most of all it improves the response time because when HALO detects it raises the threat and that event is passed for immediate handling by a human or an alert can be automatically dispatched to a responder.