Artificial Intelligence
MXM GPUs bring intelligent video analytics to the edge
By Stuart Martin, key account manager - edge AI specialist, Impulse Embedded I
magine a rail operator sitting behind a bank of monitors overseeing a level crossing, or a team of security professionals in an airport checking for abandoned bags. Video analytics have been around for over half a century, but what is changing is the way that the video is analysed.
Where once a human being would be watching multiple screens and determining cause for alarm, more sophisticated artificial intelligence (AI) based intelligent video analytics (IVA) systems are being developed and installed in cities and infrastructure, allowing for the monitoring and processing
of huge amounts of video data 24/7. Academic establishments, construction site safety, smart parking, people counting at festivals, city traffic management and route optimisation — these are all types of applications in which IVA helps organisers and governors ensure safety and smooth operations by accurately processing volumes of information and alerting of incidents or imminent danger. But intelligent video analytics expands beyond reactive monitoring of activities. For instance, when combined with technologies such as RADAR and LIDAR,
IVA is being used for applications like advanced driver-assistance systems (ADAS) to further autonomous driving capabilities and safety.
With such a rich set of tools and deep learning libraries available for developers involved in video image recognition, the applications for intelligent video analytics are almost boundless. As camera resolution and quantity increases so does the volume of data being processed, and to process this on the edge requires a powerful GPU in a compact, often rugged package.
Discreet GPU cards
The world of intelligent video analytics moves fast. Traditionally speaking, and by ‘traditionally’ we’re talking less than five years ago, IVA has depended on discreet GPU cards installed in desktop PCs or workstations, or in rack-mount server farms for larger installations, to process the resource-hungry AI algorithms on which IVA applications are based.
This arrangement, with cameras on the edge sending data back to a central control room where it is processed, is a perfect setup for many IVA applications.
32 December/January 2022
Components in Electronics
www.cieonline.co.uk
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