KR20140049810A - System for recommending a food - Google Patents

System for recommending a food Download PDF

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Publication number
KR20140049810A
KR20140049810A KR1020120116078A KR20120116078A KR20140049810A KR 20140049810 A KR20140049810 A KR 20140049810A KR 1020120116078 A KR1020120116078 A KR 1020120116078A KR 20120116078 A KR20120116078 A KR 20120116078A KR 20140049810 A KR20140049810 A KR 20140049810A
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KR
South Korea
Prior art keywords
food
information
user
service user
constitution
Prior art date
Application number
KR1020120116078A
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Korean (ko)
Inventor
김용우
김성훈
Original Assignee
주식회사 핸디소프트
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Priority to KR1020120116078A priority Critical patent/KR20140049810A/en
Publication of KR20140049810A publication Critical patent/KR20140049810A/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0261—Targeted advertisements based on user location
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0613—Third-party assisted
    • G06Q30/0619—Neutral agent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

The present invention relates to a food recommendation system, and more particularly, to a context awareness based food recommendation system for recommending food based on context awareness. Food recommendation system according to an embodiment of the present invention comprises a user information storage unit for receiving the constitution and disease information of the service user to store in the user information storage database; A food intake information storage unit configured to receive ingestion information of food ingested by a service user and accumulate and store it in the database; A food information storage unit for classifying and storing ingestible food information in a database according to constitution and disease information; By referring to the constitution and disease information of the service user, a food recommendation unit for searching for and sending the recommended food for the user to the service user terminal; including, recommending food in consideration of the health condition and constitution of the service user Of course, since it recommends the optimal food by additionally reflecting various food selection determinants such as weather, time, and anniversary, the user's health as well as psychological satisfaction can be maximized.

Description

Context-Based Food Recommendation System {SYSTEM FOR RECOMMENDING A FOOD}

The present invention relates to a food recommendation system, and more particularly, to a context awareness based food recommendation system for recommending food based on context awareness.

With the rapid development of mobile devices, modern people can freely search for desired restaurants or well-being foods anytime, anywhere. In other words, by entering keywords on various portal sites or food recommendation sites, it is a way of recommending food or restaurants. In this way, the system that recommends food in a general way recommends only foods or restaurants that fit the keyword uniformly without considering the user's body type, constitution, and health condition. It is not enough to satisfy the users. Therefore, it is necessary to develop a more advanced food recommendation system that can satisfy various consumer needs, and focus on the development of a system that can provide various services more conveniently and easily by linking with mobile devices that are becoming more multifunctional. Needs to be.

Accordingly, the present invention has been made by the above-mentioned necessity, to provide a situation recognition-based food recommendation system that can recommend the optimal food in consideration of the constitution and disease information of the service user,

Furthermore, it recommends food in consideration of the health condition and constitution of the service user, but recognizes the optimal food by reflecting the granular food selection determinants such as weather, time, date, and location of the service user. To provide a food based recommendation system.

In another aspect, the present invention provides a situation-aware food recommendation system that can continuously manage the calorie and salt intake of the food ingested by the service user, and recommend the optimal food according to the calorie and salt intake information being managed. .

In addition, the present invention by expanding the food choice determinants to the user's body shape and health status, as well as the date, such as weather, time, anniversary, to recommend the food situation situation that can maximize the user's health as well as psychological satisfaction In addition to providing a food based recommendation system, a situational awareness-based food recommendation system that can provide information on a recommended food provider in the vicinity in consideration of the user's location in the food recommendation.

Food recommendation system according to an embodiment of the present invention for solving the above problems is a system for recommending food information to a service user terminal connected through a communication network,

A user information storage unit for receiving constitution and disease information of a service user and storing the information in a user information storage database;

A food intake information storage unit configured to receive ingestion information of food ingested by a service user and accumulate and store it in the database;

A food information storage unit for classifying and storing ingestible food information in a database according to constitution and disease information;

And a food recommendation unit for searching for the recommended food suitable for the user by referring to the constitution and disease information of the service user and transmitting the food to the service user terminal.

