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Virtual machines count footfall in shopping malls

How virtual machines count footfall

This is how it's done | Video analytics | Virtual counting in action | Find out more

23 July 2021
As well as people counting hardware, we also offer virtual machines to monitor footfall, dwell time, occupancy and count vehicles. A virtual machine is where a software program behaves like an actual "machine" - replacing people counting hardware. Customers simply run our Virtual Machine application on their host computer or server.

The Virtual VT Machines can be deployed almost anywhere, regardless of the operating system or configuration of its host. They analyse a video feed and count the people passing through it.

Virtual machine computing is becoming more and more widespread because of the convenience of cutting down the need for physical hardware and making systems independent.

The Virtual VT makes the counts available in real-time to our reporting dashboards or to clients' own systems. It can be part of an IoT system and runs, for example, in VMware, Virtual Box and Hyper V.

What are Video Analytics?

Video analytics means the computerised analysis of video streams. The Virtual VT footfall counter performs real-time analysis of the video for immediate detection and counting of people. During setup, video and analysis can be streamed to a central computer where the settings and counts can be seen.

Our image processing algorithms are over 98% effective at counting people entering and leaving counting zones.

Virtual Counting in Action

Spanning 2 million square feet and featuring 270 stores, Yorkdale is a premier retail destination in Canada. The Toronto shopping centre is now using virtual machines from Retail Sensing to monitor large goods vehicles into their loading area.

Yorkdale Shopping Mall
Recording numbers of goods vehicles at the Yorkdale Shopping Mall in Toronto

Find out more

If you would like more information on virtual devices to count people, please e-mail, telephone +44 (0)161 839 6437 or fill in this form.

Photo credits: Rina Pitucci CC BY-ND 2.0, Rberchie CC BY-SA 4.0.