Video analytics

Video analytics allow organizations to monitor and manage multiple video surveillance cameras by automatically recognizing changes in activity on the screen to generate an alert or trigger a response from the monitoring staff observing the feed,

such as automatically locking a door, sounding an alarm or notifying the nearest security officer. This may identify a potential threat before it has actually happened.

The action generated by these analytical tools can be as simple as on-screen alerts of suspicious or unwanted behaviors, or as complex as using biometric facial recognition technology to grant or deny a person access to a high security area. They can significantly increase the capabilities of what might otherwise be a very stock standard video surveillance system and turn it into a highly tuned, mission critical component of the organization’s entire operations.

Even the simplest of video analytics implementations can increase an organization’s security. These include motion detection (to notice when a person enters or leaves an area), virtual tripwires (to detect when someone or something enters a secure area), object recognition (which can identify when a particular object is removed, or if additional objects appear), and License Plate Recognition software to scrutinize cars entering and leaving a facility.

Specialist CCTV analytical tools can help government bodies and commercial groups put their security systems to other uses, such as identifying regular patterns in human traffic to review building plans in order to make work or public areas more efficient or safe. The possibilities are limitless.

In the future, organizations will look to further leverage the capabilities of their CCTV network to incorporate specialist functions such as biometric identification and behavior pattern recognition. Using facial recognition and gait recognition technologies, it is already possible to match surveillance subjects against a watch list of “persons of interest”. As these biometric technologies continue to evolve, we are likely to see even greater convergence between surveillance and identification.