AI Technology

AI: How it’s Impacting Surveillance Data Storage

Our thirst for data is great. Our desire to be connected, at all times, means that by 2025 an average connected person will interact with connected devices one interaction every 18 seconds. The stat includes using smart home security, smart TVs and more – nearly 4,800 times a day. That’s modern AI for you. But how is AI impacting surveillance data storage?

As our world becomes increasingly connected, the vast amounts of data being created are also enabling us to refine and improve systems and processes. We are seeing this from security through to smart cities and AI. This is true in the surveillance space too. Data is being analyzed more than ever before to provide new and valuable insights.

Opening up new opportunities

By analyzing data and distilling it into actionable intelligence, businesses can increase security and improve operations. They can also introduce unique user experiences and mitigate potential risks. This opens up a whole new world of business opportunities. This, ultimately, is the true value of data generated by surveillance cameras, sensors, and systems.

Data gathered from AI-enabled security systems provides a whole host of benefits. For example, manufacturers can recognize operational inefficiencies in production lines and make immediate adjustments. Medical staff at hospitals can recognize unusual trends in a patient’s health and take action to significantly reduce mortality. Retailers can better understand their customer’s behavior as well as peak hours for foot traffic.

Going a level deeper, AI also enables intelligent real-time video analysis from a security standpoint. Moving away from the reactionary use of most video technology, forward-thinking organizations can now use their surveillance devices as a more proactive tool that enables preemptive action.

AI allows security integrators and end-users to identify specific events and triggers in the footage. With this knowledge and insight, they can gather more accurate alerts and forensics, dramatically reducing the time to act and analyze the video manually.

New Frontiers in Surveillance Storage

By building AI into video systems, this enables them to process, analyze and recognize patterns on-site in real-time at the edge. This eliminates dealing with the latency associated with transferring data and video off-site for analysis.  What has spurred this AI evolution, particularly in edge video surveillance applications, is significantly cheaper and faster GPUs with practically limitless storage.

Hard disk drives (HDD) must be capable of writing data at high speeds to keep up with these AI applications and simultaneously support both AI and video workloads.

In addition to this increased adoption of GPUs, we are seeing the utilization of software-defined storage technology. This enables the rapid creation and migration of edge storage environments at the point where live data and big data analytics intersect. This enables them to then meet the need of local and mobile analytic workloads. The growing amount of data created across the IoT universe in a mobile, real-time world is a fundamental driver of edge storage.

Storage solution providers are responding to the requirement for edge-based processing and analysis by developing drives that offer all the associated benefits. High throughput and enhanced caching ensure these drives deliver low latency and excellent read performance. This enables them to quickly locate and deliver video images and footage analysis that doesn’t require the power of an off-site datacenter.

Selecting the Right Hard Drive

There is a need for more advanced and cost-effective storage options. These options must be optimized for machine learning, deep learning, high-resolution video, and advanced analytics streaming. This means end-users and systems integrators alike are looking for reliable, high-capacity drives.

These drives must also be purpose-built for surveillance to support multiple cameras, and 24/7 availability. They must also have the capability to maximize streaming and frame rate performance.

Deploying the right recording and storage solution for the correct purposes is critical. Video is becoming a crucial component in the security setup of all businesses. Loss of any data or video integrity is simply not an option anymore. Additionally, storing more data for longer lengths of time is necessary for AI systems to become “smart.”

This also increases its predictive analytics capabilities. With all these factors in mind, there are a few best practices integrators can employ to ensure they are selecting the most appropriate hard disk drive for a particular customer application. They must also look after the workload associated with it – to ensure long-term success.

What’s next?

The ever-growing datasphere has led to advanced and creative uses for the video and data generated by connected devices.  Analyzing this virtual sea of data can generate actionable intelligence in real-time to enable proactive actions. These actions can mitigate or prevent a security issue from occurring, streamline operational processes, improve customers’ retail experience and more.

Among all this data, video plays a key role. AI-enabled surveillance storage solutions enable faster, more accurate analysis organizations need to quickly adapt to achieve their security and business objectives.

However, it is vital that integrators carefully evaluate solutions based on the criteria that will impact their performance for the workload specifications of each customer and application. Purpose-built drives with advanced technologies to allow both video streaming and AI analysis ensure the best possible drive reliability and performance.

They also deliver optimal TCO and the most valuable, actionable intelligence possible.

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