Video surveillance systems are producing more unstructured data than ever before. A dramatic decrease in camera costs in recent years has led many businesses to invest in comprehensive surveillance coverage, with more cameras generating more data. Plus, advances in technology mean that the newest (8K) cameras are generating approximately 800% more data than their predecessors (standard definition).
Traditional entry-level solutions like network video recorders (NVRs) simply aren’t built to handle massive amounts of data in an efficient, resilient and cost-effective manner. This has left many security pioneers grappling with a data storage conundrum. Should they continue adding more NVR boxes? Or is there another, better, route?
Retaining video data
In short, yes. To future proof their video surveillance infrastructure, an increasing number of businesses are adopting an end-to-end surveillance architecture with well-integrated, purpose-built platforms for handling video data through its lifecycle. This presents significant advantages in terms of security, compliance and scalability, as well as unlocking new possibilities for data enrichment. All of this with a lower total cost of ownership than traditional solutions.
Security teams would typically delete recorded surveillance footage after a few days or weeks
Previously, security teams would typically delete recorded surveillance footage after a few days or weeks. However, thanks to increasingly stringent legal and compliance demands, many are now required to retain video data for months or even years. There’s no doubt that this can potentially benefit investigations and increase prosecutions, but it also puts significant pressure on businesses’ storage infrastructure.
Data lifecycle management
This necessitates a more intelligent approach to data lifecycle management. Rather than simply storing video data in a single location until it’s wiped, an end-to-end video surveillance solution can intelligently migrate data to different storage platforms and media as it ages.
So, how does this work? Video is recorded and analyzed on a combination of NVR, hyperconverged infrastructure (HCI) and application servers. Then, it’s moved to resilient file storage for a pre-determined period, where it can be immediately retrieved and accessed for review. Finally, based on policies set by heads of security, data is moved from file storage to highly secure, low-cost archive storage such as an object, tape or cloud.
| Data is moved from file storage to highly secure, low-cost archive storage |
Long-Term storage
This process is known as tiering. It allows businesses to use reliable, inexpensive long-term storage for most of their data, whilst still enabling security pioneers to retrieve video data when the need arises, such as during a compliance audit, or to review footage following a security breach. In a nutshell, it offers them the best of both worlds.
Scaling your video surveillance infrastructure can be a headache. Businesses that rely on NVRs – even high-end units with 64 or even 96 hard drives – are finding themselves running out of capacity increasingly quickly. In order to scale, security pioneers then have to procure new boxes. With NVRs, this inevitably involves a degree of guesswork. Should they go for the largest possible option, and risk over provisioning? Or perhaps a smaller option, and risk running out of capacity again?
Common management console
Security pioneers can easily add or remove storage capacity or compute resources – separately or together
As businesses add new cameras or replace existing ones, many end up with inadequate surveillance infrastructure made up of multiple NVR boxes along with several application servers for running other surveillance functions such as access control, security photo databases, analytics, etc. This patchwork approach leaves security pioneers scrambling for capacity, maintaining various hardware footprints, repeating updates and checks across multiple systems, and taking up valuable time that could be better spent elsewhere.
By contrast, flexible HCI surveillance platforms aggregate the storage and ecosystem applications to run on the same infrastructure and combine viewing under a common management console, avoiding ‘swivel chair’ management workflows. Plus, they offer seamless scalability. Security pioneers can easily add or remove storage capacity or compute resources – separately or together.
Data storage solutions
Over time, this ensures a lower total cost of ownership. First and foremost, it removes the risk of over provisioning and helps to control hardware sprawl. This in turn leads to hardware maintenance savings and lower power use. Many security pioneers are now looking beyond simple data storage solutions for their video surveillance footage.
Meta tags can provide context around data, making it easier to find and access when needed
Instead, they’re asking themselves how analyzing this data can enable their teams to work faster, more efficiently and productively. Implementing an end-to-end video surveillance architecture enables users to take advantage of AI and machine learning applications which can tag and enrich video surveillance data. These have several key benefits. Firstly, meta tags can provide context around data, making it easier to find and access when needed.
Object storage platform
For instance, if security teams are notified of a suspicious red truck, they can quickly find data with this tag, rather than manually searching through hours of data, which can feel like looking for a needle in a haystack. Plus, meta tags can be used to mark data for future analysis. This means that as algorithms are run over time, policies can be set to automatically store data in the right location.
For example, if a video is determined to contain cars driving in and out of your premises, it would be moved to long-term archiving such as an object storage platform for compliance purposes. If, on the other hand, it contained 24 hours of an empty parking lot, it could be wiped. These same meta tags may be used to eventually expire the compliance data in the archive after it is no longer needed based on policy.
Video surveillance architecture
Continuing to rely on traditional systems like NVRs will fast become unsustainable for businesses
Even if your organization isn’t using machine learning or artificial intelligence-powered applications to enhance your data today, it probably will be one, three, or even five years down the line. Implementing a flexible end-to-end video surveillance solution prepares you for this possibility.
With new advances in technology, the quantity of data captured by video surveillance systems will continue rising throughout the coming decade. As such, continuing to rely on traditional systems like NVRs will fast become unsustainable for businesses.
Looking forward, when moving to an end-to-end video surveillance architecture, security pioneers should make sure to evaluate options from different vendors. For true futureproofing, it’s a good idea to opt for a flexible, modular solution, which allow different elements to be upgraded to more advanced technologies when they become available.