摘要
随着国家经济发展水平的提高,人们物质需求日益增长,超市购物群众越来越多,提升超市商品管理水平、提高货物管理效率决定大中型超市未来的发展趋势。本文基于类人工智能研究设计了一套货架系统,该系统采用多点分布式组网方案,依靠机器自带的扫码器和触摸屏进行扫码,基于射频识别(Radio Frequency IDentification,RFID)和图像识别技术实现了商品查询和信息显示、商品管理的功能。该智能货架不仅方便超市货物的管理,而且能够节约顾客商品购买时间,提高效率。同时本货架两端还装有两个摄像头进行观察,起到一定的监控防盗功能。
With the improvement of the national economic development level,the people's material demand is increasing day by day,and there are more and more supermarket shoppers.Improving the supermarket commodity management level and improving the efficiency of goods management determine the future development trend of large and medium-sized supermarkets.This paper designs a shelf system based on artificial intelligence.The system adopts the multi-point distributed networking scheme,scans the code by relying on the code scanner and touch screen provided by the machine,and realizes the functions of commodity query,information display and commodity management based on radio frequency identification(RFID)and image recognition technology.The intelligent shelf not only facilitates the management of supermarket goods,but also saves customers'commodity purchase time and improves efficiency.At the same time,two cameras are installed at both ends of the shelf for observation,which plays a certain monitoring and anti-theft function.
作者
单泽隆
林涛
张庆虎
SHAN Zelong;LIN Tao;ZHANG Qinghu(School of Computer and Information Engineering,Nantong Institute of Technology,Nantong Jiangsu 226000,China)
出处
《信息与电脑》
2022年第4期123-125,共3页
Information & Computer
基金
南通理工学院大学生创新创业训练计划项目(项目编号:XDC2021033)
南通市市级科技计划(指导性)项目(项目编号:JCZ20173、MSZ20072)
南通理工学院科研项目(项目编号:2021XK(J)08)。
关键词
智能货架
商品管理
分布式组网
RFID
图像识别
smart shelves
commodity management
distributed networking
RFID
image recognition