基于AI的新零售商铺人流密度监测系统设计  

Design of Pedestrian Density Monitoring System for New Retail Stores Based on AI

作　　者：张珣[1] 薛云哲 ZHANG Xun;XUE Yun-zhe(Institute of Modern Circuits and Intelligent Information,Hangzhou Dianzi University,Hangzhou 310018,China)

机构地区：[1]杭州电子科技大学现代电路与智能信息研究所,浙江杭州310018

出　　处：《软件导刊》2021年第6期149-154,共6页Software Guide

摘　　要：随着传统零售商超规模不断增大、服务质量不断提升,各种大型用电设备的电能过度消耗成为商铺运营期间不可避免的问题。传统零售商铺机械式的定时开关电源无法有效控制电能的过度消耗,智能零售商铺的关键技术是智能组网,可利用深度学习网络构建人流密度预测与分析模型,并通过智能人流统计算法对各大型耗电设备进行智能自动调控。相比传统零售商铺,基于深度学习与智能组网的新零售商铺可降低电力资源的过度损耗,节省人力资源。With the increasing scale of traditional retailers and the continuous improvement of service,the excessive power consumption of various large-scale electrical equipment has become an inevitable problem during shop operation.The mechanical timing switching power supply of traditional retail shops can not effectively control the excessive consumption of electric energy.The key technologies of intelligent retail stores are intelligent networking,intelligent retail stores can effectively carry out intelligent automatic regulation and control of large-scale power consumption equipment through intelligent pedestrian flow statistical algorithm,and construct the prediction and analysis model of pedestrian flow density by using deep learning network.Compared with the traditional retail stores,the new retail stores relying on deep learning and intelligent networking can reduce the excessive loss of power resources and save human resources.

关 键 词：AI 新零售 人流密度监测 反向传播网络 深度学习网络 

分 类 号：TP303[自动化与计算机技术—计算机系统结构]