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

Intrusion detection in the 3D space demo at Urban Mill

The intrusion detection in the 3D space function provided by XTrust and built within the D-SenS project is shown as a live and permament demo till the end of august 2014 at the Urban Mill.

The intrusion detection in the 3D space application has been thought principally for asset protection, but its presence at the Urban Mill may sugggest different applications, for instance in the area of safety. Urban Mill brings togheter the research and innovation actors of built environment development, ubiquitous & responsive city ICT, urban services and urban life transformation.

XTrust is a consortium member of the EU funded project: ”Depth Sensing Systems for People Safety”. D-SenS is a research project founded by EU for the benefit of SMEs (Small and Medium Enterprises). The D-Sens-project is aimed to provide a common technology platform together with some of the principal European research institutes. By developing more accurate and robust computer vision (CV) systems with the use of depth sensor in addition to regular cameras we aim to create some innovative but “market ready” applications.

The Project Objectives

Sensing in depth is going to be the next generation for machine vision applications. It is not just about detecting, tracking of a lot of different objects in changing environment.

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