An intelligent scoring method and system for Chinese banquet countertop setting

Abstract

The present invention relates to an intelligent scoring method and system for Chinese banquet table setting. The intelligent scoring system is divided into three levels: the bottom camera hardware subsystem, the middle layer digital image processing algorithm and the presentation layer man-machine interface. The hardware subsystem is used to obtain images of Chinese banquet table tops, and send them to the middle layer data image processing algorithm for processing. Recognition and table setting effect scoring, the man-machine interface of the presentation layer is used for system setting of the intelligent scoring system and displaying the scoring results of the table setting. The invention applies the theory and method of machine vision and artificial intelligence to realize the automation, rapidity, objectification and intelligence of the scoring of the setting effect of Chinese banquet tabletops under a given layout, and completely changes the status quo of completely relying on manual evaluation in this subdivision field .

Description

technical field [0001] The invention belongs to the professional field of tourism and hotel management, and in particular relates to a method and system for intelligently scoring the effect of setting up a Chinese banquet countertop by applying the theory and method of machine vision and artificial intelligence. Background technique [0002] Tourism and hotel management is one of the ten most popular industries in the world. With the development of China's economy and the transition and upgrading of the focus of people's life from "food, housing and transportation" to "recreation and entertainment", the domestic demand for tourism and hotel management professionals is also increasing. Chinese and western food banquet table setting is the basic skill that students majoring in tourism and hotel management must master in the process of personnel training. Most domestic vocational and technical colleges have practical training courses and skills on the theme of banquet table set...

AI Technical Summary

Problems solved by technology

[0003] However, there is a prominent problem at present: the evaluation of the effect of students' stage placement is completed by the training teacher or the competition judges through visual inspection and tool measurement

This fully manual and manual measurement method has the following disadvantages: ① laborious and heavy workload, especially when it is necessary to evaluate the performance of dozens of students at a time, the workload of measurement for teachers or judges is very heavy; ② time-consuming, Measurement and scoring and evaluation take a long time, and the scoring results of the stage setting effect cannot be obtained immediately. It is neither suitable for the needs of various skill competitions to give the results of the competition on the spot, nor can it meet the requirements of modern teaching methods to set up the stage for students in the classroom. Comments on the results and feedback to improve the requirements; ③Low precision, because the distance required in the detailed rules for scoring the table setting effect is required to be accurate to the millimeter level, and manual measurement is difficult to meet such accuracy requirements; ④ Poor stability, and subject to human influence Seriously, different teachers or judges may give different scores for the performance of the same student

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