Page 10 - Security Today, November/December 2019

“Keeping an eye out for new technologies allows system designers and consumers to
identify those which may provide a cost benefit or strategic advantage.”
cloud-based AI analytics.
The premise is simple: instead of deploying hardware on-
site for processing the analytics, video is streamed to the cloud, where servers with the analytics software are hosted. The ana- lytics software is configured to provide alerts when detection occurs. Upfront hardware costs are replaced with ongoing monthly fees, making the acquisition cost of the technology much more affordable.
The downside of this model includes lower scalability and higher ongoing costs.
Scalability is limited by the consumer’s internet connection speed, due to the need to upload video to the cloud for process- ing. This is not likely to limit adoption for many consumers, be- cause it is not uncommon for only a subset of cameras at a site to require analytics processing. In the event a high number of cameras need to be analyzed, many cloud-based analytic solu- tions can process video at a lower resolution and/or frame rate while still achieving accurate detection.
Unified GUIs from VMS Platforms
Several prominent security product manufacturers have been moving toward providing unified solutions, as opposed to focus- ing on a single product area to develop a “best of breed” offering. This move is driving a shift in thinking with consumers, putting more emphasis towards deeper integration of complementary se- curity technologies, and a corresponding need to easily associate security data.
As such, consumers today want access to all the information in a single interface, which allows for the association of comple- mentary security data. As an example, if a cardholder presents an access control credential to enter an area, the access control sys- tem would show the name of the individual associated with the credential that had unlocked the door. The video system would display the person walking through the door. If the live video and the access control records are presented together in the same interface, a security officer would be able to see the person who walked through the door was not the person associated with the access credential.
Traditionally, most integrations occurred between video and access control systems. Users would view the integrated video and access data in the access control system interface. Technolo- gies such as point-of-sale integration, license plate recognition and video analytics have become more widely used over the past several years. Data from those technologies are best presented within the video surveillance system, and as such, it makes sense for video management platforms to move towards becoming a unified interface.
Several VMS providers have already taken steps in this di- rection. Either data from a complementary security system can
be presented alongside video and other data directly, or add-on components for LPR, Analytics, and the like are purchasable options from such vendors.
Hybrid Cloud VMS Functionality
Interest in cloud-based video surveillance deployments contin- ues to grow. Market awareness and education is high, due in great part to the growing number of available solutions, includ- ing those from mainstream VMS Platform providers. However, full Cloud VMS deployments in the professional market are not yet widely utilized as a result of high bandwidth costs, which limits scalability.
Bandwidth costs disproportionally affect mid-sized to en- terprise-scale consumers, as a result of those consumers having more cameras and therefore requiring more bandwidth. Even so, benefits such as simplified remote access, which is discussed be- low, and the ability to scale video retention without adding on- premise storage may drive hybrid cloud features in traditional VMS platforms.
Traditional deployments utilize on-premise servers with fixed amounts of storage. This traditional model lacks flexibility many users seek. As an organization’s requirements evolve, their video retention requirements may also change.
A cloud-archiving service built into a VMS would allow the VMS user to leverage cloud storage for long-term archiving on se- lected cameras. This capability would remove the need to add addi- tional on-premise storage as retention requirements change. Using cloud storage would allow the user to extend their storage capacity at any time, by simply making configuration changes in the VMS that would correspond to a monthly fee for cloud storage.
Another cloud feature that would benefit users of traditional VMS systems is simplified remote access. Today, users of tradi- tional VMS deployments can set up remote access via the internet using a VPN connection or by making the VMS server available via port forwarding on an internet-connected router. Those con- figurations may involve additional cost, configuration complexity or security risks. A VMS-supporting, cloud-based video sharing may allow an administrator to configure remote access by simply checking a few boxes during configuration, causing the VMS to connect securely to a cloud-based server where users can log-in to view selected cameras. This setup removes the need for complex configuration, which would need to be maintained every time there are network changes affecting the VMS servers.
Staying Ahead of the Curve
Keeping an eye out for new technologies allows system designers and consumers to identify those which may provide a cost ben- efit or strategic advantage. With cloud offerings becoming more mainstream, new uses for cloud architecture are coming to light in video surveillance. Finally, with technology integrations and video management interface development grow-
ing more sophisticated, live monitoring practic- es and security operations center design may be affected in the coming years.
Brian Carle is the director of product strategy at Salient.
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