Furthermore, the food recommendation system according to an embodiment of the present invention,

It is installed and driven in a mobile terminal capable of wireless data communication, the information terminal module for a mobile terminal for wirelessly transmitting at least the component information and intake information of the food to be wirelessly transmitted as the food intake information to the food recommendation system; Characterized in,

In some cases, the method may further include a food ingredient detector including a sensor unit for detecting the ingredient information of the food in response to the food sample sample and a communication unit for transmitting the detected food ingredient information to the mobile terminal. .

In such systems, the sensor unit may detect one or more of salinity, acidity, sugar content, temperature, spicy taste, bitter taste, and caffeine concentration of the food sample sample, and further, the food information storage unit may be the primary food selection determinant. By categorizing and storing food information that can be ingested according to disease information and storing small categories by weather, time, and date, which are the second food selection determinants, the food recommender recommends foods optimized for the user according to the detailed food selection determinants. It features zoom.

In addition, by including cumulatively stored food intake information for each service user and includes a health care request unit for disseminating the warning message necessary for health care when exceeding the prescribed recommended amount, the user himself controls the type and amount of food There are features that can be induced to do so.

And the food recommendation system according to the embodiment of the present invention described above,

By further including a user location information acquisition unit for acquiring the location information of the service user from the service user terminal, it is possible to first recommend the recommended food provider located near the user when recommending food.

According to the embodiment of the present invention as described above, since the present invention recommends the optimal food in consideration of the constitution and disease information of the service user compared to the conventional service method that recommends food by simply entering a keyword, the service user To maintain or improve your health,

Furthermore, it recommends food in consideration of the health condition and constitution of the service user, and recommends the best food by reflecting various food selection determinants such as weather, time and anniversary. There is an effect that can be maximized, and in some cases, considering the location of the service user, it is also possible to expect the effect of providing the convenience along with the recommendation of food or restaurants is made.

In addition, the present invention continuously manages the calorie, salt intake, caffeine intake of the food ingested by the user of the service, and spreads the necessary message for health care when the intake of the food ingredient under management exceeds the recommended amount, There is also an effect that can induce the user to selectively intake the amount of food and the type of food ingested.

1 is an exemplary configuration around a food recognition system based on situational awareness according to an embodiment of the present invention.
FIG. 2 is a detailed configuration example of each block of the system shown in FIG. 1; FIG.
3 is a view for explaining the operation of the context-based food recommendation system according to an embodiment of the present invention.
4 to 7 illustrate screen display examples displayed on the mobile terminal 200 according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, when it is determined that a detailed description such as a known function or configuration, for example, a configuration of a mobile terminal, may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted.

First, Figure 1 is an exemplary configuration around the context-based food recommendation system 400 according to an embodiment of the present invention, Figure 2 illustrates a detailed configuration of each block around the system shown in FIG.

Referring to Figure 1, the food recommendation system according to an embodiment of the present invention may be configured as a situation-based food recommendation system 400 alone, the information relay module for a mobile terminal installed and driven in the mobile terminal 200 It can also be called a food recommendation system, including (also called a wireless app). In some cases, a configuration including an additional food ingredient detector 100 for detecting salinity, sugar content, and caffeine concentration of each food may be referred to as another food recommendation system.

Hereinafter, each component constituting the food recommendation system will be described. First, the food ingredient detector 100 detects the ingredient information of the food by reacting with the food sample sample, and performs the short-range wireless communication (Bluetooth, Wi-Fi) capable mobile terminal 200. ) To transmit to. To this end, the food ingredient detector 100 reacts with a food sample sample to detect a food ingredient information of the food, and a communication unit (Bluetooth module, Wi-Fi) for transmitting the detected food ingredient information to the mobile terminal 200. Module), and may further include a display unit for displaying a food ingredient. For reference, food ingredient information is a concept that includes salinity ingredient, sugar content, acidity ingredient, spicy flavor capsaicin ingredient, and caffeine ingredient included in the food sample sample. The sensor unit may include one or more sensor units for detecting one or more of salinity component, sugar content, acidity component, capsaicin component, and caffeine component.

