KR102471425B1 - Apparatus and method for providing food information - Google Patents

Abstract

The present invention relates to an apparatus for providing food information. The apparatus for providing food information comprises: an input unit which receives a search word from a user; an extraction unit which extracts matching foods that match the search word among a plurality of foods; and a control unit which displays the information of the extracted matching foods as a list on the screen of a user terminal. The information on the matching foods may include pudding index information indicating food safety levels calculated in consideration of component analysis information of each matching food.

Description

Apparatus and method for providing food information {APPARATUS AND METHOD FOR PROVIDING FOOD INFORMATION}

The present application relates to a food information providing device and method.

In general, most of the foods sold online are made in such a way that information on food ingredients is simply listed and written down.

Therefore, in such a conventional ingredient information labeling method, when a user purchases a specific food, information such as whether the ingredients in the food are safe, does not contain dangerous ingredients, or contains ingredients that cause allergies is provided. There are limits to intuitive understanding.

The background technology of the present application is disclosed in Korean Patent Publication No. 10-2015-0081384.

The present application is intended to solve the problems of the prior art described above, and the problems of the conventional ingredient information labeling method (that is, when a user purchases a specific food, whether the ingredients in the food are safe or not contain dangerous ingredients) It is an object of the present invention to provide a food information providing device and method capable of resolving the problem of intuitively grasping information such as whether or not an ingredient causing an allergy is included.

However, the technical problem to be achieved by the embodiments of the present application is not limited to the technical problems described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, a food information providing apparatus according to an embodiment of the present application includes an input unit for receiving a search word from a user; an extraction unit for extracting matching foods that match the search term among a plurality of foods; and a control unit displaying the extracted matching food information as a list on a screen of a user terminal, wherein the matching food information includes pudding index information indicating a food safety level calculated in consideration of component analysis information of each matching food. can do.

In addition, the food information providing apparatus according to an embodiment of the present application performs component analysis and calculation of pudding index information as food analysis for each of a plurality of foods, and matches and stores food analysis result information with each food It may further include an analyzer, and the analyzer may perform the food analysis based on component data collected from detailed information on each of a plurality of foods.

In addition, the analysis unit calculates the risk level of each ingredient in each food based on a plurality of recognized food additive regulations, and classifies each food ingredient based on the calculated risk level into a plurality of predefined safety classification levels. It is possible to perform component analysis classified into , and calculate the pudding index information of each food based on the result of component analysis.

In addition, when the user selects a first matching food among the matching foods in the list, the control unit displays detailed information of the first matching food on the screen, wherein the detailed information is a food for the first matching food. Detailed description information, component information including component analysis information, pudding index information, and review information may be included.

In addition, the pudding index information is information displayed as a score, the ingredient analysis information is information displayed as graph information about the number of classifications and classification proportions of ingredients in food for a plurality of safety classification levels, and the control unit , Ingredients in the first matching food may be displayed in different colors for each of a plurality of safety classification levels.

In addition, the controller displays a filter menu for filtering foods to be searched for when searching for food on one area of the screen, and the extractor selects matching foods in consideration of filter setting information input by the user through the filter menu. can be extracted.

In addition, the filter menu may include a popular category menu including items excluding possible carcinogens, items excluding items capable of teratogenic substances, and items excluding pre-set artificial material-added foods.

In addition, the filter menu may include an excluded additive menu, and the user may search for and add items of an additive to be excluded through the excluded additive menu.

In addition, the filter menu may include a family-customized filtering menu for searching for customized food customized to the characteristics of a member selected by the user based on profile information of the family member pre-registered by the user.

The food information providing device according to an embodiment of the present application further includes a diet calendar management unit that manages the user's diet based on the information of the ingested food registered by the user, wherein the diet calendar management unit allows the user to manage each family member. As the information on food consumed can be registered, it is possible to manage the diet of each family member.

The above-described problem solving means are merely exemplary and should not be construed as intended to limit the present disclosure. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and detailed description of the invention.

According to the above-described problem solving means of the present application, by providing a food information providing device and method, the problem of the conventional ingredient information labeling method (ie, when a user purchases a specific food, whether the ingredients in the food are safe or dangerous It is possible to solve the problem that there is a limitation in intuitively grasping information such as whether a component is not included or whether an ingredient causing an allergy is included.

According to the problem solving means of the present application described above, by providing a food information providing device and method, it is possible to provide food analysis result information that allows more intuitive recognition of the risk (safety level) of ingredients in each food.

However, the effects obtainable herein are not limited to the effects described above, and other effects may exist.

1 is a diagram showing a schematic configuration of a food information providing system according to an embodiment of the present application.
2 to 4 are diagrams showing examples of screen display of a user terminal controlled by a food information providing device according to an embodiment of the present disclosure.
5 is a diagram for explaining pudding index information provided by a food information providing apparatus according to an embodiment of the present invention.
6 is a diagram illustrating an example of a review information providing screen and a review writing screen provided by a food information providing device according to an embodiment of the present disclosure.
7 is a diagram for explaining a filter menu provided on a screen of a user terminal by a food information providing device according to an embodiment of the present disclosure.
FIG. 8 is a view showing an example of a screen display when a user clicks an add item in an excluded additive menu included in a filter menu provided by a food information providing apparatus according to an embodiment of the present disclosure.
9 is a diagram illustrating an example of a user information management screen provided by a food information providing device according to an embodiment of the present disclosure.
10 and 11 are diagrams for explaining a diet calendar management unit in a food information providing device according to an embodiment of the present disclosure.
12 to 15 are diagrams illustrating examples of screen displays that can be provided to a user terminal by a food information providing device according to an embodiment of the present disclosure.
16 is an operation flowchart of a food information providing method according to an embodiment of the present disclosure.

Hereinafter, embodiments of the present application will be described in detail so that those skilled in the art can easily practice with reference to the accompanying drawings. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein. And in order to clearly describe the present application in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the present specification, when a part is said to be “connected” to another part, it is not only “directly connected”, but also “electrically connected” or “indirectly connected” with another element in between. "Including cases where

Throughout the present specification, when a member is referred to as being “on,” “above,” “on top of,” “below,” “below,” or “below” another member, this means that a member is located in relation to another member. This includes not only the case of contact but also the case of another member between the two members.

Throughout the present specification, when a certain component is said to "include", it means that it may further include other components without excluding other components unless otherwise stated.

1 is a diagram showing a schematic configuration of a food information providing system 100 according to an embodiment of the present application. Hereinafter, the food information providing system 100 according to an embodiment of the present application will be referred to as the present system 100 for convenience of explanation.

Referring to FIG. 1 , the present system 100 may include a food information providing device 10 and a user terminal 1'. The food information providing device 10 is the food information providing device 10 according to an embodiment of the present application. Hereinafter, it will be referred to as the present device 10 for convenience of description.

The present device 10 can transmit and receive data by interworking with the user terminal 1' through the network 7. The network 7 includes, for example, a 3rd Generation Partnership Project (3GPP) network, a Long Term Evolution (LTE) network, a World Interoperability for Microwave Access (WIMAX) network, the Internet, a Local Area Network (LAN), and a Wireless LAN (Wireless). Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (Bluetooth) network, NFC (Near Field Communication) network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. It may include, but is not limited thereto, and may include various wired/wireless communication networks.

The user terminal 1' may refer to a terminal possessed by the user 1. User 1 may mean a user using the device 10 . The user terminal 1' is, for example, PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile) Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (WCode Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smartphone, smartpad, tablet PC, laptop, It may include all types of wired and wireless communication devices such as wearable devices and desktop PCs, but is not limited thereto. Such a user terminal 1' may be differently expressed as a portable terminal, a terminal, and the like.

