WO2020233585A1

WO2020233585A1 - Food settlement method and device, and computer-readable storage medium

Info

Publication number: WO2020233585A1
Application number: PCT/CN2020/091204
Authority: WO
Inventors: 朱雁锋; 霍紫健; 刘威云; 吴志勇
Original assignee: 深圳市恒天伟焱科技有限公司
Priority date: 2019-05-21
Filing date: 2020-05-20
Publication date: 2020-11-26
Also published as: CN110264176A

Abstract

The present application discloses a food settlement method, the food settlement method is applied to a food settlement device, the food settlement device comprises an image acquisition module and a weight sensor, the weight sensor is configured to acquire the weight of food, and the food settlement method comprises the following steps: acquiring an image, acquired by the image acquisition module, corresponding to food to be purchased, and acquiring the weight of the food acquired by the weight sensor; determining the type of the food according to the image; and determining the price of the food according to the type of the food and the weight of the food, and outputting the price. The present application further discloses a food settlement device and a computer-readable storage medium.

Description

Food settlement method, device and computer readable storage medium

Related application

This application claims the priority of the Chinese patent application filed on May 21, 2019, with the application number 201910428316.3, titled "Food Settlement Method, Apparatus, and Computer-readable Storage Medium", the full text of which is incorporated herein by reference.

Technical field

This application relates to the technical field of food settlement, and in particular to a food settlement method, device and computer-readable storage medium.

Background technique

As the pace of people's lives accelerates, people have less and less time to cook, basically buying food out to solve the problem of three meals.

After people buy food, the cashier needs to scan the graphic code on the food to know the price of the food, or the cashier recognizes the food to calculate the price, and the labor cost of food settlement is higher.

Summary of the invention

technical problem

The solution to the problem

Technical solutions

The main purpose of this application is to provide a food settlement method, device, and computer-readable storage medium, aiming to solve the problem of high labor costs in food settlement.

In order to achieve the above objective, the present application provides a food settlement method, the food settlement method should be set as a food settlement device, the food settlement device includes an image acquisition module and a weight sensor, and the food settlement method includes the following step:

Acquiring an image corresponding to the food to be purchased collected by the image collection module, and acquiring the weight of the food collected by the weight sensor;

Determining the type of the food according to the image;

The price of the food is determined according to the type of the food and the weight of the food, and the price is output.

In an embodiment, the step of determining the price of the food according to the type of the food and the weight of the food includes:

Determining the unit price of the food according to the type of the food;

The price of the food is determined according to the unit price of the food and the weight of the food.

In an embodiment, after the step of determining the price of the food according to the type of the food and the weight of the food, the method further includes:

Judging whether the food is placed in a food dish according to the image;

When the food is not placed in the food dish, the step of determining the price of the food according to the unit price of the food and the weight of the food is performed.

In an embodiment, after the step of judging whether the food is placed in a food dish according to the image, the method further includes:

When the food is placed in the food dish, determining the weight of the food dish;

Correcting the weight of the food according to the weight of the food dish to obtain the corrected weight;

The price is determined according to the corrected weight and the unit price of the food.

In an embodiment, the step of determining the weight of the food dish includes:

Obtaining a food dish image in the image;

Determining a pre-stored image matching the image of the food dish;

The weight of the food dish is determined according to the matched pre-stored image.

In an embodiment, the step of determining the food dish includes:

Obtaining a food dish image in the image;

Obtaining identification information of the food dish in the food dish image, wherein the identification information includes at least one of the food dish number, the shape of the food dish, the color of the food dish, the pattern of the food dish, and the material of the food dish;

The weight of the food dish is determined according to the identification information.

In an embodiment, after the step of outputting the price, it further includes:

Obtaining user information corresponding to the user;

The user’s food settlement method is determined according to the user information, wherein the food settlement method includes QR code payment, bank card payment, meal card payment, facial recognition payment, eye recognition payment, fingerprint recognition payment, and WeChat payment And at least one of Alipay payment;

Output the food settlement method.

In an embodiment, after the step of outputting the food settlement method, the method further includes:

When receiving an operation based on the selection of the food settlement method, determine the target food settlement method according to the operation;

The food is settled according to the target food settlement method and the price.

