Intelligent kitchen management system, data processing method thereof and medium

Abstract

The invention discloses an intelligent kitchen management system. The system comprises an intelligent ordering module which records the ordering information according to face recognition information of diners, manages diner information, food reservation information, consumption information and performs kitchen management optimization; a nutrition analysis module which is used for performing food nutrition analysis on the ordering information of the diner; an optical disk identification module which adopts an intelligent weighing technology, an intelligent image identification technology and an artificial intelligence identification technology to judge whether an optical disk exists or not; a big data analysis module which analyzes meal sales conditions and kitchen management optimization schemes according to the ordering information, analyzes dinning habits, nutrition and health and satisfaction evaluation of diners according to the dinning information, and analyzes the types of optical disc meals, the number of optical discs, the number of diners and the dinning time period according to the optical disc data. According to the system, the optical disk action is effectively converted into measurable, recordable, traceable and landing actions from the original awareness propaganda level, so that the environmental awareness of diners is improved, carbon emission is reduced, and the cost of restaurant management is optimized and reduced.

Description

technical field [0001] The invention relates to the technical field of intelligent kitchen management, in particular to an intelligent kitchen management system, a data processing method and a medium thereof. Background technique [0002] In the current enterprise or institution staff, student canteens, and profit-oriented restaurants, self-service, set meals, and window are the three traditional ordering modes that are more common. Among them: self-service mode: the waiter orders dishes by portion and puts them at the window, and customers take dishes by portion according to their preferences, and put them on the tray. Set meal mode: select the dishes in the prescribed set meal, and the waiter prepares the dishes, and the cashier settles according to the price of different set meals; window mode: diners line up at multiple windows to choose dishes, and the waiters order the dishes. The waiter calculates the total and reminds diners to settle. [0003] In the above three o...

AI Technical Summary

Problems solved by technology

[0003] In the above three ordering modes, most of them use manual settlement, which leads to inaccurate settlement, lack of functions for analyzing related information such as meal sales, back kitchen management, and post-meal food waste, and the judgment of post-meal CD-ROM It is limited to diners taking pictures and uploading WeChat applets by themselves, which cannot achieve continuous, effective and accurate data recording, measurement and judgment, and cannot truly achieve the goal of strict conservation and low-carbon environmental protection

[0004] In the past two years, there have been self-checkout systems developed based on RFID radio frequency technology in the market, but when the system is actually applied, it is necessary to

Images