The device 10 may be provided in the form of a device included in the user terminal 1'. In this case, the device 10 may be a device that can be implemented in the form of a program or application (app, app) installed in the user terminal 1'. In other words, the food information providing method provided through the device 10 may be implemented in the form of a program or application, for example, and provided to the user 1 through the user terminal 1'. However, it is not limited thereto, and as another example, the device 10 may be provided in the form of a server capable of transmitting and receiving data with the user terminal 1'. The device 10 provided in the form of a server may control a screen display of a terminal (user terminal) of a user accessing an application provided by the device 10 . In the description with reference to FIG. 1 , the apparatus 10 will be described as an example provided in the form of a server, and in this case, the apparatus 10 may be otherwise referred to as a server, a food information providing server, and the like.

In FIG. 1, it is illustrated that one user terminal 1' is included in the present system 100, but this is only an example to help understanding of the present application, and is not limited thereto, and the present system 100 includes A plurality of user terminals possessed by each of a plurality of users may be included. Therefore, even if the content is omitted below, the description of the user terminal 1' can be equally applied to the description of each of a plurality of user terminals.

In addition, the application (app, app) provided by the device 10 herein will be referred to as this app for convenience of description below. According to this, the device 10 can control the operation (eg screen display operation, etc.) of the user terminals of users who have installed this app. This app may be otherwise referred to as a food information providing app (app). This device 10 may provide a food information providing platform (this platform) through the provision of this app. A more detailed description of the device 10 is as follows.

2 to 4 are diagrams showing examples of screen display of the user terminal 1' controlled by the food information providing device 10 according to an embodiment of the present disclosure.

1 to 4, the device 10 includes an input unit 11, an extraction unit 12, a control unit 13, an analysis unit 14, a food DB 15, and a diet calendar management unit 16. can include

The input unit 11 may receive a search word input from the user. The controller 13 may display a food search screen f1 on the screen of the user terminal 1', and the user 1 may display a search field ( Through f2), you can input a search term for the food you want to search (search food). The input unit 11 may receive a search word (search word of search food) input through the search box f2.

The extraction unit 12 may extract matching foods that match the search word input through the input unit 11 from among a plurality of foods. At this time, information on a plurality of foods sold in the device 10 may be stored and managed in the food DB 15 . That is, information on a plurality of foods registered by a plurality of sellers may be stored in the food DB 15 . The extraction unit 12 may extract matching foods matching a search word from among a plurality of foods stored in the food DB 15 .

The control unit 13 may provide (display) information on matching foods extracted by the extraction unit 12 on the screen of the user terminal 1' as a list. 2, for example, when the user 1 inputs 'yoghurt' as a search word, the control unit 13 displays a list of matching foods (m1, m2, m3, m4, ...) matching the search word with the user terminal 1 An example displayed on the screen of ') is shown. For example, the matching foods extracted by the extraction unit 12 may include a first matching food (m1), a second matching food (m2), a third matching food (m3), a fourth matching food (m4), and the like. have.

At this time, the information of the matching foods (m1, m2, m3, m4, ...) in the list displayed on the screen of the user terminal 1' is pudding representing the food safety level calculated in consideration of the component analysis information of each matching food. Index information (i1) may be included. Here, ingredients of food may include raw materials and additives. Therefore, component analysis information of food may refer to information obtained by analyzing components (raw materials/additives) included in food.

When the user 1 selects the first matching food m1 from among the matching foods m1, m2, m3, m4, ... in the list, the controller 13 displays detailed information of the first matching food m1. It can be displayed on the screen of the user terminal 1'.

3 and 4, for example, when the first matching food m1 selected by the user 1 corresponds to '6 pieces of cream cheese corn bread from a secret bakery', a first matching food displayed on the screen of the user terminal 1'. An example of detailed information of 1 matching food (m1) is shown. Referring to these, the detailed information of the first matching food (m1) includes food detailed description information (i3) for the first matching food (m1), component information including component analysis information (i2), and pudding index information (i1) and review information i4.

In this case, the food detailed description information i3 may include various types of information related to the first matching food m1 sold. As an example, as shown in FIG. 4, the food detailed description information (i3) includes various types of information, such as delivery information (delivery information, non-cancelable information, exchange/refund information, etc.) for the first matching food (m1), food Introduction information, food recipe information, food notice information, and the like may be included. Here, the food notification information may include, for example, the product name of food, food name, contents, manufacturer, salesperson information, expiration date information, storage method, raw material name information, nutrition information, precautions information, and the like.

The review information i4 may mean review (review) information on the first matching food m1 uploaded by users (buyers) who have purchased the first matching food m1.

Further, the detailed information of the first matching food m1 may include related product information i5 providing information on related products related to the first matching food m1.

The related product information (i5) is the same as the first matching food (m1) and the food type (for example, corn bread) but of a different brand, and the next immediately purchased food after purchasing the first matching food (m1) ( This can be analyzed using food purchase history information of other users) and the like.

In addition, for example, while the user 1 is searching for food to feed his son (Woobin), the first matching food (m1) selected by the user 1 is an ingredient that causes allergies in his son (eg flour, etc.). ), the control unit 13, as related product information i5 for the first matching food m1, belongs to the same food type as the first matching food m1, but does not cause allergy. It is possible to provide information on foods containing ingredients that are not included (eg, corn bread made of pure 100% rice, not wheat flour). This related product information i5 may be differently expressed in terms such as recommended product information.

In addition, the controller 13 may derive the related product information i5 by using a pre-learned deep learning model as an example. That is, the control unit 13 may generate related product information i5 or recommended product information using a pre-learned deep learning model.

At this time, the pre-learned deep learning model is a model learned to take food purchase history information of a plurality of users using the device 10 and profile information of each user as inputs, and to have purchased food information matched with them as an output value. can According to this pre-learned deep learning model, for example, when profile information of a specific member (eg, son Woobin) selected by user 1 is input, food (recommended food) information customized for the member is output as an output value. can be provided with

Here, as an example, the deep learning model may mean an artificial intelligence (AI) algorithm model, a machine learning (machine learning) model, a neural network model (artificial neural network model), a neuro fuzzy model, and the like. In addition, the deep learning model is conventionally known or developed in the future, such as a Convolution Neural Network (CNN), a Recurrent Neural Network (RNN), and a Deep Neural Network, by way of example. Various neural network models may be applied.

The component analysis information i2 and the pudding index information i1 included in the detailed information of the first matching food m1 may be information provided through food analysis by the analyzer 14 .

Here, the pudding index information i1 may be information displayed as a score. In addition, the ingredient analysis information i2 may be information displayed as graph information about the number of classifications and classification proportions of ingredients in food for a plurality of safety classification levels. In the case of component analysis information i2, the controller 13 may display components in the first matching food m1 in different colors for each of a plurality of safety classification levels.

Specifically, in order to provide the pudding index information i1, the analysis unit 14 performs component analysis as food analysis and calculation of pudding index information for each of a plurality of foods stored in the food DB 15, and , Food analysis result information can be matched with each food and stored in the food DB (15). That is, in the food DB 15 , for each of a plurality of foods, food information and food analysis result information of the corresponding food may be matched and stored. Here, the food analysis result information means result information according to the performance of the food analysis, and may include component analysis information (component analysis result information), which is result information according to the performance of the component analysis, and calculated pudding index information.

At this time, the analyzer 14 may perform food analysis based on component data collected from detailed information on each of a plurality of foods (in particular, detailed food description information within detailed information). Here, component data may mean data (information) related to raw materials/additives.

For each of a plurality of foods, the analysis unit 14 may perform letter recognition processing on detailed food description information in detailed information of each food to collect ingredient (raw material and additive) data in detailed food description information. Thereafter, the analyzer 14 may perform food analysis for each food based on the collected component data.

