Delicode Ltd introduces a corona risk estimator for retail stores

Julius Tuomisto

Urban Mill based computer vision and machine learning agency Delicode Ltd CEO Julius Tuomisto explains here how the company configured its computer vision people tracking service into a solution for preventing the corona disease from spreading in retail stores.

– The pandemic is hitting brick and mortar particularly hard and therefore also impacts companies (such as ourselves) providing technological solutions for retail.

We turned one of the basic features of our Signals computer vision people sensing and tracking service – the capability to count incoming traffic – in to a (SARS-CoV-2) risk estimator for our retail customers.

For example the German government currently proposes that a distance of 1,5m should be maintained between individuals, which (with simplification) would mean that a store of 900m2 can at maximum hold ca. 100 people in it, for everyone to, in theory, be able to maintain a safe distance to each other.

With Signals devices at store entry points by entering values for the max allowance and an estimate of the average dwell time in the store, the manager will have an estimate of the amount of people in the store, how many people can still enter the store safely or when the next window to enter the store will be at in case the max threshold has been passed. Resulting data is offered as embeddable HTML5 widgets and push messages to employees’ mobile devices.

Stay home if you can, but stay safe if you cannot. Signals is available internationally through Delicode’s partner Toshiba Global Commerce Solutions.
#brickandmortar #retailtech #staysafe

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