Page 80 - Security Today, September 2018

lations—such as monitoring no-parking zones or detecting blocked emergency exits—as well as for ship tracking and traffic monitoring, such as wrong-way detection, traffic counts, and monitoring road- sides for parked or disabled vehicles.
Video analytics is also being used to optimize business processes based on information such as people counting or crowd density infor- mation to better control check-out lines in large stores. For example, when the video analytics detects a queue that exceeds a pre-defined threshold, it can activate the in-store public address system to broad- cast a message requesting store personnel to open another cash regis- ter. In addition, retailers use video analytics to count people entering and exiting stores to determine numbers of shoppers and days with peak traffic, and to ensure that no one enters or leaves the store using the emergency exit.
Future Uses for Intelligent IP Cameras
In the future, the metadata automatically and continuously generated by video analytics will bring added value for both security and non- security applications. The logical next step for security is to interpret the data to start repurposing the huge amounts of video data col- lected, uncovering its hidden potential for 100 percent utilization of the video security data.
In-camera analytics for traffic applications will produce meta- data that can help intersection controller systems to improve traffic throughput and pedestrian safety, and reduce pollution and carbon dioxide emissions, or to help traffic planners identify potentially dan- gerous traffic situations that need to be addressed. It can also help analyze usage patterns of parking lots and deliver occupancy data, such as the number of vehicles entering or leaving a parking garage for smart and more efficient parking. In more and more applications,
the camera will be used as an intelligent sensor of which only the metadata will be used, not the video itself.
For example, for retailers, metadata can be used to identify shoppers’ movements throughout a store. Through sophisticated cloud-based processing of the metadata, this information can be gathered without the actual video streams ever leaving the retailer’s premise, protecting the privacy of individual shoppers. The meta- data can be mined into performance results to enable retailers to see how shoppers are moving through the store, where they walk, stop and dwell, and to determine engagement rates at a display. This can help merchandisers evaluate the performance of each display in a store, providing them the information they need to increase customer engagement with products, which can lead to increased sales and revenue.
In the realm of smart cities, metadata gathered from video camer- as could be used to control lighting in a city based on the presence of people or to improve transportation planning based on people count- ing. Metadata can also be used for logistics optimization to improve container flow for shipping and delivery services.
These are just a few examples of more advanced uses of the meta- data generated by intelligent IP cameras. However, the possibilities within and beyond security are unlimited. The door is open for the de- velopment of new IoT applications that can assist
in gathering and uncovering trends and actionable
data from metadata generated by intelligent video
devices. It’s time to rethink what video security can
do and take data usage to a whole new level!
Sean Murphy is a vertical marketing manager for Bosch Security and Safety Systems.
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