In general, for foods sold online, most of the food's ingredient data (eg, raw material name data) is provided in the form of an image in which text recognition is impossible, as shown in FIG. 4, for example, and simply ingredients It is provided in a way that lists and fills them out. Therefore, in such a conventional ingredient data labeling method (list entry method, image type provision method), when a user purchases a specific food, whether the ingredients in the food are safe or not contain dangerous ingredients, It is very difficult to intuitively determine whether or not there are ingredients that cause In order to solve this problem, the apparatus 10 performs food analysis for each food in order to more intuitively recognize the risk (safety level) of each food ingredient, and the result information (food analysis result information) want to provide

At this time, in consideration that generally, the labeling of food component data is conventionally provided in the form of an image, the analyzer 14 first performs character recognition processing for detailed food description information in detailed information of each food in order to perform food analysis. It is possible to collect (obtain) ingredient data from food description information of each food by performing

Here, the text recognition process may be, for example, an optical character reader (OCR) process. However, it is not limited to this, and as the text recognition processing considered herein, any processing method capable of recognizing (identifying) characters included in images and videos can be applied to various images and videos. . That is, various character recognition (identification) technologies that already exist or are developed in the future can be applied as the character recognition processing technology.

After the component data is collected, the analysis unit 14 calculates the risk level of each ingredient in each food based on a plurality of certified food additive regulations (Codex Alimentarius Commission), and based on the calculated risk level Perform component analysis to classify ingredients in each food into a plurality of predefined safety classification levels, and based on the result of component analysis (ie, based on the classification proportion (number) of components for a plurality of safety classification levels) ) The pudding index information of each food can be calculated.

Here, the plurality of recognized food additive regulations means five food additive grades, which are the food additive grades in the food score of EWG, a US non-profit environmental organization, the US Food and Drug Administration (FDA), and the European Food and Drug Administration (EFSA). , It may be information calculated based on food additive information from the International Agency for Research on Cancer (IARC) under the World Health Organization and provided through verification by a verification committee composed of domestic food professors and experts. In other words, multiple certified food additive regulations refer to objective data from global institutions such as EWG (US non-profit environmental organization), FDA (US Food and Drug Administration), and IARC (International Agency for Research on Cancer), as well as verification consisting of domestic food professors and experts. It can mean five food additive grades that are evaluated through the committee's verification.

Illustratively, the EWG grade is classified by subdividing the safety and risk of ingredients into grades 1 to 10. Here, the smaller the number, the safer the ingredient.

In addition, the plurality of predefined safety classification levels may include three types of classification levels, a 'safety' level that is a first type classification level, a 'caution' level that is a second type classification level, and a third type of classification level. It may include a 'Warning' level, which is the classification level of the type.

Illustratively, it is assumed that component data (component data of the first food) collected for a first food among a plurality of foods is 10 items. That is, assume that 10 ingredients (raw materials/additives) are included in the first food. The analysis unit 14 may calculate the risk level of each ingredient based on the collected ingredient data (ie, 10 ingredients) based on a plurality of certified food additive regulations. For example, as a result of calculating the risk level of each component based on the EWG rating, among 10 components, 1 to 7 components are rated 1, 8 components are rated 4, 9 components are rated 2, and 10 components are rated 2. Let's say it's calculated at level 9.

Thereafter, the analyzer 14 may perform component analysis to classify the components (ten components) in the first food into a plurality of predefined safety classification levels based on the calculated risk level. At this time, the analyzer 14 classifies the component whose EWG rating is 1 or 2, for example, into the first type of classification (safety rating), and the EWG rating is classified as any one of 3 to 6. The calculated components can be classified into a second type of classification level (caution level), and the components calculated as any one of the EWG levels of 7 to 10 can be classified into a third type of classification level (warning level). . According to this, for example, 8 of the 10 components in the first food (ie, 1 to 8 components calculated as 1st grade, and 9 components calculated as 2nd grade) are classified into the first type of classification level (safety level). ), one component (i.e., 8 components classified as 4 levels) is classified as a second type classification level (caution level), and one component (ie, 10 components classified as 9 levels) It can be classified into 3 types of classification levels (warning levels).

Thereafter, the analyzer 14 may calculate pudding index information of the first food based on the classification weight (number) of components of the first food for a plurality of safety classification levels. In this case, the pudding index information may be calculated by subtracting the calculated value from 100 by multiplying the number corresponding to the classification weight of components for a plurality of safety classification levels by a predetermined deduction score for each safety classification level. In this case, in the case of deduction points for each safety classification level, for example, the classification level of the first type may be preset to 0 points, the classification level of the second type to 1 point, and the classification level of the third type to 2 points. The numerical setting of such deduction points is only one example to help the understanding of the present application, and is not limited thereto, and may be set/changed to various values by an administrator who manages the device 10 .

Exemplarily, in the case of 10 ingredients in the first food, 8 are classified as a classification grade of the first type, one is classified as a classification grade of the second type, and one is classified as a classification grade of the third type. The pudding index information of one food may be calculated as 97 points (ie, 100 points - (8 X 0 points) - (1 X 1 points) - (1 X 2 points) = 97 points).

As another example, when all 10 ingredients in the first food are classified into the first type of classification level (safety level), the pudding index information of the first food may be 100 points. As another example, since 5 of the 10 ingredients in the first food are classified as a classification grade of the first type, 3 are classified as a classification grade of the second type, and 2 are classified as a classification grade of the third type, the first food The pudding index information of can be calculated as 93 points (ie, 100 points - (5 X 0 points) - (3 X 1 points) - (2 X 2 points) = 93 points).

In the above-described example, the calculation of the pudding index information is exemplified as being calculated using the number corresponding to the classification weight of ingredients for a plurality of safety classification levels and a predetermined deduction score for each safety classification level, but this is beyond the understanding of the present application. It is just one example to help, but is not limited to this.

As another example, the calculation of the pudding index information may be calculated using the risk level calculated for each component in the food and a predetermined deduction score for each risk level. Exemplarily, the deducted score is 0 points for the 1st grade, 1 point for the 2nd grade, 2 points for the 3rd grade, . . . , if the grade is 10, it may be preset such as 9 points. At this time, 8 of the 10 components in the first food (ie, 1 to 8 components calculated as 1st grade, and 9 components calculated as 2nd grade) are classified into the first type of classification level (safety level). , one component (i.e., 8 components classified as 4 levels) is classified as a second type classification level (caution level), and one component (ie, 10 components classified as 9 levels) is classified as a third type classification level. When classified as a classification level (warning level), the pudding index information of the first food is 89 points (ie, 100 points - (8 X 0 points) - (1 X 3 points) - (1 X 8 points) = 89 points ) can be calculated.

The pudding index information may mean that safe ingredients are included as the number increases. In this way, the analysis unit 14 derives food analysis result information (ie, food analysis result information including pudding index information and ingredient analysis information) for each of a plurality of foods by performing food analysis of each of a plurality of foods, and converts the food analysis result information into food. It can be stored in DB (15). Thereafter, when the user selects one food from among a plurality of foods, the control unit 13 transmits detailed information of any one food, including food analysis result information of one food, to the user terminal as detailed information of any one food selected by the user. can be displayed on the screen.

Illustratively, referring to FIG. 3 , when the analyzer 14 performs food analysis on the first matching food m1, for example, component analysis information of the first matching food m1 as food analysis result information. (i2) and pudding index information (i1) can be derived. The analyzer 14 may match the food analysis result information derived for the first matching food m1 with the first matching food m1 and store it in the food DB 15 . Accordingly, when the user 1 selects the first matching food m1, in response to the selection, the controller 13 retrieves detailed information of the first matching food m1 based on the information stored in the food DB 15. For example, as shown in FIGS. 3 and 4, it can be displayed on the screen of the user terminal 1'.

At this time, in the ingredient analysis information (i2) shown in FIG. 3, information on the number of classifications of ingredients in food for a plurality of safety classification levels is displayed, for example, 'Safety: 8, Caution: 3, Warning: 1'. can confirm that it is. In addition, it can be seen that the component analysis information i2 displays graph information (bar graph information) about classification proportions of components in food for a plurality of safety classification levels. Here, ingredients in the first matching food m1 may be displayed in different colors for each of a plurality of safety classification levels. For example, components classified as a first type of classification level (safety level) are displayed in green (blue), components classified as a second type of classification level (caution level) are displayed in yellow, and a third type of classification level is displayed in yellow. Ingredients classified as a classification level (warning level) may be marked in red.

