Why video Analytics?

June 3, 2015

Video analytics makes security and perimeter systems much more robust than using other technologies or products.  Other technologies will provide some security, and passive systems can put off the opportunist, but only at the cost of myriad false alarms.

In order of sophistication, you can install…

 

External proximity infra red (PIR) sensors. These are only effective over very short distances and are triggered by any movement, whether a threat or not, and with no means of verification.

Sensor cables. These systems are effectively limited to just the area where they are placed. Again, alarms are triggered with no means of verification.

Microwave beams or infrared (IR) barriers. Once again, such systems are effectively limited to a very small area, can be jumped over or slipped under and alarms are triggered with no means of verification.

 

Cameras and digital video recorders (DVR). These systems are good for recording and forensic analysis in the case of an incident, however they don’t provide alerts in real time.

Video sensor with motion detection. These are of limited use outdoors because the detectors have no concept of any object or its attributes, nor their trajectory or direction, nor of any specified forbidden zones (and most of the movements in the field of view are of no interest to the user) and consequently trigger a large number of false alarms...

 

Video analytics. Systems that incorporate video analytics can detect precisely what you need to guard against over very big surfaces and over long ranges. Enabled systems are very difficult to avoid as they can cover a very large portion of the site being guarded and, explicitly, guard against movements in areas where there should be none, or not of that type (behavioural), or not at specified times (outside office hours).

 

Properly programmed (with Davantis systems this is a simple, intuitive task) not only are alarm triggers almost never false, but they can always be verified. Furthermore, Davantis-enabled systems come with machine learning capabilities that take account of changes in the environment, such as variations in light, shadow movements, cloud movements, periods of rain, plants and objects blowing in the wind, changing seasons, even insects and birds flying across monitored areas.

 

Video analytics quite simply reduces the cost of ownership caused by inadequate monitoring (leading to damage or theft) and/or false alarms (increasing labour and personnel costs) and the transmission and storage of unnecessary data.

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