58 results about "Nutrition analysis" patented technology

The invention discloses a food nutrition analysis and health management system. The food nutrition analysis and health management system comprises an intelligent terminal, a service platform, food storage equipment, food cooking equipment and user physical sign measurement equipment. The food storage equipment is used for acquiring food types, adjusting own storage temperature according to the food types and recommending recipes according to existing food stock; the user physical sign measurement equipment is used for detecting physical sign information of a user and uploading to a service platform; the intelligent terminal is used for controlling the food storage equipment, the food cooking equipment and the user physical sign measurement equipment; the food cooking equipment is used for acquiring recipes from the service platform and cooking according to the recipes; the service platform is used for recommending recipes according to the physical sign information of the user and providing nutrition analysis and health management advices for the user according to the physical sign information and historical dietary information. Therefore, on the basis of daily diet habits of the user, the historical dietary information and physical signal information of the user are dynamically known to intelligently provide healthy recipes for the user.

The invention provides a control method and a control system for kitchen appliances. The control method comprises steps as follows: when a server receives a cooking recipe reading command sent by a terminal, at least one stored cooking recipe is sent to the terminal, so that the terminal displays at least one cooking recipe stored in the server for selection of a user, wherein each cooking recipe comprises cooking steps, cooking raw materials, cooking appliances, brief recipe introduction and / or nutrition analysis; when the user selects a target cooking recipe from the cooking recipes on the terminal, a target cooking recipe selection command sent by the terminal is received, and the target cooking recipe is selected; based on the received staring command, the server controls the corresponding cooking appliance to operate according to the cooking steps in the target cooking recipe. With the adoption of the technical scheme, direct and correct cooking steps can be provided for the user without sufficient cooking experience, and accordingly, the use experience of the user is improved.

The invention discloses a personalized nutritional recipe recommendation method and system based on users' conditions. The method comprises following steps: obtaining personal information, body conditions, diet requirements and diet wishes inputted by users; calculating edible caloric value and all needed nutriment values of the nutritional recipe this time; making analyses of probabilities of the users who lack or overeat nutrients; and calculating to generate personalized nutritional recipes of personal references. The system comprises an information acquisition module, a nutrition calculation module, a nutrition analysis module, a diet recipe generation module and a diet recipe display module. The personalized nutritional recipe recommendation method and system based on user's conditions have following beneficial effects: personalized nutrition recipes can be generated for different users; recipes easily satisfying the nutrition requirements can be automatically selected so that calculating difficulty and time are greatly minimized; through reasonable balance, personal preferences of users can be taken into consideration in order to effectively improve practicability of nutrition recipes; and the invention can be extensively applied to daily lives.

The present disclosure provides a system and method for determining a nutritional value of a food item. The system and method utilizes a food container as a model to adjust various types of distortions that exists in an instant image of the food container that retains the food item. The instant image may be compared to the model image of the food container to correct any distortions. The food container includes a boundary which has a predetermined color. The predetermined color of the boundary can be used to adjust the color configuration of the instant image, thereby increasing the accuracy of the food identification.

The invention relates to the field of smart home, in particular to a multifunctional smart dining table with the nutrition analysis function. The multifunctional dining table with the food nutrition analysis function, physical examination function, phone function, entertainment function and food heat preservation and cooling function is designed, food species and weights are obtained automatically, then, the nutritional ingredients and calories are analyzed out, prompting is conducted according to the intake of a user, and good healthy dietary habits are developed. The multifunctional smart dining table has the advantages that multiple sensors are adopted, and the dining table is made to have the intelligent function and can intelligently judge and analyze data; better use experience and comfort degree are provided for the user; a body detection module is arranged on the dining table and can check general parameters of the human body, and a physical examination is conducted while the user has a meal; the nutritional ingredients and calories are analyzed according to the food species and amount, a data table of each meal is formed, when a sample is big enough, the dietary habits of the user can be analyzed out, and dining suggestions are provided for the user by combining the physical examination situations.

The present disclosure provides a system and method for determining a nutritional value of a food item. The system and method utilizes a food container as a model to adjust various types of distortions that exists in an instant image of the food container that retains the food item. The instant image may be compared to the model image of the food container to correct any distortions. The food container includes a boundary which has a predetermined color. The predetermined color of the boundary can be used to adjust the color configuration of the instant image, thereby increasing the accuracy of the food identification.

The invention establishes a set of nutritional profiles in a data processing system, which are utilized to establish an optimal meal menu for a given time and location and with regard to a set of available ingredients. The invention includes a profiling routine where a set of characteristics of a particular individual is entered. The characteristics are aggregated with data saved for other patrons. When an individual with an established profile enters a networked eatery, they initiate a menu routine by entering their identification. The routine matches the information with the aggregated data to determine a patron match, which in turn is matched with the set of characteristics to determine an optimal menu plan. The optimal menu plan is matched with the set of available ingredients to produce a menu. Selected menu items are recorded to the patron's nutritional profile which can be visually represented in any of several formats.