As the classification proportion of ingredients in the first matching food (m1) is 'Safety 8: Caution 3: Warning 1', the graph information (bar graph information) for the classification proportion is 8 out of the total area when the whole is 100. An area corresponding to /11 may be displayed in green, an area corresponding to 3/11 may be displayed in yellow, and an area corresponding to 1/11 may be displayed in red.

In addition, when a user clicks on the component analysis information i2 of the first matching food m1, the controller 13 displays detailed information of the component analysis information i2 of the first matching food m1. can do. At this time, the detailed information of the component analysis information i2 for the first matching food m1 is, for example, the color of a plurality of safety classification grades for each component in the first matching food m1, as shown in the right picture of FIG. 4 . May contain display information.

According to the provision of the component analysis information i2, the user 1 believes that the first matching food m1 includes a total of 12 components (raw materials and/or additives), and among these 12 components (component data) It can be intuitively confirmed that 8 are safe ingredients (low-risk ingredients), 3 require attention (moderate risk ingredients), and 1 ingredient requires warning (ie, high-risk ingredients).

The analyzer 14 may perform component analysis (component analysis) for raw materials and additives of each food through food analysis of each food.

The pudding index information of each food considered herein is information calculated by the analysis unit 14 in the device 10 by reflecting the food additive data recognized such as EWG rating and overseas FDA (ie, the app itself) score calculated from).

5 is a diagram for explaining pudding index information provided by the food information providing device 10 according to an embodiment of the present application. Referring to FIG. 5 , the analyzer 14 may calculate pudding index information for each of a plurality of foods, and the food for which the pudding index information is calculated may be referred to as a pudding index food herein. These pudding index foods may be defined as shown in FIG. 5, and detailed descriptions thereof will be omitted below.

Meanwhile, although not shown in the drawings, the analysis unit 14 may include a component verification unit (not shown).

According to the foregoing example, the analyzer 14 may collect ingredient (raw material and additive) data of the corresponding food from the character recognition processed food detailed description information, and perform food analysis based on the collected ingredient data. That is, illustratively, when performing food analysis (particularly, component analysis) on the first matching food m1, the analysis unit 14 recognizes and processes the detailed food description information of the first matching food m1, and then , Based on the component data collected by collecting ingredient data (information on ingredients included in the first matching food, such as raw materials and additives) in the first matching food (m1) from the food detailed description information processed by letter recognition Component analysis can be performed.

However, if component analysis is performed based only on the detailed food description information of the food registered in the device 10 as described above, if the detailed food description information of the food registered in the device 10 is incorrectly written information, Component analysis results may also lead to incorrect values. In other words, if incorrect information is provided as component analysis result information due to incorrect labeling of detailed food description information, problems such as causing allergic reactions may occur to users who purchase food believing only the component analysis result information. and, in severe cases, life-threatening. Therefore, it will be necessary to provide more accurate component analysis results.

Accordingly, the device 10 may include a component verifying unit (not shown). The description of the ingredient verification unit (not shown) is described based on the first matching food (m1) as an example for convenience, and the description of the first matching food (m1) is each of a plurality of foods, even if the content is omitted below. The same can be applied to the description of .

The component verifier (not shown) may acquire (collect) component data of the first matching food m1 registered in the apparatus 10 as first component data. In this case, the first component data may be obtained by character recognition processing of food detailed description information of the first matching food m1 registered in the apparatus 10 as described above.

In addition, the component verifying unit (not shown) may collect component data of the first matching food m1 from a plurality of online shopping malls through web crawling.

The component verifying unit (not shown) obtains (collects) component data of the first matching food m1 from a plurality of online shopping malls selling the same food as the first matching food m1 through web crawling. can do. In this case, the component data obtained from the online shopping mall may be referred to as second component data. A plurality of online shopping malls may refer to shopping mall sites different from the present device 10, and illustratively, the plurality of online shopping malls may include Coupang, 11th Street, Market Curly, Emart Mall, and the like. The component verifier (not shown) may obtain a plurality of second component data as component data of the first matching food m1 from a plurality of online shopping malls. Here, the plurality of second component data may be at least three, but is not limited thereto.

Thereafter, the component verifying unit (not shown) may compare four component data including the first component data and a plurality of (for example, three) second component data with each other to verify whether they match.

In this case, when it is confirmed that all four component data match, the component verifier (not shown) may determine that the first component data is normal record data. Thereafter, the analyzer 14 may perform component analysis of the first matching food m1 based on the first component data of the first matching food m1 determined to be normal record data in the component verification unit (not shown). can

Suppose that only one component data out of four component data is inconsistent. As a specific example, each of the second component data obtained from the first online shopping mall (eg, Coupang), the second component data, and the first component data obtained from the second online shopping mall (eg, 11th Street) includes 10 components. Including, but assume that the number of components and the types of components are all the same. On the other hand, the second component data obtained from the third online shopping mall (e.g., Emart Mall) has a total of 11 components, and in contrast to the previous 10 components, an additional component (hereinafter, additional components for convenience of description) Let's say that it contains more. In this way, when the component information is inconsistent between the four component data, the component verifier (not shown) checks whether the inconsistent component (ie, the aforementioned one additional component a) is the component included in the first matching food m1. can be verified.

To this end, the component verifying unit (not shown) obtains the contact information of the manufacturer who manufactured the first matching food m1 from the detailed information of the first matching food m1 registered in the device 10, and the obtained manufacturer. A verification request message may be transmitted to the manufacturer terminal corresponding to the contact information of '. Here, the verification request message may be illustratively information such as 'Please check whether the first matching food (6 pieces of cream cheese corn bread from the secret bakery) contains a component (ie, one additional ingredient a)'. .

At this time, the component verification unit (not shown), when the response to the verification request message received from the manufacturer terminal is 'correct that component a is included', the first matching food (m1) registered in the device 10 ) Recognizes that there is an error in the recording of the first component data (ie, 10 components) of component data (ie, determines that the first component data is abnormally recorded data), and is registered in the device 10 The first component data may be modified. In this case, the first component data may be modified to include a total of 11 components including component a from the existing 10 components. Thereafter, the analysis unit 14 determines that the first component data corrected to include 11 components is normal record data, and the components of the first matching food m1 are based on the first component data including the 11 components. analysis can be performed.

In this way, the component verification unit (not shown) compares and analyzes whether the component data registered in the device 10 and the component data registered in a plurality of other online shopping malls for the same food are identical or different, and included in the corresponding food. Ingredients can be verified. The apparatus 10 may provide ingredient analysis information i2 and pudding index information i1 for food whose ingredients have been verified, so that the user 1 can purchase food more safely. .

That is, the component verification unit (not shown) can verify the component data of the food by comparing whether the component data of the food registered in this app and the component data registered in other online shopping malls match each other for the same food. At this time, if they are inconsistent with each other, the component verification unit (not shown) may contact the food manufacturer and request confirmation of whether or not the inconsistent components are included. Through this, the device 10 can provide safer food to the user, and enable the user to receive more accurate component analysis information.

6 is a diagram illustrating an example of a review information providing screen and a review writing screen provided by the food information providing device 10 according to an embodiment of the present disclosure.

Referring to FIG. 6 , when the user 1 clicks the review information i4 in the detailed information of the first matching food m1, the uploaded reviews for the first matching food m1 are read by the user terminal 1' ) can be displayed on the screen. At this time, the review information i4 may mean a user review menu. In addition, the review information i4 displayed on the screen of the user terminal 1' may include a plurality of review (review) information uploaded by users (buyers) who purchased the first matching food m1.