To achieve the above objective, the present application also provides a food settlement device, the food settlement device including an image acquisition module, a weight sensor, a processor, a memory, and a food settlement program stored in the memory and running on the processor When the food settlement program is executed by the processor, each step of the food settlement method described above is realized.

In order to achieve the above objective, the present application also provides a computer-readable storage medium, the computer-readable storage medium stores a food settlement program, and when the food settlement program is executed by a processor, each of the food settlement methods described above is implemented. step.

The food settlement method, device and computer-readable storage medium provided in the present application. The food settlement device acquires the image corresponding to the food to be purchased collected by the image collection module and the weight of the food collected by the weight sensor, and then determines the type of food according to the image, thereby The price of the food is determined according to the type of food and the weight of the food, and finally the price is output, so that the user pays for the food according to the output price; because the food settlement device can determine the price of the food through the image of the food and the weight of the food, and There is no need to manually calculate the price of food, saving the labor cost of food settlement.

The beneficial effects of the invention

Brief description of the drawings

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art.

FIG. 1 is a schematic diagram of the hardware structure of a food settlement device according to an embodiment of the application;

2 is a schematic flowchart of the first embodiment of the food settlement method according to the application;

FIG. 3 is a detailed flowchart of step S30 in FIG. 2;

FIG. 4 is a schematic flowchart of a second embodiment of the food settlement method according to the application.

The realization, functional characteristics, and advantages of the purpose of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Invention embodiment

Embodiments of the invention

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

The main solution of the embodiment of the present application is: acquiring the image corresponding to the food to be purchased collected by the image acquisition module, and acquiring the weight of the food collected by the weight sensor; determining the type of the food according to the image; The type of the food and the weight of the food determine the price of the food, and output the price.

Since the food settlement device can determine the price of the food through the image of the food and the weight of the food, there is no need to manually calculate the price of the food, which saves the labor cost of food settlement.

As an implementation scheme, the food settlement device may be as shown in FIG. 1.

Further, referring to FIG. 1, the food settlement device includes: an image acquisition module 101, a weight sensor 102, a processor 103, such as a CPU, a memory 104, and a communication bus 105. Among them, the communication bus 105 is configured to realize connection and communication between these components.

The memory 104 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a magnetic disk memory. As shown in FIG. 1, the memory 104 as a computer storage medium may include a food settlement program; and the processor 103 may be configured to call the food settlement and delivery program stored in the memory 104 and perform the following operations:

Determining the type of the food according to the image;

In an embodiment, the processor 103 may be configured to call a food settlement program stored in the memory 104 and perform the following operations:

Determining the unit price of the food according to the type of the food;

Judging whether the food is placed in a food dish according to the image;

Obtaining a food dish image in the image;

Determining a pre-stored image matching the image of the food dish;

Obtaining a food dish image in the image;

Obtaining user information corresponding to the user;

Output the food settlement method.

In this embodiment, according to the above solution, the food settlement device acquires the image corresponding to the food to be purchased collected by the image collection module and the weight of the food collected by the weight sensor, and then determines the type of food based on the image, thereby determining the type of food and the weight of the food The price of the food, and finally output the price, so that the user pays for the food according to the output price; because the food settlement device can determine the price of the food through the image of the food and the weight of the food, without manually calculating the price of the food, saving food Settled labor costs.

Based on the hardware architecture of the aforementioned food settlement device, an embodiment of the food settlement method of the present application is proposed.

Referring to Fig. 2, Fig. 2 is a first embodiment of the food settlement method of the application. The food settlement method includes the following steps:

Step S10, acquiring an image corresponding to the food to be purchased collected by the image collection module, and acquiring the weight of the food collected by the weight sensor;

In this application, the executive body is a food settlement device, and the food settlement device is equipped with an image acquisition module. The image acquisition module can be a camera or a camera. After purchasing food, the user can place the food on the tray of the food settlement device. The food settlement device controls the image collection module to collect food to obtain images corresponding to the food. The food can be the food in the restaurant, or the food sold by weight in the mall.

In addition, the food settlement device is also provided with a weight sensor, which is placed under the tray of the food settlement device, and the food to be purchased selected by the user can be placed on the tray, and the image acquisition module is arranged relative to the tray to facilitate the collection of food images.

