QR Code Based Smart Dining System

Syed Ramees, Urmila PIllai, Abitha Abbas
{"title":"QR Code Based Smart Dining System","authors":"Syed Ramees, Urmila PIllai, Abitha Abbas","doi":"10.55248/gengpi.5.0424.0929","DOIUrl":null,"url":null,"abstract":"— In a restaurant's traditional way of ordering meals, customers first browse through the menu of the restaurant and then wait for a waiter to come and take orders. This procedure can be slow during busy hours and can reduce customer satisfaction. It is therefore susceptible to errors made by humans. Automated systems can be used to automate procedures by eliminating errors made by humans, reducing paper waste, and making ordering processes more time-and cost-effective. There have been numerous attempts to automate the ordering process in restaurants in recent years. The method we propose in this paper is that accessing the QR code for the ordering of the food in the restaurant. With smartphones, the customer can scan the QR code which is set on the table, and open the current menu to order the food. Upon ordering, the notification will be delivered to the kitchen and the cashier along with the table number. The current menu and offers will be updated on this menu. The Robot can deliver food. This method ensures time and customer satisfaction with Restaurant. Also, the implementation cost is less.","PeriodicalId":398311,"journal":{"name":"International Journal of Research Publication and Reviews","volume":"237 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Research Publication and Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55248/gengpi.5.0424.0929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

— In a restaurant's traditional way of ordering meals, customers first browse through the menu of the restaurant and then wait for a waiter to come and take orders. This procedure can be slow during busy hours and can reduce customer satisfaction. It is therefore susceptible to errors made by humans. Automated systems can be used to automate procedures by eliminating errors made by humans, reducing paper waste, and making ordering processes more time-and cost-effective. There have been numerous attempts to automate the ordering process in restaurants in recent years. The method we propose in this paper is that accessing the QR code for the ordering of the food in the restaurant. With smartphones, the customer can scan the QR code which is set on the table, and open the current menu to order the food. Upon ordering, the notification will be delivered to the kitchen and the cashier along with the table number. The current menu and offers will be updated on this menu. The Robot can deliver food. This method ensures time and customer satisfaction with Restaurant. Also, the implementation cost is less.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于 QR 码的智能餐饮系统
- 在餐厅的传统点餐方式中,顾客首先浏览餐厅的菜单,然后等待服务员前来点餐。这种程序在繁忙时段可能会很慢,而且会降低顾客满意度。因此很容易出现人为错误。自动化系统可以消除人为错误,减少纸张浪费,使点菜过程更加省时省钱,从而实现程序自动化。近年来,已有许多餐厅尝试将点餐流程自动化。我们在本文中提出的方法是在餐厅点菜时使用二维码。顾客可以用智能手机扫描餐桌上的二维码,打开当前菜单点菜。点餐后,通知会连同桌号一起发送给厨房和收银员。当前菜单和优惠信息将在菜单上更新。机器人可以送餐。这种方法可确保时间和顾客对餐厅的满意度。此外,实施成本也较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Lip Reading using computer vision techniques and deep learning algorithms for Deaf and Dumb People A Comparative Study of the Use of Instructional Materials, Availability and Utilization in Tertiary Institutions in Kwara State and Kogi State, of North Central Nigeria Phytochemical Screening and Antimicrobial Studies of Unripe Coconut Fluid (Cocus nucifera L) Voice-Based Email System for Visually Impaired QR Code Based Smart Dining System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1