Embedded analytics are revealing the true power of today’s IP cameras, offering much-needed solutions for targeted applications such as utilities, correctional facilities, remote operations, and more.
By placing the analytics capabilities as part of the edge device, the customer has the option to more easily get familiar with analytics and how to apply them to the business environment.
As users begin to better understand the capabilities, they will apply them to new and innovative situations that are not limited to just a person climbing the fence to unlawfully enter a property. – Reinier Tuinzing, Strategic Alliances Manager, Milestone Systems.
He lists, as examples, analytics that can be used to count the number of shoppers in line at checkout to determine when to bring in new cashiers or simply counting the number of shoppers entering through a specific door at different times of the day.
As today’s IP cameras can handle more analytics embedded right in the cameras and encoders, users will discover the even more capabilities, benefits, and new usage applications, getting even more out of their surveillance system.
Role of the VMS in Analytics
Some embedded analytics can serve as the first step in a series of actions to provide better security. For example, edge analytics can be used to perform the initial analysis of a scene (trip wire, motion detection, etc.), and then an operator can step in and perform a more detailed inspection to determine if further action or response is needed. To enable this, you need to make sure your embedded analytics link up to the video management system (VMS) that your end user uses.
“Success is more than just including new technology on the camera. The functionality to use those capabilities has to be enabled in the video management software as well,” says Milestone’s Reinier Tuinzing.
“For example, when vendors started installing edge storage on their cameras, some of them did not provide an API to access the storage from the VMS system for the central archiving and retrieval needs. Consequently the only means of getting the video data off the camera was to manually pull the SD cards from the individual cameras. Not very practical, obviously. Basically, functionality embedded in the camera — whether storage or video analytics — must also be made available in the VMS in order to work with the total information (view, save, search, export),” he says.
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