Step S20, determining the type of the food according to the image;

The food settlement device can determine the type of food according to the image. In one embodiment, when the food is a meal, a corresponding food dish is used for each dish. The food dish can be a ceramic bowl, a stainless steel bowl, etc., which can be loaded with meals. Different dishes can be set differently. The pattern, different patterns, and different shapes of the dishes can be set. Of course, the food dishes can also be numbered. A numbered food dish contains the corresponding dishes or rice. After the user selects the meal, the identity of the food dish can be represented The pattern, shape or number of the food is placed relative to the image collection module of the food settlement device (the food settlement device prompts the user to place food). After the food settlement device collects the image of the food, it can obtain the food dish’s image in the collected image Pattern, pattern, shape or number, so as to determine the type of food according to the pattern, pattern, shape or number of the food dish;

In another embodiment, various food images are stored in the food settlement device, and the stored food images are pre-stored images. After the food settlement device obtains the image corresponding to the food, the pre-stored image whose difference value matches the collected food image can be stored in each pre-stored image. The pre-stored image that matches the image corresponding to the food is the target corresponding to the food. Pre-stored images. The food settlement device can determine the pre-stored image that matches the image corresponding to the food in various ways.

Method 1: The food settlement device is equipped with a similarity calculation program. The food settlement device calculates the first similarity between the collected image and each pre-stored image through the similarity calculation program, and the food settlement device determines the largest first similarity If the maximum similarity is greater than the preset threshold, the pre-stored image corresponding to the maximum similarity is used as the target pre-stored image corresponding to the food. The preset threshold can be any suitable value, for example, 95%. Each pre-stored image has associated information, and the associated information contains the type of food in the pre-stored image. Therefore, the food settlement device can determine the type of food according to the target pre-stored image.

Method 2: The food settlement device may be provided with multiple image acquisition modules, for example, three image acquisition modules may be provided, and each image acquisition module has a different food acquisition angle. When the user places the food on the food settlement device, each image acquisition module simultaneously collects images of the food, and the food does not move during the collection process. Each image acquisition module has a corresponding image acquisition angle. The food settlement device spatially splices each image according to the image acquisition angle to construct a three-dimensional image corresponding to the food, that is, a three-dimensional image of the food. Then, the food settlement device calculates the three-dimensional image The second degree of similarity with the pre-stored image (the pre-stored image is also a three-dimensional image, that is, the dimension of the pre-stored image is the same as the dimension of the image corresponding to the food), and then determine whether the largest second similarity is greater than the preset threshold, if it is greater than If the threshold is preset, the pre-stored image corresponding to the largest second degree of similarity is used as the target pre-stored image corresponding to the food, so that the type of food is determined according to the target pre-stored image. It should be noted that the more image collection modules of different angles set by the food settlement device, the closer the constructed three-dimensional image of the food is to the actual three-dimensional image of the food. It is understandable that the image collection modules of different angles set by the food settlement device The more food, the more accurate the food recognized by the food settlement device.

Step S30: Determine the price of the food according to the type of the food and the weight of the food, and output the price;

After the type of food is determined, the price of the food can be calculated according to the type of food and the weight of the food. Specifically, please refer to FIG. 3, that is, in step S30, the type of food and the weight of the food are determined. The steps of food price include:

Step S31, determining the unit price of the food according to the type of the food;

Step S32, determining the price of the food according to the unit price of the food and the weight of the food;

The food settlement device sets a unit price for each type of food. After the type of food is determined, the unit price of the food to be purchased can be determined according to the type of food. The food settlement device can then calculate the unit price and the weight of the food Get the price of food.

After the price of the food is determined, the price can be output for the user to settle the food. Further, the food settlement device can output multiple payment methods, for example, QR code payment, bank card payment, meal card payment, face recognition payment, eye recognition payment, fingerprint recognition payment, NFC payment (near field communication payment) , WeChat payment, Alipay payment, etc., users can choose the payment method to pay for the price to complete the food settlement. It should be noted that payment methods such as meal card payment, facial recognition payment, eye recognition payment, fingerprint recognition payment and other payment methods require users to pay Member registration. When a user registers a member, the food settlement device will save the user's image, meal card number, phone number, fingerprints entered, and food balance.

