require an additional 38GW by 2028 – AI will help find new efficiencies and discover sources of waste . As data centres enter their critical entity era , AI will play a crucial role in supporting the
Sienna Cacan , Global Enterprise Segment Marketing Manager at Axis Communications essential security and safety functions of these sites .
Video data is now a rich resource for AI analysis . A camera is potentially the strongest sensor a business could employ , generating millions of data points multiple times every second . Every pixel can be isolated and analysed , a single camera view split into numerous points of interest to allow one camera to perform multiple jobs at once . Objectbased analytics can detect , track and classify items within a scene , and trigger automated processes based on easily defined rules . Cameras are versatile , and their applications are almost limitless .
Leveraging existing technology for new opportunities
If a camera can see something , AI can act on it . Through Deep Learning , it is
possible to develop custom reactive applications that offer new solutions to old problems or identify new problems before it is too late to act . In contrast to the heavy AI workloads that underpin the rapid growth of data centres , properly trained AI models allow such analytics applications to run directly on the network Edge , within the very camera hardware they rely on .
That means a camera already in use for security could enhance its abilities , using AI analytics to identify unauthorised personnel in sensitive areas and automatically sound the alarm , or detect and alert operators to suspicious activities like loitering or break-ins . But it also means that same camera could do more – it could integrate with an access control system to detect tailgating , or work in tandem with a thermal camera to offer operators a live view of any hot
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