智能超市自助售卖系统设计与实现  

Design and Implementation of Self-Service Smart Supermarket System

作　　者：杨易润 刘钰 李信源 杨天乐 YANG Yirun;LIU Yu;LI Xinyuan;YANG Tianle(School of Computer Engineering,Jinling Institute of Technology,Nanjing,China,211169)

机构地区：[1]金陵科技学院计算机工程学院,南京211169

出　　处：《福建电脑》2024年第1期82-88,共7页Journal of Fujian Computer

基　　金：江苏省大学生创新训练计划重点项目(No.202313573024Z)资助;江苏省重点实验室数据科学与智慧软件平台支持。

摘　　要：随着自助购物已成为零售业的发展趋势,为满足消费者日益增长的购物需求,本文设计并实现了一款自助售卖系统。该系统具有可视化界面,采用Jetson Nano硬件平台,通过训练深度学习模型实现果蔬分类。实验结果表明,MobileNetV2网络分类准确率达到98.65%,相较于传统CNN卷积神经网络模型,准确率提高了2.13%,模型大小减小了20.54%,具有较为显著的优化效果。To meet the growing shopping needs of consumers,self-service shopping has become a development trend in the retail industry.This article designs and implements a self-service sales system with a visual interface,using the Jetson Nano hardware platform to train deep learning models for fruit and vegetable classification.The experimental results show that the classification accuracy of MobileNetV2 network reaches 98.65%.Compared with traditional CNN convolutional neural network models,the accuracy is improved by 2.13%,and the model size is reduced by 20.54%,showing significant optimization effects.

关 键 词：智慧超市 自助售卖 嵌入式系统 深度学习 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]