The food settlement device can obtain the user information of the user when outputting the price of the food. The food settlement device can determine the user through the image acquisition module, and then obtain the user information of the user, thereby determining the food settlement method the user can choose according to the user information , Food settlement methods include the above-mentioned QR code payment, bank card payment, meal card payment, face recognition payment, eye recognition payment, fingerprint recognition payment, NFC payment (near field communication payment), WeChat payment, Alipay payment, food The settlement device then outputs the user’s food settlement method. For example, if the user has activated fingerprint payment, meal card payment, and facial recognition payment, the food settlement device can output fingerprint payment, meal card payment, and facial recognition payment. Payment method for the user to choose; after the user performs the selection operation, that is, the food settlement device detects the operation based on the selection of the food settlement method, the target food settlement method can be determined according to the operation, and the target food settlement method can be determined according to the target food The settlement method and the price of the food are used to settle the food. For example, if the target food settlement method is facial recognition settlement, the food settlement device collects the user’s face to identify the user, and then deduct the purchase from the balance in the user account The price of food, if the target food settlement method is WeChat payment, the food settlement device will send the food price to the WeChat payment server, so that the WeChat payment server will send the payment request to the user terminal, so that the user can pay for the food based on the user terminal , Thereby completing the food payment.

In addition, when the food settlement device does not recognize the user, it can output regular food settlement methods such as WeChat payment and Alipay payment.

In the technical solution provided in this embodiment, the food settlement device acquires the image corresponding to the food to be purchased collected by the image collection module and the weight of the food collected by the weight sensor, and then determines the type of food based on the image, thereby determining the type of food according to the type of food and the weight of the food. The weight is used to determine the price of the food, and finally the price is output, so that the user pays for the food according to the output price; because the food settlement device can determine the price of the food through the image of the food and the weight of the food, without manually calculating the price of the food, Save the labor cost of food settlement.

Referring to Figure 4, Figure 4 is a second embodiment of the food settlement method of this application. Based on the first embodiment, after the step S31, it further includes:

Step S40, judging whether the food is placed in a pan according to the image;

Step S50, when the food is not placed in the food dish, execute the step of determining the price of the food according to the unit price of the food and the weight of the food, and output the price;

Step S60, when the food is placed in the food dish, determine the weight of the food dish;

Step S70: Correct the weight of the food according to the weight of the food dish to obtain the corrected weight;

Step S80: Determine the price according to the corrected weight and the unit price of the food, and output the price.

Some foods need to be filled with food dishes when eating, such as meals, and some foods can be eaten without the need for food containers, such as melon seeds, peanuts, etc. It is understandable that if the food is placed in the food dish, the food dish has a certain If the food settlement device obtains the weight directly according to the weight sensor, it will inevitably cause the calculated food price to be greater than the actual food price.

After the food settlement device obtains the image of the food, the food settlement device judges whether the food is placed in the food dish based on the image. The food settlement device is provided by the seller. The food settlement device stores the image of the food dish. If the food settlement device recognizes the food in the image If there is a pan, it can be determined that the food is placed in the pan, and the food clearing device stores the weight of the pan, and the food clearing device can obtain the weight of the pan, and then subtract the weight of the pan from the weight of the food on the weight sensor. The actual weight of the food, the actual weight is also the corrected weight, and finally the price of the food is calculated based on the unit price of the food and the corrected weight; and when the food settlement device does not recognize that there is a pan, it can be determined that the food is not placed in the pan , The food settlement device directly calculates the price of the food according to the unit price of the food and the weight of the food collected by the weight sensor.

There are many ways for the food settlement device to determine the weight of the food dish. Specifically, the food settlement device stores the identification information of the food dish. The identification information represents the type of the food dish. The identification information includes the food dish number, the shape of the food dish, the color of the food dish, At least one of the pattern of the food dish and the material of the food dish. The food settlement device can obtain the image of the food dish from the collected image, and then obtain the identification information of the food dish from the image of the food dish. The food settlement device can determine the food dish according to the identification information. The food clearing device stores the weight of each food dish. Therefore, after determining the type of the food dish, the weight of the food dish can be determined according to the type of the food dish.