The mobile terminal 200 transmits the ingredient information of the food that is wirelessly transmitted from the food ingredient sensor 100 to the food recommendation system 400 together with the intake information. To this end, the mobile terminal 200 is provided with a mobile terminal information brokerage module called a wireless app (App) is installed and driven, the information broker module at least the component information of the short-range wireless transmission of the food recommendation system with the food intake information Wireless transmission to 400. The information intermediary module 210 is a system connection request unit 212 for requesting connection with the food recommendation system 400 when a service user requests execution of a service, as shown in FIG. 2, and measurement of food components from a service user. Upon request, the food ingredient information acquisition unit 216 obtains by requesting the transmission of food ingredient information to the detector connection request unit 214 and the wirelessly connected food ingredient detector 100 that attempts a wireless connection with the food ingredient detector 100. And a food ingredient information display unit 220 for transmitting the food ingredient information display unit 218 for displaying the obtained food ingredient information to the terminal 200 and the food ingredient information to the food recommendation system 400. It includes.

By such a configuration, the user of the mobile terminal 200, that is, the service user, may store his or her constitution and disease information, personal information, and the like in the food recommendation system 400, and may receive a food recommendation service to be described in detail below. Will be. Of course, the service user may be able to input his / her user information primarily through the general computer system 300. For reference, in FIG. 1, reference numeral 500 illustrates a meteorological office server, and provides weather information to the food recommendation system 400.

The food recommendation system 400 shown in FIG. 1 is a system for recommending food information to the service user terminals 200 and 300 connected through a wired / wireless communication network. A detailed configuration thereof is as shown in FIG. 2.

Referring to FIG. 2, a food recommendation system 400 according to an embodiment of the present invention includes a user information storage unit 410 for receiving constitution and disease information of a service user and storing it in a user information storage database 450. , The food intake information storage unit 420 for receiving and receiving the intake information of the food ingested by the service user in the database 450, the food information ingestible according to the constitution and disease information to the food information database 460 A food information storage unit 430 for classifying and storing, and a food recommendation unit 440 for searching for recommended foods suitable for the user by referring to the constitution and disease information of the service user and transmitting the food to the service user terminal 200. do. The food recommendation unit 440 may calculate and transmit a cumulative intake amount for a particular food ingredient (salin, sugar, caffeine) from the food intake information stored for each user. The food intake information in such a system preferably includes the food name, concentration of food ingredients, food intake information.

For reference, the user information storage DB 450 stores user's constitution and disease information, user's personal information, and user's food intake information. The constitution information is classified as Soyangin, Soinin, Sunin, and Taeinin. And specific food reaction allergy information refers to, disease information refers to diseases such as high blood pressure, diabetes, heart disease, kidney disease, high obesity.

Meanwhile, the food information DB 460 stores food information to be recommended. The storage method may be stored in various forms according to the type of food recommendation service query. For example, by setting the constitution and disease information as the primary food selection determinant, a DB can be constructed using only the food information that can be consumed by a person having a specific constitution and disease, and the recommended foods that can be consumed by the constitution and disease are reconstructed. Seasons, weather, time, and date can be set as secondary food selection determinants to further segment and store recommended foods according to secondary food selection determinants. By such a DB configuration, for example, it is possible to recommend a food called A as a summer lunch form to service users with diabetes.

Furthermore, the food information DB 460 additionally stores additional information about each recommended food. The additional information includes a standard calorie of the recommended food and a specific ingredient content of the food (for example, a salt content of one bowl of broiler chicken is 10 g). ), It is assumed that the information refers to information such as the origin of the food and the restaurant for the recommended food. Such additional information may also be provided in various modifications according to service quality.

