Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : May 27, 2020 - May 30, 2020
Recently, every retail store has been trying to manage inventory automatically. POS (Point of sale) cash registers implemented at many stores enabled easy management of inventory at each store by automatically managing the exchange of money with customers and sales. However, in current convenience stores, employees do all the replenishing of beverages on display shelves in showcases manually. If employees can replenish their inventory only when needed, it will lead to reduction of labor cost. The purpose of this study is to construct a system that monitors the beverages on the display shelf of a convenience store using a camera and automatically measures the number of beverages. The measurement target is a PET bottle beverage, and here we experiment by using image processing such as feature point detection. This paper reports on the method and evaluation results.