In addition, the food settlement device can pre-store images of various types of food dishes, and the images of the pre-stored food dishes are the pre-stored images. After the food settlement device obtains the image corresponding to the food, it obtains the image of the food dish from the image, and then calculates the food dish The similarity between the image and each pre-stored image is determined, and then the pre-stored image corresponding to the maximum similarity is determined. If the maximum similarity is greater than the preset threshold, the food dish in the pre-stored image corresponding to the maximum similarity is the food to be purchased. The dish, that is, the pre-stored image is a pre-stored image matched by the image of the food dish, and each pre-stored image is associated with a corresponding weight. Therefore, the food settlement device can determine the weight of the food dish according to the matched pre-stored image.

In the technical solution provided in this embodiment, the food settlement device judges that the food is placed in the food pan according to the image. If the food is not placed in the food pan, the price of the food is directly determined according to the unit price of the food and the weight of the food. In the food dish, the weight of the food needs to be corrected, and then the price of the food is obtained according to the corrected weight so that the unit price of the food is used to avoid inaccurate food price calculations in the food settlement device. The food settlement device is highly intelligent .

The present application also provides a food settlement device. The food settlement device includes an image acquisition module, a weight sensor, a processor, a memory, and a food settlement program stored in the memory and running on the processor. When the program is executed by the processor, each step of the food settlement method described in the above embodiment is realized.

The present application also provides a computer-readable storage medium that stores a food settlement program, and when the food settlement program is executed by a processor, each step of the food settlement method described in the above embodiment is implemented.

The serial numbers of the foregoing embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

It should be noted that in this article, the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, It also includes other elements not explicitly listed, or elements inherent to the process, method, article, or device. Without more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, article, or device that includes the element.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better.的实施方式。 Based on this understanding, the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM) as described above. , Magnetic disk, optical disk), including several instructions to make a terminal device (can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the method described in each embodiment of the present application.

The above are only optional embodiments of this application, and do not limit the scope of this application. Any equivalent structure or equivalent process transformation made by using the description and drawings of this application, or directly or indirectly applied to other related technologies In the same way, all fields are included in the scope of patent protection of this application.

Claims

A food settlement method, wherein the food settlement method should be set as a food settlement device, the food settlement device includes an image acquisition module and a weight sensor, the weight sensor is set to collect the weight of the food, the weight of the food The settlement method includes the following steps:

Acquiring an image corresponding to the food to be purchased collected by the image collection module, and acquiring the weight of the food collected by the weight sensor;

Determining the type of the food according to the image;

The price of the food is determined according to the type of the food and the weight of the food, and the price is output.
The food settlement method according to claim 1, wherein the step of determining the price of the food according to the type of the food and the weight of the food comprises:

Determining the unit price of the food according to the type of the food;

The price of the food is determined according to the unit price of the food and the weight of the food.
The food settlement method according to claim 2, wherein after the step of determining the price of the food according to the type of the food and the weight of the food, the method further comprises:

Judging whether the food is placed in a food dish according to the image;

When the food is not placed in the food dish, the step of determining the price of the food according to the unit price of the food and the weight of the food is performed.
The food settlement method according to claim 3, wherein after the step of judging whether the food is placed in a food dish according to the image, the method further comprises:

After the food is placed in the food pan, determine the weight of the food pan;

Correcting the weight of the food according to the weight of the food dish to obtain the corrected weight;

The price is determined according to the corrected weight and the unit price of the food, and the price is output.
The food settlement method according to claim 4, wherein the step of determining the weight of the food pan comprises:

Obtaining a food dish image in the image;

Determining a pre-stored image matching the image of the food dish;

The weight of the food dish is determined according to the matched pre-stored image.
The food settlement method according to claim 4, wherein the step of determining the food dish comprises:

Obtaining a food dish image in the image;

Obtaining identification information of the food dish in the food dish image, wherein the identification information includes at least one of the food dish number, the shape of the food dish, the color of the food dish, the pattern of the food dish, and the material of the food dish;

The weight of the food dish is determined according to the identification information.
The food settlement method according to claim 1, wherein after the step of outputting the price, it further comprises:

Obtaining user information corresponding to the user;