For example, when the user 1 purchases the first matched food m1, the screen controller 13 may provide (display) a review writing screen on the screen of the user terminal 1'. The user 1 can write a review for the first matching food m1 through the review writing screen, and at this time, the user 1 can write ratings (star ratings for satisfaction), images, detailed review information, and the like. At this time, if the user 1 has set the allergy information and disease information in his or her profile information to 'public', the review information uploaded by the user 1 includes, for example, allergy information registered by the user 1 and Retained disease information may be included together and exposed to others. Through this, other users can decide whether or not to purchase the food in consideration of this information.

In addition, although not shown in the figure, when the user clicks the first matching food product (m1), detailed information of the first matching food product (m1) is displayed on the screen of the user terminal 1' as shown in FIG. 3, for example. can be displayed together. At this time, the controller 13 may display a purchase trend providing menu providing purchase trend information of the first matching food m1 on one area of the screen.

When a user input is made to the purchase trend providing menu displayed on one area of the screen of the user terminal 1', the controller 13 purchases the first matched food m1 for each preset period in relation to the review information i4. Graph information on the number of cases may be provided on the screen of the user terminal 1'.

Here, the preset period may mean, for example, by date, month, year, etc., but this is only an example to help understanding of the present application, and is not limited thereto. In addition, in providing graph information, the setting for the type of preset period (ie, date, month, year) may be set by a user's selection input, for example, but is not limited thereto, and as another example, It can be set by a user (manager) who manages the device 10.

That is, when a user input for the purchase trend providing menu is made, the controller 13, for example, based on the review information i4 of the first matching food m1, lists the review information included in the review information i4 by date. It can be generated in the form of a graph related to the number of purchases (or by month or year) and displayed on the screen of the user terminal 1'.

In addition, when food type information for the first matching food m1 is further input from the user terminal 1', the controller 13 may provide review information related to purchase trend for each food type information. Here, the food type information may include information on the type and/or capacity (size) of the first matching food m1.

Exemplarily, it is assumed that the first matching food m1 is related to sundae, and two types of sundae including baeksundae and chalsundae are sold. At this time, when the user inputs that the type of the first matching food m1 is baeksundae, the controller 13 may provide review information related to the purchase trend of baeksundae. Also, the first matching food m1 relates to sundae, and the corresponding sundae may be sold in different capacities, such as 1kg and 2kg.

At this time, when the user inputs the capacity of the first matching food m1 as 1 kg, inputs the type of the first matching food m1 in order, and then clicks the purchase trend providing menu, the controller 13 calculates 1 kg of Based on the review information of users who have purchased chalsoondae, review information related to purchase trend of 1kg chalsoondae (ie, graph information on the number of purchases per period in relation to 1kg chalsoondae) may be provided.

According to this, the controller 13 may provide the user with only review information related to the type and amount of food input by the user among all review information on the specific food (first matching food) selected by the user. (That is, review information related to the type and amount of food input by the user) may be provided as graph information on the number of purchases for each preset period.

This device 10 provides the user with purchase trend related information (graph information) for a specific food, but in particular, provides the purchase trend related information for the corresponding food in consideration of the type or amount of food input by the user. can Through this, the present device 10 can intuitively grasp the purchase trend (tendency), purchase preference, etc., such as whether the food the user wants to purchase has recently been purchased a lot, before the user actually purchases a specific food. can make it That is, if the food you want to purchase is a recently popular product that has been purchased by other users recently, or a product that was popular because other users purchased a lot until last year, but this year, the purchase rate is low and has become unpopular. Based on this, it can be provided so that it can be grasped more intuitively and quickly.

In addition, when providing review information on the first matching food (m1), the device 10 goes beyond providing all review information, and in particular extracts only review information corresponding to the type or capacity of a specific food input by the user. It can be provided to the user, so that the user can collect only the reviews on the type and capacity of the food he/she wants to purchase among the vast amount of review information so that the user can easily view them at once, and through this, make a purchase decision for the corresponding food. can help

7 is a diagram for explaining a filter menu fm provided on the screen of the user terminal 1' by the food information providing device 10 according to an embodiment of the present invention.

Referring to FIG. 7 , the controller 13 may display a filter menu fm for filtering foods to be searched for when searching for foods on one area of the screen of the user terminal 1'. In particular, the controller 13 may display the filter menu fm on one area of the food search screen displayed on the screen. The user 1 may set information (information to be filtered) to be excluded when searching for food through the filter menu fm.

The extraction unit 12 may extract matching foods in consideration of filter setting information input by the user 1 through the filter menu fm. The extraction unit 12 may extract, as matching foods, foods other than foods corresponding to the filter setting information while being matched with a search word among a plurality of foods.

Here, the filter menu fm may include a popular category menu fm1 including items excluding possible carcinogens, items excluding teratogenic substances, and items excluding pre-set artificially added food.

When the user selects (checks) an item to exclude possible carcinogens, the extraction unit 12 may exclude foods containing possible carcinogens (ingredients) when extracting matching foods that match the search term. That is, the extraction unit 12 may extract, as matching food, foods that do not contain possible carcinogens (ingredients) among a plurality of foods and match the search term. Here, information on possible carcinogens (ingredients) may be pre-registered in the device 10, which may include information on various carcinogens that have been previously known or will be known in the future.

When the user selects an item to exclude teratogenic substances, the extraction unit 12 may exclude foods containing teratogenic substances (ingredients) when extracting matching foods matching a search term. That is, the extraction unit 12 may extract, as matching food, foods that do not contain teratogenic substances (components) and match the search word among a plurality of foods. Here, information on teratogenic substances (ingredients) may be pre-registered in the present device 10, which may include information on various teratogenic substances that have been previously known or will be known in the future.

When the user selects a pre-set artificial substance-added food exclusion item, the extraction unit 12 may exclude food containing at least one of artificial coloring, artificial preservative, and MSG when extracting matching foods matching the search term. That is, the extraction unit 12 may extract, as matching food, foods that do not contain artificial coloring, artificial preservatives, and MSG and match the search word among a plurality of foods. Here, substance (component) information on artificial colorants, artificial preservatives, MSG, etc. may be pre-registered in the device 10, which is related to various artificial colorants, artificial preservatives, MSG, etc. Substance information may be included.

In addition, the filter menu fm may include an allergy menu fm2, an excluded additives menu fm3, and a family custom filtering menu fm4.

The allergen menu fm2 may refer to a menu that excludes foods containing ingredients that cause allergies when searching for foods. The user 1 may select any one item from among none or presence through the allergy menu fm2. When the user 1 selects an item corresponding to 'Yes' in the allergy menu fm2, he or she can directly search for and add an allergy-inducing item by clicking the Add item. For example, assume that the first user 1 selects an item corresponding to 'yes' in the allergy menu fm2 and adds milk and shrimp as allergy-inducing items through the Add item in the allergy menu fm2. . In this case, the extraction unit 12 may extract, as matching food, foods that do not belong to milk and shrimp among a plurality of foods and match the search term.

8 illustrates an example of a screen display when a user clicks an add item in the excluded additives menu fm3 included in the filter menu fm provided by the food information providing device 10 according to an embodiment of the present invention. is the drawing shown.

Referring to FIGS. 7 and 8 , the excluded additives menu fm3 may refer to a menu for excluding foods including additives (ingredients) input by a user when searching for foods. The user 1 may select any one item of none or presence through the excluded additives menu fm3. When the user 1 selects an item corresponding to 'Yes' in the excluded additives menu fm3, the user 1 may directly search for and add an item of an additive to be excluded by clicking the Add item. That is, the user 1 may directly search for and add additives to be excluded from food search through the excluded additives menu fm3.

When the user 1 clicks the Add item in the Excluded Additives menu fm3, a screen as shown in FIG. 8 may be displayed on the user terminal 1', based on which the user selects the additives to be excluded. You can add items by searching for them yourself. At this time, the user can check detailed information (detailed description information) of the corresponding additive by clicking a detailed view icon (for example, a magnifying glass icon) of each additive when searching for and adding an additive item.