In addition to the above-described configuration, the food recommendation system 400 queries the cumulatively stored food intake information for each service user, and provides a health care request unit 480 to propagate a warning message when the prescribed amount is exceeded, and the service user from the service user terminal 200. The apparatus may further include a user location information acquisition unit 490 for obtaining location information. According to the additional configuration of the location information acquisition unit 490, the food recommendation unit 440 may first recommend a restaurant located near the user when recommending food.

Hereinafter, operations of the food ingredient detector 100, the information intermediary module 210, and the food recommendation system 400 having the above-described configuration will be described in detail with reference to FIG. 3.

3 is a view for explaining the operation of the context-based food recommendation system 400 according to an embodiment of the present invention, Figures 4 to 7 is a mobile terminal 200 according to an embodiment of the present invention The screen display diagram shown in FIG. 1 is an example. Prior to the description, the food information DB 460 of the food recommendation system 400 primarily stores the food information that can be ingested according to the constitution and disease information, which are the primary food selection determining factors, and is largely stored by the manager, and the second food selection decision is made. It is assumed that the subclassification is stored by the weather, time, and date (step S10). It can be assumed that not only the food information but also the restaurant information known as a restaurant is stored.

Referring to FIG. 3, first, a service user wants to download and install the information brokerage module 210, which is called a scary app, and installs it on his mobile terminal 200. In the login screen corresponding to the initial screen, the user may register as a service user. In the process of joining the service, the user who wishes to use the service transmits service user information such as his / her constitution and disease information and personal information to the system 400 (step S12), so that the user information storage unit 410 of the system 400 The received information may be stored in the user information storage DB 450 (step S14). Up to this point, the process of downloading the first wireless app, providing user information, and registering as a service user member is described.

After the service user who has registered as a member executes the information broker module 210, the system connection request unit 212 of the information broker module 210 requests the user to provide information necessary for logging in, and provides the system 400 with the provided information. ) To log in to the food recommendation system 400 (step S16). When the login is completed, the main screen as shown in FIG. 4 is displayed on the display unit of the mobile terminal 200 (step S18). On the main screen, cumulative intake information about a particular food component, for example, salt, ingested by a service user for a certain period of time is displayed. This cumulative intake information may be designed and modified to be provided at the request of the service user.

On the other hand, through the main screen, the service user can measure the components such as salinity, sugar content, caffeine concentration for the food they want to eat. To this end, when the service user requests the measurement of the ingredients of a particular food through the display unit, the screen is switched to the measurement mode screen as shown in FIG. 5. Through such a display screen, the service user finds a food (eg, chueotang) he or she wants to eat from the food list item to be measured, and then connects the food ingredient sensor 100 with short-range wireless communication, for example, Bluetooth. Activate the module. When the Bluetooth module is activated, the sensor connection request unit 214 attempts a wireless connection with the food ingredient detector 100 (step S20). When a channel for short-range wireless communication is connected between the food ingredient detector 100 and the mobile terminal 200, the service user reacts the food sample sample to the food ingredient detector 100. If it is assumed that the food ingredient detector 100 is a detector capable of detecting only salinity, the salinity of the chueotang detected by the detector is transmitted to the information relay module 210 at the request of the food ingredient information acquisition unit 216 and the display injury Will be displayed (step S22).

The service user will be able to know the salinity of the chueotang he wants to ingest, if you want to store and manage it in the food recommendation system 400, press the 'record and save' button displayed on the display screen shown in FIG. Choose. In response, the food ingredient information transmitting unit 220 transmits the salinity of the chueotang detected by the detector 100 to the system 400 as food ingredient information (step S24). For reference, in order to know the correct intake of salinity, it is preferable to transmit the food intake information ingested by the service user to the system 400. To this end, if the food intake gauge is displayed on the display screen as shown in FIG. 4, and the service user inputs the food intake amount through the gauge, the food intake system 400 determines the salinity information of the food ingested by the service user. This is because the final salt intake can be calculated from the intake information. If the service user is not a system that can input the intake information of food intake, the system 400 simply makes a salt content contained in one bowl of Chueotang with a salinity of A% by concentration and ingested the DB It may be cumulative.

