SOCIAL DISTANCING AND SAFETY DETECTION USING ARDUINO

To deal with the worldwide Covid-19 pandemic situation, flattening the curve for the number of coronavirus cases will be difficult if the citizens do not take actions to prevent the virus from spreading.One of the main and most effective measures to contain the recent viral outbreak is the maintenance of the so-called Social Distancing (SD). To comply with this constraint, governments are adopting restrictions over the minimum inter-personal distance between people. Given this actual scenario, it is crucial to massively measure the compliance to such physical constraint in our life, in order to figure out the reasons of the possible breaks of such distance limitations, and understand if this implies a potential threat. To this end, we introduce the Visual Social Distancing (VSD) problem, defined as the automatic estimation of the inter-personal distance from an image, and the characterization of related people aggregations. VSD is pivotal for a non-invasive analysis to whether people comply with the SD restriction, and to provide statistics about the level of safety of specific areas whenever this constraint is violated.With the detection of unsafe distances between people, alerts or warnings can be sent to keep that distance safe. Distance is measured between the central points and the overlapping boundary that separates persons within the segmented tracking area.