IoT based Smart Retail System with Social Distancing for Covid19 Outbreak

Abstract

Covid19 pandemic caused by infection with the severe acute respiratory syndrome corona virus2 is continuously spreading all over the world. The impact of covid19 has been fallen on almost all sectors of development including retail which plays a major role in day to day life. In this paper, we proposed an efficient methodology to create a safe environment of people in retail that contributes to public safety. The proposed smart retail system is focused on the real time monitoring of shopping malls which includes grocery, departmental stores, clothing shops, jewellery shops and shops with food essential products. At first a Mobile Application is developed using Android Studio for prebooking of shopping by users/customers. Using Anaconda Navigator a deep learning trained architecture is developed on distinguishing people with and without face mask. A wearable device is developed using ultra wide band radio technology to ensure safe social distancing which would alert customers as soon as the violation of social distancing is detected. The smart retail system also includes IoT based smart shopping cart with RFID sensors for the customers to check for the availability of items in the web server via Nodemcu and for automatic bill payment. The proposed methodology is also suitable for Religious places, Cinema Theatre, Training centres and Browsing centres.