Through the above process, the service user may accumulate and store food ingredient information such as salinity, sugar content, caffeine concentration, and acidity, respectively, for the foods ingested (step S26). 6 shows a cumulative graph of salt ingested by a specific service user. The accumulated intake information may be automatically displayed at the request of the service user or on the initial main screen. If the cumulative intake for a particular food ingredient exceeds a predetermined recommended amount, the health care requesting unit 480 propagates a warning message to the service user to induce the service user to limit the intake of the particular food ingredient, thereby inducing the health of the service user. Can help with management

Meanwhile, the service user may request a food recommendation using the 'Food of the Day' button on the main screen as shown in FIG. 4. If there is a food recommendation request from the service user (step S28), the food recommendation unit 440 simply refers to the service user's constitution and disease information to search for recommended foods suitable for the user (step S30) and the user's mobile terminal ( 200, and display (step S32, step S34). At this time, since the recommended food is also recommended by referring to the user's constitution or disease information, it may be a well-being food or health care food that can maintain the health of the service user.

 If today is the day to generally consume a particular food, such as the day, the food recommendation unit 440 first queries the recommended foods to eat according to the constitution and disease information of the service user, which is the primary food selection determinant, Within the inquired foods, foods that can be consumed according to the second food selection determinant date, that is, day by day, may be selected and provided as the final recommended food. In this case, FIG. 7 illustrates a screen displayed on the mobile terminal 200. The display screen as shown in FIG. 7 assumes a case of recommending dano grain rice to a service user with diabetes. Furthermore, if a system that provides the recommended food is located near the service user and provides the recommended food for the recommended food, the present invention provides various situations such as the date, constitution, disease, location, etc. of the service user. It will be as good as one intelligent network food recommendation system that comprehensively recognizes and recommends the best food.

According to the embodiment of the present invention as described above, since the present invention recommends the optimal food in consideration of the constitution and disease information of the service user compared to the conventional service method that recommends food by simply entering a keyword, the service user Recommends food in consideration of the health and constitution of the service user, and recommends the best food by reflecting various food selection determinants such as weather, time, and anniversary. As a result, it is possible to maximize the user's health as well as psychological satisfaction, and in some cases, food recommendation or restaurant recommendation is made in consideration of the service user's location.

In addition, the present invention continuously manages the calorie, salt intake, caffeine intake of the food ingested by the user of the service, and spreads the necessary message for health care when the intake of the food ingredient under management exceeds the recommended amount, There is also an effect that can induce the user to selectively intake the amount of food and the type of food ingested.

On the other hand, the present invention has been described with reference to the embodiments shown in the drawings but this is only exemplary, those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Accordingly, the true scope of the present invention should be determined only by the appended claims.

100: food ingredient detector 200: mobile terminal
300: service user terminal 400: food recommendation system

Claims (9)

