You’ve moved your video surveillance data to the cloud. Now what?
Video surveillance is becoming a common practice, and ultra-HD formats have become the new standard. This, in turn, has created severe limitations for companies to manage on-premise video assets and storage systems—especially content for over months and years. The Cloud is now a common option; and many of the leading video surveillance platforms offer integrated cloud storage as part of their solution. As I have blogged before, many of these solutions pretty much take your data to the cloud to die. Rest In Peace. #RIP
The cloud tsunami is here. Video surveillance data is one of the many sets of data moving to the cloud. The amount of data and applications in the cloud has risen exponentially. For most customers, it is not a matter of if—but when—they move to the cloud.
We all know about the cloud promise—a safe, secure, agile and cost-effective computing environment. The question is, once the videos move to the cloud, what else can do we do? After all the cloud promise cannot be just a lower cost storage graveyard in the cloud.
Here are some of the capabilities any cloud solution for video surveillance should provide:
Cloud Native Streaming
Once the videos are in the cloud, there is no reason for the videos to be recalled back on premise. Why pay for expensive egress or execute an infra project in the cloud to create VMs to ingest videos and RDP in to view them, when you can simply search the videos directly in the cloud and stream them using cloud native tools already in the cloud? Stream your videos seamlessly from the cloud using available media services on public clouds like Azure Media Services. The Cloud Video Accelerator from CloudLanes offers an out-of-box integration to help you leverage this feature.
Facial Recognition & Analytics
In the case of an incident, you may be required to review the last 30 days of videos to see if a potential suspect actually was on premise and caught on any of the cameras. What a mundane task to review these non-action packed videos for hours at a stretch! Why not leverage the burst and analytics capabilities of the cloud for facial recognition and advanced analytics?
As the amount of data in the cloud continues to grow and you reach multiple petabytes of data, no solution is complete without an in-built search capacity.