For example, the first user 1 selects an item corresponding to 'Yes' in the excluded additives menu fm3, and selects sodium nitrite and potassium sulfite as additives to be excluded through the Add item in the excluded additives menu fm3. Suppose we added In this case, the extraction unit 12 may extract, as matching foods, foods that match the search term while not containing sodium nitrite and potassium sulfite as additives (ingredients) among a plurality of foods.

The family-tailored filtering menu fm4 may refer to a menu for searching for customized food customized to the characteristics of a member selected by the user 1 based on profile information of a family member pre-registered by the user 1 .

At this time, the user 1 may pre-register profile information of family members in the device 10 . The family members may mean all of the family to which the user 1 belongs, including the user 1 himself.

9 is a diagram illustrating an example of a user information management screen provided by the food information providing device 10 according to an embodiment of the present disclosure.

Referring to FIGS. 7 and 9 , the controller 13 may provide a user information management screen to the user terminal 1' as shown in FIG. 9 . Here, the user information management screen may include profile information of family members pre-registered by the user 1 . Here, it can be confirmed that the family members of the user 1 include the son (Woo Bin), himself (Seo Woo), and her husband. The user 1 may pre-register allergy information, disease information, food filter setting information, etc. in the apparatus 10 as profile information of each family member.

Allergy information (retained allergy information) may include, for example, milk, shrimp, and the like. The possessed disease information may include asthma, hypertension, and the like. The food filter setting information may mean information (filter setting information) that can be input through the filter menu fm. The user 1 may register allergy information, disease information, and food filter setting information differently for each family member.

According to this, it is assumed that the user 1 selects a son (Woo-bin) as one of the family members through the family-customized filtering menu fm4. In this case, the extraction unit 12 may extract matching food in consideration of food filter setting information pre-registered for the son (Woobin).

As described above, the user 1 inputs filter setting information based on the filter menu fm to search for food according to popular categories and search for food according to profile settings (food considering allergy, information on additives to be excluded, etc.) search), etc.

Also, the controller 13 may provide a brand filter menu on the screen. The user 1 may search for only food manufactured by any one brand among a plurality of food brands through the brand filter menu. Examples of food brands include Nongshim, Samyang, Ottogi, and Sampyo, but are not limited thereto.

The diet calendar management unit 16 may manage the diet of the user 1 based on the information of the consumed food registered by the user 1 . At this time, the diet calendar management unit 16 may be able to manage the diet of each family member as the user 1 can register information on food consumed by each family member.

10 and 11 are views for explaining the diet calendar management unit 16 in the food information providing device 10 according to an embodiment of the present application.

Referring to FIGS. 10 and 11 , the user 1 displays the information on the food consumed by each member of the family (for example, the son, himself, and husband) through the food registration screen shown in FIG. 11 . You can register through At this time, when user 1 registers the information of the food to be consumed, the image of the food to be eaten, the type of food to be eaten (eg, snack, etc.), the title (eg, whipped cream muffin), calorie information (eg, 400 kcal), You can register by entering additional content information. At this time, the calorie information of the consumed food can be checked through, for example, a food search menu displayed on the screen.

In addition, the user 1 may set a daily target calorie for each member of the family. For example, the user 1 may set the daily target calories of each member as 1600 kcal for the son (Woobin), 2000 kcal for the user, and 3000 kcal for the husband.

According to this, based on information on food intake for each family member registered by the user 1 and target calorie information for each member set in advance by the user 1, the diet calendar management unit 16 can manage the diet of each member. can That is, the diet calendar management unit 16 may provide total calorie information of foods consumed per day and food information consumed by day for each family member, as shown in the left drawing of FIG. 10 . have.

The user 1 can record information on food (food eaten, food eaten) consumed by each family member through the device 10, and the diet calendar management unit 16 stores the information recorded by the user 1. Calories (total calories in food eaten) can be automatically calculated based on When the diet calendar management unit 16 manages the food consumed by each member (that is, when managing the diet (diet calendar) of each member), the food analysis result information of each food analyzed by the analysis unit 14 is linked with the food analysis result information. can manage

12 to 15 are diagrams showing examples of screen displays that can be provided to the user terminal 1' by the food information providing device 10 according to an embodiment of the present disclosure.

12 to 15, the control unit 13 accesses this app provided by the device 10, but displays a screen as shown in the left drawing of FIG. can be displayed According to this, the controller 13 may provide category menus such as sweets/snacks, milk/dairy products, beverages/desserts, and processed foods, and may also provide food recommendation information. In this case, the food recommendation information may include, for example, foods with a high purchase rate, foods with a high review (rating), and the like, but are not limited thereto.

The control unit 13 accesses this app provided by the device 10, but may display a screen as shown in the right drawing of FIG. 12, for example, on the logged-in user terminal 1'. According to this, the control unit 13 can provide category menus such as sweets/snacks, milk/dairy products, beverages/desserts, and processed foods, and also create them based on profile information of family members previously registered by the user 1. It can provide personalized food recommendation information to the members of the family. Here, the family member-customized food recommendation information may be generated using the above-described deep learning model.

Also, the controller 13 may provide special food information as shown in FIG. 13 . Also, as shown in FIG. 14 , the controller 13 may, for example, provide a Pudding Talk menu on the screen of the user terminal 1'. Users of the present device 10, including user 1, can communicate (converse) with other users in relation to various topics (free writing, knowledge sharing, health ingredients, diet, etc.) through the Pudding Talk menu. . The user 1 may write and upload a new article through the writing menu provided on the screen. Each user can leave comments on other people's posts.

In addition, as shown in FIG. 15, the control unit 13 includes a review view screen where only review information left by the user 1 can be collected and viewed, and posts written by the user 1 can be collected and viewed in My Pudding Talk. It is possible to provide a screen to view posts and a screen to view comments written by me in My Budding Talk, where only the comments left by the user (1) can be collected and viewed.

Also, the controller 13 may allow the user 1 to set a field of interest. Here, the field of interest may include, for example, none, health, knowledge sharing, health ingredients, diet, vegan life, disease prevention, parenting, health, and the like. When the user 1 selects a specific field of interest (for example, health, knowledge sharing, childcare) from the interest field setting menu, the control unit 13 controls only the posts uploaded in relation to the specific field of interest selected by the user (1 ') can be exposed on the screen.

Also, although not shown in the drawing, the apparatus 10 may include a food sharing unit (not shown).

For example, when the user 1 wants to sell to another user because he/she cannot eat all of the food he/she has purchased due to a large quantity or the like, the user 1 can register the information of the food to be sold in the device 10. have. Accordingly, the user 1 can sell groceries loaded on the device 10 to other users, and in this case, the user 1 can be referred to as a seller.

The food sharing unit (not shown) may manage information on a plurality of foods registered by a plurality of users, including the user 1 . Information on a plurality of foodstuffs managed by the food sharing unit (not shown) may be exposed to users through a [food sharing menu] on the screen of the user terminal. That is, when the user clicks the food sharing menu, the controller 13 may display a list of food information (food related information) managed by the food sharing unit (not shown) on the screen of the user terminal.

Here, food may be used interchangeably with terms such as food, fresh food, and fresh food, but all may have the same meaning. Groceries can include vegetables, fruits, fish, and meat.

The user 1 may register food-related information about food to be sold in the device 10 . Here, food-related information may include food images, food description information, and seller information. Also, food-related information may include freshness information (ie, food freshness information).

The food image may refer to an image (food photographing image) obtained by a user photographing with a camera of the user terminal 1'. The food description information is information describing the food in the food image, and may include, for example, information such as the name of the food (food name), price (price per piece), number, size (weight, grams, volume) of the food. Food description information can be registered (recognized) by direct input by the user 1 through the user terminal 1'. Food description information may be, for example, information such as 'Aori apples (size: small apples), 6 pieces, 5,000 won'.

Seller information may include sales location information (address), seller contact information, and the like. Here, the sales location information may mean, for example, information on a meeting place (location) where a user wishes to make a transaction when the user wants to sell groceries by face-to-face transaction. Also, seller contact information may refer to user 1 contact information.