The user’s food settlement method is determined according to the user information, wherein the food settlement method includes QR code payment, bank card payment, meal card payment, facial recognition payment, eye recognition payment, fingerprint recognition payment, and WeChat payment And at least one of Alipay payment;

Output the food settlement method.
8. The food settlement method according to claim 7, wherein after the step of outputting the food settlement method, the method further comprises:

After receiving an operation completed based on the selection of the food settlement method, determine a target food settlement method according to the operation;

The food is settled according to the target food settlement method and the price.
The food settlement method according to claim 1, wherein the step of determining the type of the food according to the image comprises:

Determine the first degree of similarity between the image and each pre-stored image;

When it is determined that the largest first similarity degree is greater than the preset threshold, the type of the food is determined according to the stored image corresponding to the largest first similarity degree.
The food settlement method according to claim 1, wherein the step of determining the type of the food according to the image comprises:

Determining a second degree of similarity between the image and each pre-stored image, the image and each of the pre-stored images are three-dimensional images;

After determining that the largest second degree of similarity is greater than the preset threshold, the type of the food is determined according to the stored image corresponding to the largest second degree of similarity.
A food settlement device, wherein the food settlement device includes an image acquisition module, a weight sensor, a processor, a memory, and a food settlement program stored in the memory and running on the processor, the food settlement program being The processor implements the following steps when executing:

Acquiring an image corresponding to the food to be purchased collected by the image collection module, and acquiring the weight of the food collected by the weight sensor;

Determining the type of the food according to the image;

The price of the food is determined according to the type of the food and the weight of the food, and the price is output.
The food settlement device according to claim 11, wherein the following steps are implemented when the food settlement program is executed by the processor:

Determining the unit price of the food according to the type of the food;

The price of the food is determined according to the unit price of the food and the weight of the food.
The food settlement device according to claim 12, wherein the following steps are implemented when the food settlement program is executed by the processor:

Judging whether the food is placed in a food dish according to the image;

When the food is not placed in the food dish, the step of determining the price of the food according to the unit price of the food and the weight of the food is performed.
The food settlement device according to claim 13, wherein the following steps are implemented when the food settlement program is executed by the processor:

After the food is placed in the food pan, determine the weight of the food pan;

Correcting the weight of the food according to the weight of the food dish to obtain the corrected weight;

The price is determined according to the corrected weight and the unit price of the food, and the price is output.
The food settlement device according to claim 14, wherein the following steps are implemented when the food settlement program is executed by the processor:

Obtaining a food dish image in the image;

Determining a pre-stored image matching the image of the food dish;

The weight of the food dish is determined according to the matched pre-stored image.
The food settlement device according to claim 14, wherein the following steps are implemented when the food settlement program is executed by the processor:

Obtaining a food dish image in the image;

Obtaining identification information of the food dish in the food dish image, wherein the identification information includes at least one of the food dish number, the shape of the food dish, the color of the food dish, the pattern of the food dish, and the material of the food dish;

The weight of the food dish is determined according to the identification information.
A computer-readable storage medium, wherein the computer-readable storage medium stores a food settlement program, and when the food settlement program is executed by a processor, the following steps are implemented:

Acquiring an image corresponding to the food to be purchased collected by the image collection module, and acquiring the weight of the food collected by the weight sensor;

Determining the type of the food according to the image;

The price of the food is determined according to the type of the food and the weight of the food, and the price is output.
17. The computer-readable storage medium of claim 17, wherein the food settlement program is executed by the processor to implement the following steps:

Determining the unit price of the food according to the type of the food;

The price of the food is determined according to the unit price of the food and the weight of the food.
18. The computer-readable storage medium of claim 18, wherein the food settlement program is executed by the processor to implement the following steps:

Judging whether the food is placed in a food dish according to the image;

When the food is not placed in the food dish, the step of determining the price of the food according to the unit price of the food and the weight of the food is performed.
18. The computer-readable storage medium of claim 19, wherein the food settlement program is executed by the processor to implement the following steps:

After the food is placed in the food pan, determine the weight of the food pan;

Correcting the weight of the food according to the weight of the food dish to obtain the corrected weight;

The price is determined according to the corrected weight and the unit price of the food, and the price is output.