Security Technology Executive

SEP-OCT 2018

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38 SECURIT Y TECHNOLOGY E XECUTIVE • September/October 2018 • www. SecurityInfoWatch.com VIDEO TECH illuminator, spotlights, range finders and acoustic devices, can also be enabled to be geospatial, allow- ing them to be monitored and controlled using lati- tude and longitude information. So, in addition to dynamically displaying the type of intrusion, the location and dynamic tracks, a geospatial system can use these same tracks as cues to point interrogation sensors directly to the location of the security event. Some sensors can then automatically follow the tar- get as it moves within the scene. This ability to both monitor and react to situations in a map-based con- tent makes these the interaction with these interfaces very intuitive and efficient for security personnel. Sensor Collaboration Another advantage of a geospatial surveillance sys- tem is the ease that sensors can share and collaborate on information. Geospatial sensors, or ones that have been enabled to be geospatial, share a common oper- ating picture, mainly a physical coordinate system. This means they can effectively communicate with each other using a common geospatial command set. As a result, geospatial cameras do not need to under- stand radars' range & bearing and a LRAD does not need to compute the linear reflection distance of a fence sensor. They exchange position information in terms of elevation, longitude and latitude. The ability to quickly take data from a large set of sensors and apply them to a particular target, or potential target, allows for much better alarm confidence, and reduc- tion in nuisance alarms. Track Fusion A practical application of sensor collaboration can be seen in addressing a common issue of informa- tion clutter. With so many sensors in today's security arsenal, it is not unusual to clutter a security person's display with too much information. One form of clut- ter may involve tracks from multiple sensors, all indi- cating the same target. For example, both radar and video have the ability to provide real time map-based targets and when a single target passes through the detection area of both sensors, each sensor may each create a track for the same target, resulting in mul- tiple tracks for the user to decipher. To eliminate this issue, geospatial systems allow for what is referred to as "track fusion". Track fusion is the means by which several sensors that have over- lapping coverage areas collaborate track data, taking into account accuracy and update rates of each sen- sor, and then making the determination whether it is a single target, or multiple targets. The data from the various sensors is then merged to provide the user with a best case, single track and ID for that event. If one of these targets is a GPS enabled asset belonging to the facility, such as a company vehicle or patrolling officer, the system can include the GPS in the merged track and automatically identify the object as a friend and avoid tripping any nuisance alarms as part of their regular patrols or actions. The system would denote the object as a "friend" through the use of an appropriate icon on the map Geospatial and "Pseudo- Geospatial" sensors combine to provide improved situational awareness for security personnel.

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