In addition, food-related information may include freshness information. To this end, the food sharing unit (not shown) may include a freshness determining unit (not shown).

When a food image is registered in relation to food information (food related information) sold by the user 1, the freshness determination unit (not shown) may determine the freshness of the food in the registered food image.

At this time, the freshness determination unit (not shown) takes a plurality of learning food images as an input value and the freshness information matched with each of the plurality of learning food images as an output value based on deep learning (ie, a pre-learned deep learning model). ), it is possible to determine the freshness (level of freshness) of the food in the registered food image using the registered food image.

Here, the deep learning model, for example, if the food learning image is an image of 'an apple with no scratches on the surface, a glossy surface, a firm surface without wrinkles, and a red color', the food learning image It may be a model pre-learned to output information such as 'more than 90% freshness' as freshness information. As another example, the deep learning model is '60 as freshness information for the food learning image in the case of an image of 'an apple with a lot of bruises on the surface, a moderately wrinkled surface, and a light between red and light green'. It may be a pre-learned model to output information such as '% level fresh'.

As such, the deep learning model used by the freshness determination unit (not shown) takes a plurality of food learning images for each of a plurality of food types (eg, fruit, fish, meat, vegetables, vegetables, etc.) as an input value, It may be a deep learning model pre-learned to have freshness information (freshness level prediction information, freshness score) matched with each of a plurality of food learning images as an output value. According to this pre-learned deep learning model, when a new food image is given as an input value, freshness information (freshness level prediction information, freshness score) of the food in the input food image may be derived.

The deep learning model considered by the freshness determination unit (not shown) may be an artificial intelligence algorithm model, a machine learning (machine learning) model, and the like, as in the example described above.

As such, the controller 13 may allow the freshness information determined by the freshness determination unit (not shown) to be exposed together when displaying information on food-related information registered by the user 1 to another user's terminal. Through this, users using the device 10 can purchase groceries they want based on the freshness information when purchasing groceries sold by other users. That is, users can purchase foodstuffs of higher quality (fresher) and cheaper prices in consideration of the freshness information. In addition, a user who sells foodstuffs can reduce waste of foodstuffs that are unnecessarily thrown away by selling foodstuffs in this way.

Further, it is assumed that user 1 registers information of the first food (information related to the first food) to the device 10 in order to sell the first food (for example, Aori apples). And, it is assumed that the second user who sees this wants to purchase the first food. In this case, the second user may make an inquiry about the first food to the user 1 prior to purchasing the first food.

At this time, when the second user inputs an inquiry related to the first food item, the food sharing unit (not shown) sends a notification message related to the inquiry regarding the inquiry input by the second user to the user terminal 1' which is the terminal of the user 1. ) can be provided. At this time, the notification message provided to the user terminal 1' is 'The second user has inquired about the first food item. It can be information such as 'please check it'. In this case, user 1 may be referred to as a first user for convenience of description below.

In this case, the grocery sharing unit (not shown) may provide a prompt notification to the second user so that the first user can more quickly respond (answer) to the inquiry made by the second user.

Specifically, the food sharing unit (not shown) provides a first user with an inquiry-related notification message, and then whenever a preset response time limit (eg, 10 minutes) within a preset time (eg, 1 hour) elapses, the first A prompt notification may be provided to the user's terminal. At this time, the food sharing unit (not shown) may change the notification type of the prompt notification provided when the prompt notification is provided every time the preset response time period (10 minutes) elapses, and the intensity is higher than when the prompt notification is repeatedly provided. It can be provided by changing it to a notification type.

Notification types of the prompt notification may include, for example, a first notification type that is a message type, a second notification type that combines a message and a vibration, a third notification type that combines a message and a ringtone, and a fourth notification type that is a call connection type. have.

For example, it is assumed that the grocery sharing unit (not shown) transmits an inquiry-related notification message to the terminal of the first user at 10 am today. At this time, the grocery sharing unit (not shown), if a confirmation response from the first user (that is, a response indicating that the inquiry-related notification message has been confirmed) is not made within 10:10 am, the first user at 10:10 am. A prompting notification for prompting a response to an inquiry-related notification message may be provided to the user's terminal in the first notification type (message form). At this time, within 10:20 am after the preset response deadline (for example, 10 minutes) has elapsed after the prompt notification is provided as the first notification type, if a confirmation response is not made from the first user, the food sharing unit ( not shown) at 10:20 AM, a prompting notification prompting a response to the inquiry-related notification message may be provided as a second notification type (a type in which vibration is generated in the terminal of the first user in addition to providing a message). have.

If the first user still does not give an acknowledgment despite providing the prompt notification as the second notification type, the food sharing unit (not shown) provides the prompt notification as the third notification type again, and this is also an acknowledgment response. If not, the prompt notification may be changed to the fourth notification type and provided again.

In this way, the grocery sharing unit (not shown) is limited to a preset time (for example, 1 hour) after the transmission of the inquiry-related notification message, until the first user's confirmation response (confirmation response to the inquiry-related notification message) is made in advance. Prompt notifications are repeatedly provided for each set response period (for example, 10 minutes), but when the prompt notifications are repeatedly provided, notification types may be varied and provided.

In this way, as the prompting notification is repeatedly provided while changing the notification type to the terminal of the first user selling groceries (ie, the user terminal 1'), the grocery sharing unit (not shown) receives an inquiry-related notification message. The first user may be induced to respond more quickly to the inquiry-related notification message (ie, the content of the inquiry made by the second user). That is, the food sharing unit (not shown) may allow the first user who sells food to more effectively recognize that an inquiry-related notification message has been received. Through this, the device 10 may support the second user to respond more quickly to the content of the inquiry about groceries that the second user wants to purchase (ie, the content of the inquiry to the first user).

In addition, as an example of the grocery sharing unit (not shown), it is assumed that the user 1 clicks the map menu in the [food sharing menu] displayed on the screen. In this case, the grocery sharing unit (not shown) responds to the user's click input on the map menu, based on sales location information in the plurality of foodstuffs information (information related to the plurality of foodstuffs) registered by the plurality of users, and stores the plurality of foodstuffs. A map in which the location of information is indicated by a mark icon may be displayed on the screen of the user terminal 1'.

At this time, the food sharing unit (not shown) displays food information on the screen of the user terminal 1' when the user clicks (selects) the map menu and selects it from among a plurality of food items. The mark icon corresponding to the food information of the first type (ie, the terminal is on) in which the terminal of the user who uploaded the food information is in an on state is selected, and the terminal of the user who uploaded the food information is in an off state at the time of selecting the second type of food information. It may be displayed in a form that is easier to recognize or identify than a mark icon corresponding to tangible (ie, terminal off) food information.

At this time, displaying the mark icon corresponding to the first type of food information in a form that is easier to recognize or identify than the mark icon corresponding to the second type of food information indicates a visually emphasized form (for example, a mark icon of a mark icon). It may mean displaying at least one of a shape with an enlarged size, a shape accompanied by an auditory effect, and a dynamic animation shape.

That is, when the terminal of the user who has uploaded first food information among a plurality of food items is in an on state, a mark icon corresponding to the first food information is displayed on the map as a dynamic animation, flickering every second, for example. can be displayed On the other hand, if the terminal of the user who has uploaded second food information among a plurality of food items is in an off state, a mark icon corresponding to the second food information may be displayed on the map in the form of a basic mark icon, for example.

In this way, by mapping mark icons corresponding to a plurality of foodstuff information on a map and providing them to the user, the device 10 can more intuitively grasp information on foodstuffs being sold by other users around the device 10 . Prices of groceries sold through the grocery sharing unit (not shown) may be relatively cheaper than those registered in the apparatus 10 and sold. Accordingly, the user can more easily purchase groceries sold by other users at a relatively low price through the groceries sharing unit (not shown).

