Tableware shape-based valuation method for dishes automatic identification system

An automatic recognition system and dish technology, applied in character and pattern recognition, calculation, payment system structure, etc., can solve the problems of recognition, extraction, etc., achieve the effect of low cost and guarantee the spatial structure relationship

Inactive Publication Date: 2016-11-09
HANGZHOU HUICUI INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the limited combination of tableware colors and shapes, there are often more dish styles than tableware styles, and it is impossible to identify dishes individually and extract dish information, such as printing nutritional information, dish recipe information, etc., which are also limited in application.
[0011] The above-mentioned existing settlement methods based on image recognition still do not have a solution that can solve the above-mentioned problems

Method used

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  • Tableware shape-based valuation method for dishes automatic identification system
  • Tableware shape-based valuation method for dishes automatic identification system

Examples

Experimental program
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Embodiment example

[0064] As an embodiment of the present invention, according to figure 1 Shown flow chart, a specific implementation case of the present invention is as follows:

[0065] 1) Place the plate containing the dishes in the detection area to obtain the image of the plate.

[0066] 2) Select the color channel with the obvious edge line of the dish container; use the canny operator to extract the edge line in the image based on pixels; connect the breakpoints of the edge line on the same circumference (here the container is a circle); sift out the small ones Edge line; connect the breakpoint on the same circumference again.

[0067] 3) Obtain the minimum circumscribed circle area of ​​the peripheral edge line as the area of ​​interest.

[0068] 4) Traverse the area of ​​interest, and use the area of ​​interest with a specific area range (the area of ​​the dish area has a certain range) as the target area.

[0069] 5) Cut the target area, that is, the container area, from the origin...

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Abstract

The invention discloses a tableware shape-based valuation method for a dishes automatic identification system. Dishes are identified through containers as mediums. The method provided by the invention comprises the steps of segmenting the dishes in dinner plates by screening shapes and area characteristics of dishes regions in shot dinner plate images; and then obtaining a classifier by training a convolutional neural network, and directly identifying dishes images to realize dishes identification. Compared with an existing method that is used for only identifying the containers through chips or colors and has limitations of the containers, the tableware shape-based valuation method has the advantages that special tableware does not need to be used as the container, so that the cost is relatively low; and the dishes do not need to be put in the corresponding containers, so that an error introduction factor caused by the fact that the dishes have to be put in the corresponding containers is eliminated.

Description

technical field [0001] The present invention relates to the fields of machine vision and machine learning, and more specifically relates to a pricing method for an automatic dish recognition system based on the shape of tableware. The present invention can be widely used in canteens, fast food restaurants and other places that provide self-service meal selection and settlement services . Background technique [0002] As the pace of urban life continues to accelerate, people are increasingly using various types of fast food to solve the problem of "food". Then choose and settle by queuing up to swipe your card or cash settlement. And how to calculate the price of the selected dishes, there are two kinds of manual pricing and automatic pricing in the existing technology. Due to the increase in the number of diners, the efficiency of manual meal delivery and price calculation is low. During the peak consumption period, the slow settlement speed often leads to queuing phenomen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q20/14G06K9/62G06Q50/12
CPCG06Q20/145G06Q50/12G06F18/285
Inventor 周柔刚周才健许允迪
Owner HANGZHOU HUICUI INTELLIGENT TECH CO LTD
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