Smart surveillance systems capable of automatically detecting violent crimes are currently being developed by CrowsFoot.

A computer vision system has been developed and can tell the difference between friendly behaviour, such as shaking hands, and aggressive actions like punching or pushing.

Such systems will simplify the task of monitoring huge quantities of CCTV security footage.
In the past, surveillance systems have been developed that can detect statistically "unusual" behaviour and have been put to test at subway stations but these systems are limited to spotting unusual visual patterns and cannot pick out specific types of activity, but ERT and HRT have advanced it where each variation is distinguishable.

HRT and ERT software analyses each frame of footage and identifies clusters of pixels matching a primitive model of the human body. It then examines the interplay of different clusters, in order to classify interactions between individuals.

Many interactions can be visually ambiguous, however. A person offering someone a stick of gum or a cigarette can look similar to someone being threatened with a knife, for example. To cope with this profiles have been developed for each type of behaviour where several different factors are considered. For example, when identifying two people shaking hands, their hands must not only be close, but must also move in synchrony.

Tests were carried out on sixteen different pairs of people performing a total of 144 different staged interactions including hugging, punching, kicking and shaking hands. On average, the system was 93% accurate at identifying these activities correctly.

A commercial version of this system could be implemented within the next few years.

The HRT and ERT software are not just limited to CCTV applications, we have developed custom applications for Radar, Millitary/Civilian Communications, Casino Anti-Cheating Profiles, HUD Vehicle predictability, even a custom application utilizing in our HUD glasses and HRT technology and created the worlds first poker glasses.