基于图像检测和声纹检测的自主餐厅服务系统

S. Dasgupta, Madhurupa Samaddar, C. Yogalakshmi, K. Vijayan, Subhiksha
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引用次数: 0

摘要

近年来,酒店管理在商业会议和餐饮连锁中扮演着相当重要的角色。目前,在印度,许多食品连锁店正在耗尽,许多食品连锁店也在国际上经营。这些连锁店最重要的一个方面是客户管理和客户满意度。该项目的第一部分旨在智能地预测客户的选择和个人细节。这种预测是通过声音识别来完成的,其中检测到一个人的声纹,以访问该人的数据库,该数据库由他/她以前的订单和菜单的特殊变化组成。这有助于了解一个人对某些特定食物的过敏反应,并为该人提供可定制的菜单。这将极大地帮助管理客户数据库和客户满意度,以及维护个人隐私。项目的第二部分涉及到使用图像处理的食品检测算法,使蔬菜和非蔬菜食品不会混淆,正确的桌子收到正确的顺序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous Restaurant Serving System using Image Detection and Voiceprint Detection in Android Application
In recent times hotel management has been pretty important when it comes to business meets and food chains. Currently in India multiple food chains are running out of which many food chains are running internationally too. One of the most important aspects of these chains is the management of customers and customer satisfaction. The first part of this project aims at intelligently predicting the choices and the personal details of the customer. This prediction is done through voice recognition where the voiceprint of a person is detected to access the database of the person which consists of his/her previous orders and special changes in the menu. This helps in knowing about the allergic reactions of a person to some specific food items and a customizable menu can be provided to the person. This would greatly help in management of customer databases and customer satisfaction as well as maintenance of the privacy of the person. The second part of the project deals with the food item detection algorithm using image processing so that veg and non veg food items do not get mixed up and the correct table receives the correct order.
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