One of the key benefits of moving from an analog to an IP video system with a Digital Video Recorder (DVR) or Network Video Recorder (NVR) is the ability to apply video analytics to your security video feeds.
Employing video analytics changes your video security system from reactive to proactive by allowing your Video Management System (VMS) to constantly scan all your video feeds for certain events that have been specified as situations that should trigger alarms that bring the situation to the attention of the security staff for monitoring and, if necessary, response. There are a number of different video analytics out there, but here are the 4 video analytics that any good VMS should possess:
- Moving in an area – this analytic allows you to define an area (virtually) and then, if anything (human, vehicle, animal, etc) moves within that area, an alarm will be triggered, allowing the security staff to view the video feed and determine what is in that area and what action, if any, should be taken. This analytic is useful for intrusion detection in large, open outdoor spaces where there shouldn’t be any traffic. In which case the space between an outer fence and the nearest building would be the defined area. Also, it is good for interior use, such as defining a certain section of a floor plan that is off limits to traffic.
- Crossing a line – this analytic is similar to the one above, but involves only a single, virtual “line in the sand” so to speak. Anything crossing that line will trigger an alarm. However, one of the major benefits of this analytic is its ability to not only recognize when the line is crossed, but also the direction of travel. This is very helpful for monitoring doors and entrances/ exits where things should only move in one direction (for example, if someone enters through an exit or a vehicle is traveling the wrong way in a lane or on a one-way street). In addition, this analytic can be very useful for sites where there is a lot of activity within the perimeter but little traffic crossing the perimeter, such as an airport or shipping facility.
- Loitering – this analytic detects a previously moving person that has stopped moving and is staying in the same place for a length of time. This analytic is very good at proactively identifying potential situations. For example, if you are a Security Director at a college campus and there is someone loitering in a parking deck, an alarm would be triggered, bringing this to your attention, at which time you might send a uniformed guard to see what that person is doing. Another example of how this analytic could be used is to identify people standing and waiting outside an exit, waiting for someone to come out.
- Asset protection – also known as “object taken,” this analytic allows you to be notified if an object is removed. Of course, this object must be visible to the video camera (not hidden behind something like a piece of furniture or plant). This analytic is primarily used to catch thieves trying to steal something. There is also an “object left behind” analytic, but this analytic can be a little less effective, since the object can be intentionally left somewhere that isn’t visible to the video camera (for example, in a trash can or under a table or chair). However, it should be remembered that video analytics are not a guarantee of security, but rather an additional layer of security.
There are many more analytics available. For example, Frontier Video‘s analytic software includes not only the analytics mentioned above, but also light detection, crowding, occupancy, tailgating and vehicle speed, just to name a few. However, these four analytics are the most widely applicable and thus considered the must-have analytics you should keep in mind when considering a Video Management System.
If you would like to learn more, you can watch our on-demand Frontier Video webinar below.
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