Smart Trolley with Position Localization Method Based on QR Code Mapping using Computer Vision and Internet of Things

Abstract

COVID-19 pandemic has made an enormous change in various aspects of society. One of it, is limitation to number of people in public place and physical contact called social distancing. Supermarket is one of the places affected by social distancing to minimize the spread of the virus. Trolley is one of the tools that mainly available to ease shopping process in supermarket but also the one that mainly get direct physical contact during shopping process. Therefore, as the world adapts with this condition, it is needed to develop a smart trolley that can help minimizing the spread of COVID-19 by reducing direct physical contact without abandoning customer satisfaction while shopping in supermarket. This smart trolley will automatically follow a specific customer using position localization method based on QR code mapping. The localization was implemented using computer vision while customer-following movement command distribution was implemented using IoT. By using unique and specific QR code, it will prevent wrong customer detection and wrong position mapping thus making this a reliable tracking mechanism and a reliable autonomous customer following system.