In the system for recommending food information to a service user terminal connected through a communication network,
A user information storage unit for receiving constitution and disease information of a service user and storing the information in a user information storage database;
A food intake information storage unit configured to receive ingestion information of food ingested by a service user and accumulate and store it in the database;
A food information storage unit for classifying and storing ingestible food information in a database according to constitution and disease information;
And a food recommendation unit for searching for and recommending food suitable for the user by referring to the constitution and disease information of the service user and transmitting the same to the service user terminal. The mobile terminal of claim 1, further comprising: an information intermediary module for mobile terminal, which is installed and driven in a mobile terminal capable of wireless data communication and wirelessly transmits at least short-range wireless component information and intake information as food intake information to the food recommendation system; Situational awareness-based food recommendation system characterized in that it further comprises. The method according to claim 2, The information terminal module for a mobile terminal,
Situational awareness-based food recommendation system characterized in that the display of the ingredient information of the food to be transmitted over the mobile terminal. The food ingredient detector of claim 2, further comprising a sensor unit for detecting the ingredient information of the food in response to the food sample sample and a communication unit for transmitting the detected food ingredient information to the mobile terminal. Context-aware food recommendation system. The system of claim 4, wherein the sensor unit detects one or more of salinity, acidity, sugar content, temperature, spicy taste, bitter taste, and caffeine concentration of the food sample sample. The method according to claim 1, wherein the food information storage unit stores large amounts of food information that can be ingested according to the constitution and disease information, which are the primary food selection determining factors, and the second food selection determining factor. And a time category, and stores a small classification, the food recommendation system based on the situation-aware food recommendation, characterized in that to recommend food according to the segmented food selection decision factor. The food recommendation based on any one of claims 1, 2, and 4, wherein the food recommendation unit calculates and transmits a cumulative intake amount of a specific food ingredient from the cumulatively stored food intake information for each user. system. The method according to any one of claims 1, 2, and 4, further comprising: a health care request unit for inquiring cumulatively stored food ingredient intake information for each service user and distributing a warning message when a prescribed recommended amount is exceeded. Context-aware food recommendation system. The restaurant of claim 1, further comprising a user location information acquisition unit for obtaining location information of a service user from a service user terminal, wherein the food recommendation unit is located at a user's local area when recommending food. Situation-aware food recommendation system characterized by recommending first.
KR1020120116078A 2012-10-18 2012-10-18 System for recommending a food KR20140049810A (en)

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106204351A (en) * 2016-07-20 2016-12-07 宁波公众信息产业有限公司 A kind of catering service system
CN107144087A (en) * 2017-05-11 2017-09-08 海尔优家智能科技（北京）有限公司 A kind of intelligent article management method, equipment and storage medium
KR20180110754A (en) * 2017-03-30 2018-10-11 한국전자통신연구원 Method for providing food information based on food suitability and apparatus using the method
CN109559003A (en) * 2017-09-27 2019-04-02 重庆凯泽科技股份有限公司 Catering system and method based on recognition of face
KR20190047296A (en) * 2017-10-27 2019-05-08 주식회사 두잉랩 Methods for management of nutrition and disease using food images
KR20190098799A (en) * 2018-01-30 2019-08-23 경북보건대학교 산학협력단 A unit for deciding numerical value of a seasoning of soup
KR102106282B1 (en) * 2019-09-19 2020-05-07 임우진 Personalized meal management system
CN111758113A (en) * 2018-01-16 2020-10-09 哈比有限公司 Method and system for a pet health platform

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106204351A (en) * 2016-07-20 2016-12-07 宁波公众信息产业有限公司 A kind of catering service system
KR20180110754A (en) * 2017-03-30 2018-10-11 한국전자통신연구원 Method for providing food information based on food suitability and apparatus using the method
CN107144087A (en) * 2017-05-11 2017-09-08 海尔优家智能科技（北京）有限公司 A kind of intelligent article management method, equipment and storage medium
CN109559003A (en) * 2017-09-27 2019-04-02 重庆凯泽科技股份有限公司 Catering system and method based on recognition of face
KR20190047296A (en) * 2017-10-27 2019-05-08 주식회사 두잉랩 Methods for management of nutrition and disease using food images
KR20210075955A (en) * 2017-10-27 2021-06-23 주식회사 두잉랩 Methods for management of nutrition and disease using food images
CN111758113A (en) * 2018-01-16 2020-10-09 哈比有限公司 Method and system for a pet health platform
KR20190098799A (en) * 2018-01-30 2019-08-23 경북보건대학교 산학협력단 A unit for deciding numerical value of a seasoning of soup
KR102106282B1 (en) * 2019-09-19 2020-05-07 임우진 Personalized meal management system

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