In addition, in the present device 10, in mapping and providing mark icons corresponding to a plurality of foodstuff information on a map, the mark icon corresponding to food information of the first type (ie, the terminal is on) is mapped to a second type of food information. It may be displayed in a form that is easier to recognize or identify than a mark icon corresponding to tangible (ie, terminal off) food information. Through this, the user can distinguish and recognize food information that can be purchased right now based on the selection point of clicking (selecting) the map menu among a plurality of food information. That is, in the case of the first type of food information, as the seller's terminal is in an on state at the time of selecting the map menu in contrast to the second type of food information, the user sets the first type of food information to the second type of food information. It can be recognized as food that can be purchased immediately rather than information about food. Through this, the user can purchase the food he/she needs more quickly and at a lower price.

Hereinafter, based on the details described above, the operation flow of the present application will be briefly reviewed.

16 is an operation flowchart of a food information providing method according to an embodiment of the present disclosure.

The method of providing food information shown in FIG. 16 may be performed by the apparatus 10 described above. Therefore, even if the content is omitted below, the description of the device 10 can be equally applied to the description of the food information providing method.

Referring to FIG. 16 , in step S11, the input unit may receive a search word from the user.

Next, in step S12, the extraction unit may extract matching foods that match the search word from among a plurality of foods.

Next, in step S13, the control unit may display information on the extracted matching foods on the screen of the user terminal as a list.

In this case, information on matching foods may include pudding index information indicating food safety calculated in consideration of component analysis information of each matching food.

In addition, although not shown in the drawings, in the food information providing method according to an embodiment of the present application, before step S11, the analysis unit performs component analysis as food analysis and calculation of pudding index information for each of a plurality of foods, , matching and storing food analysis result information with each food. In this case, the analysis unit may perform food analysis based on component data collected from detailed information on each of a plurality of foods.

In addition, the analysis unit calculates the risk level of each ingredient in each food based on a plurality of recognized food additive regulations, and classifies the ingredients in each food into a plurality of predefined safety classification levels based on the calculated risk level. It is possible to perform component analysis to classify, and calculate pudding index information of each food based on the result of the component analysis (ie, based on the classification weight of components for a plurality of safety classification levels).

In addition, in step S13, when the user selects a first matching food among matching foods in the list, the controller may display detailed information of the first matching food on the screen. Here, the detailed information may include food detailed description information for the first matching food, ingredient information including ingredient analysis information, pudding index information, and review information.

Also, the pudding index information may be information displayed as points. In addition, the ingredient analysis information may be information displayed as graph information about the classification number information and classification weight of ingredients in a food for a plurality of safety classification levels. In addition, in step S13, ingredients in the first matching food may be displayed in different colors for each of a plurality of safety classification levels.

In addition, in step S13, the controller may display a filter menu for filtering foods to be searched for when searching for foods on one area of the screen. At this time, in step S12, the extraction unit may extract matching foods in consideration of filter setting information input by the user through the filter menu.

In addition, the filter menu may include a popular category menu including items excluding possible carcinogens, items excluding items capable of teratogenic substances, and items excluding items added with artificial substances. Also, the filter menu includes an excluded additive menu, and the user may search for and add items of an additive to be excluded through the excluded additive menu. In addition, the filter menu may include a family-customized filtering menu for searching for customized food customized to the characteristics of a member selected by the user based on profile information of the family member pre-registered by the user.

In addition, although not shown in the drawings, the food information providing method according to an embodiment of the present application may include, after step S13, a step of managing the user's diet based on the information of the consumed food registered by the user by the diet calendar management unit. can In this case, the diet calendar management unit may be able to manage the diet of each family member as the user can register information on food consumed by each family member.

In the foregoing description, steps S11 to S13 may be further divided into additional steps or combined into fewer steps, depending on an embodiment of the present invention. Also, some steps may be omitted if necessary, and the order of steps may be changed.

The food information providing method according to an embodiment of the present application may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the medium may be those specially designed and configured for the present invention or those known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to act as one or more software modules to perform the operations of the present invention, and vice versa.

In addition, the above-described food information providing method may be implemented in the form of a computer program or application stored in a recording medium and executed by a computer.

The above description of the present application is for illustrative purposes, and those skilled in the art will understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present application. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present application is indicated by the following claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts thereof should be construed as being included in the scope of the present application.

100: food information provision system
10: food information providing device
11: input unit
12: extraction unit
13: control unit
14: analysis unit
15: Food DB
16: Diet calendar management unit
1': user terminal
1: User
7: Network

Claims (6)

As a food information providing device,
an input unit that receives a search word from a user;
an extraction unit for extracting matching foods that match the search term among a plurality of foods;
An analysis unit that performs food analysis for each of a plurality of foods; and
Including a control unit for displaying the information of the extracted matching foods in a list on the screen of the user terminal,
The analysis unit calculates the risk level of each ingredient in each food based on a plurality of recognized food additive regulations, and classifies each food ingredient into a plurality of predefined safety classification levels based on the calculated risk level. A value calculated by performing component analysis to perform component analysis, and multiplying the number of components classified for a plurality of safety classification levels by a predetermined deduction score for each safety classification level based on component analysis information, which is information resulting from the performance of the component analysis. By subtracting from 100, the pudding index information of each food is calculated,
The control unit displays information on the matching foods as a list on the screen of the user terminal, including pudding index information indicating the food safety level calculated by the analysis unit in consideration of component analysis information of each matching food,
The pudding index information is information displayed as a score for each matching food, and the higher the number of scores, the lower the risk of the ingredient in the food, meaning that all ingredients in any one food among a plurality of foods Among the plurality of safety classification grades, when classified as a safety grade, which is a first type of classification grade, 100 points are displayed,
The analyzer performs component analysis based on the first component data of the first matching food determined to be normal record data by the component verification unit when performing component analysis of the first matching food among the matching foods,
The component verification unit,
Ingredient data of the first matching food pre-registered in the food information providing device is obtained as first ingredient data, and the first matching food is obtained from at least three or more online shopping malls selling the same food as the first matching food through web crawling. A plurality of second component data is acquired as component data of the matching food, and the plurality of component data including the obtained first component data and the obtained plurality of second component data are compared with each other, so that all of the plurality of component data match. If it is confirmed that the first component data is normal record data, and if only one component data among the plurality of component data is inconsistent, the inconsistent component in the one component data that is inconsistent is the first component data. In order to verify whether the ingredients included in the matching food are correct, the contact information of the manufacturer who manufactured the first matching food is obtained from the detailed information of the first matching food previously registered in the food information providing device, and the obtained manufacturer When a verification request message is transmitted to a manufacturer terminal corresponding to the contact information of and a response to the verification request message received from the manufacturer terminal is a response that it is true that the first matching food contains the inconsistent ingredient, the food It is determined that there is an error in the recording of the first ingredient data of the first matching food pre-registered in the information providing device, and the first ingredient data of the first matching food pre-registered in the food information providing device contains the mismatching ingredient. amend it,
Then, the analysis unit determines that the corrected first component data is normal record data and performs component analysis based on the corrected first component data. delete According to claim 1,
The control unit displays detailed information of the first matching food on the screen when the user selects a first matching food among matching foods in the list,
The detailed information includes detailed food description information for the first matching food, ingredient information including ingredient analysis information, pudding index information, and review information. According to claim 1,
The control unit displays a filter menu for filtering food searched for when searching for food on one area of the screen,
wherein the extraction unit extracts matching foods in consideration of filter setting information input by the user through the filter menu. According to claim 4,
Wherein the filter menu includes a popular category menu including possible carcinogen exclusion items, teratogenic substances exclusion items, and artificial substance-added food exclusion items, food information providing device. According to claim 1,
Further comprising a diet calendar management unit for managing the user's diet based on the information of the consumed food registered by the user;
The food information providing device according to claim 1 , wherein the diet calendar management unit is capable of managing the diet of each family member as the user can register information on food consumed by each family member.

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