Intelligent prompting method and system of ordering machine

Abstract

The invention provides an intelligent prompting method and an intelligent prompting system of an ordering machine. The ordering machine is provided with an image acquisition device. A sensor is arranged on a seat and used for acquiring biological attribute information of customers, the normal food intake of the customer is speculated according to the biological attribute information of the customer, ordered total food materials are obtained according to the quantity of ordered food of the customer and the food material quantity of each dish, the ratio of the total food quantity of all customers to the total food material quantity is calculated, and whether the food ordering quantity is enough or not is judged. If the ordering quantity is insufficient, matched food materials or adding foodmaterials are recommended according to the ordered food materials. If the food ordering quantity exceeds the food intake of the customer, the customer is reminded of possible waste, and how to removerepeated dishes is recommended. According to the method, a proper amount of food can be deduced according to customer information. Obvious insufficient food or waste due to excessive food ordering ofcustomers are avoided. The targeted food adding or removing recommendation can be carried out according to the insufficient food and the excessive food ordering. The requirements of customers are effectively met, and food is also saved.

Description

technical field [0001] The invention relates to the technical field of computer applications, in particular to an intelligent prompting method and system for a meal ordering machine. Background technique [0002] With the development of technology, when we go to a restaurant to eat, the ordering process is automated with machine assistance, which can reduce a lot of labor for waiters. Generally, after people are seated, they can order food through the automatic ordering machine on the dining table. After the completion, there will be a waiter to deliver the food. In the process of ordering food, the current ordering machine does not consider whether the quantity ordered by the customer is sufficient, or whether the quantity ordered exceeds the consumption of the customer, resulting in waste and other issues. Even if the excess consumption can be reminded, there is currently no more specific solution for the ordering machine to optimize the excess. The present invention pro...

AI Technical Summary

Problems solved by technology

During the ordering process, the current ordering machine does not consider whether the number of meals ordered by customers is sufficient, or whether the number of meals ordered exceeds the consumption of customers, resulting in waste and other issues

Even if it is possible to remind the excess consumption, there is currently no more specific solution for the ordering machine to optimize the excess portion

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