More and more business organizations are using video analytics systems to improve their overall perimeter security. Intelligent video surveillance systems such as Qognify’s have been creating a buzz in the world of Physical Security Information Management as the logical next step to advanced physical security. While conventional video surveillance cameras remain integral parts of an organization’s security infrastructure, there is a growing need for a more intelligent, more responsive, and faster video content analytics programs.
But how do these video analysis systems work for enhanced security? Here are some of the uses of such technology in today’s highly secure-oriented organizations.
- Object detection and classification – Today’s intelligent video monitoring systems allow security officers to easily identify objects whether they are a threat or stationary items within the frame of the video camera. The system’s algorithms can effectively discern intrusions and objects regardless of environmental conditions. Additionally, it can also classify said objects whether they are human, trucks cars, or an unknown. This allows security personnel to be placed on alert.
- Slew-to-cue capability– More a military technology, this use of video content analysis systems allow users to follow targets with their surveillance cameras. Objects detected as security threats can be tracked with the algorithms in the video system.
- Image stabilization – One of the major concerns of video systems is the resulting low resolution images of cameras. With on-board image stabilization, video analytics can help security personnel have a much clearer view of the object or event in question.
- Fully automated pan-tilt-zoom tracking – Similar to its use for slew-to-cue capability, many of today’s video analytics can now fully automate panning, tilting, and zooming of the video camera on objects of interest. This greatly increases the efficiency of security threat assessment and monitoring.
- Direction and speed threshold determination– Criminal elements who may be approaching the facility in a vehicle may be actively monitored using video analytics systems. This algorithm allows security personnel to determine the actual speed and direction of a target vehicle regardless of the vehicle’s orientation to the video. Thresholds can be preset to send out alarms as the vehicle approaches certain distances.
- Background modelling– This algorithm allows security personnel to recognize the different features or traits of a background so that they can be digitally removed from the screen. This allows for an uncluttered view of the area in question, significantly improving overall security.
- Crowd detection – Video analytics also allow security personnel to allow any activity in a particular area of concern. This is especially useful in issues of loitering or even illegal assembly in company premises. The intelligent video surveillance system allows the organization to identify how many individuals or objects are present as well as determine whether they are staying in a particular area for an unusually suspicious period of time.
- Camera tampering detection– Manually, it will be difficult to detect surveillance camera tampering. But with video analytics, the software can easily identify if someone messed with the perimeter security cameras.
These are just some of the uses of video analytics systems for security. The system has simplified all other aspects of security monitoring and surveillance.