The invention discloses a nutrition management method based on personalized precision and a diet guidance system. According to the method, the personalized nutrition information is acquired based onthe user basic information and the questionnaire answer information, the optimal intake of multiple nutrients required by a user is adjusted based on the user's correction information for the multiplenutrients, the nutrient intake that the user should take regularly or irregularly is acquired, and a corresponding diet plan is made and designed on the basis. In combination with a nutrition risk screening questionnaire, required daily nutrition values can be scientifically and accurately acquired, the method is suitable for general public nutrition analysis self testing, quantitative personalized nutrition analysis is more scientific and accurate; precise matching from nutritional analysis to dietary advices is realized.

The invention discloses a picture-based food nutrition analysis method and device and calculation equipment. The method includes: acquiring at least one food picture; inputting the at least one food picture into a semantic segmentation module, which is obtained through training, to obtain a semantic segmentation result of each food picture, wherein the semantic segmentation result contains a segmentation result of each food material in the food picture; carrying out three-dimensional modeling according to the semantic segmentation result of the at least one food picture, and estimating and obtaining volume information of each food material; analyzing nutrient composition and / or calorie information of each food material according to the segmentation result and the volume information of eachfood material; and calculating and obtaining nutrient composition and / or calorie information of a food in the food picture according to the nutrient composition and / or the calorie information of eachfood material. Therefore, by utilizing the solution of the invention, the nutrient composition and / or the calorie information of the food in the food picture can be quickly obtained, and then a reference suggestion can be provided for diet of a user.

The invention discloses an intelligent diet analysis system. The intelligent diet analysis system comprises an image acquisition module and a nutrition analysis module, wherein the image acquisition module is used for acquiring target food images at preset intervals and sequentially sending the acquired food images to the nutrition analysis module; the nutrition analysis module is used for determining food names and nutrition ingredients of the corresponding food according to the food images, comparing the Nth received food image with the (N-1)th received food image to determine the food variation of the Nth food image as compared with the (N-1)th food image, and thereby determining the daily intake of the nutrition ingredients when completing the acquisition of the Nth received food image according to the determined food name of the Nth food image, the nutrition ingredients of the corresponding food and the food variation, so as to accurately obtain the human daily intake of each nutrition ingredient in an eating process. And besides, the intelligent diet analysis system can be used conveniently and is suitable for detecting the human daily intake of the nutrition ingredients for a long term.

The invention provides a business method for reasonable confecting and conveying nutrition fast food which is an intensification business operation mode making health consultation, nutrition analysis, food material confecting, vegetable processing and covering as a whole. The method includes steps as follows: preparing scientific nutrition confecting food scheme, establishing direct business platform, nutritionist processing nutrition analysis and actuarial created operating sheet, purchasing food, preliminary processing, confirming the nutrition set food package, confirming a flow of fresh keeping method for the nutrition set food, a cooking method for the nutrition set food and a health management guiding, confirming conveying food area and channel, layouting conveying food flow which can realize aim of individuation equal nutrition confecting all meals.

The invention discloses a clinical nutrition diagnosis and treatment simulation system. The clinical nutrition diagnosis and treatment simulation system comprises an evaluation module, a diagnosis module, an intervention module, a monitoring module and an effect evaluation analysis module; the clinical nutrition diagnosis and treatment simulation system further comprises intelligent databases including an evaluation database, a diagnosis database, an intervention database and a monitoring database. A user using the system can make a diagnosis according to a diagnosis prompt; the intelligent databases also include the intervention database which comprises a nutrition analysis model, and the nutrition analysis model is used for classifying and refining a nutrition problem into a three-level nutrition problem and generating intervention information according to the intervention model. The clinical nutrition diagnosis and treatment simulation system disclosed by the invention can be used for systematizing the implementation of clinical nutrition intervention and can be used as a training tool for behavior formation of nutrition diagnosis and treatment personnel in hospitals; the nutrition problem can be accurately defined; the nutrition problem analysis model can be upgraded so as to be kept synchronous with the latest research result in the industry.

The invention discloses an automatic analysis and calculation system of food nutritional components based on a smart phone. The system comprises a smart phone with a high-definition camera system, and the smart phone comprises a smart label and a mobile terminal APP with a food variety identification program, a food nutritional components information aggregation program, a human body nutrition calculation and evaluation program, a food nutrition analysis and calculation program and a food nutrition feedback and suggestion program. The invention further discloses a method of downloading the mobile terminal APP. According to the system, body evaluation can be conducted on an individual by means of the APP in advance, and rational nutrition arrangement and combination of the individual during a period of time are determined; moreover, the information of purchased vegetables can be acquired by means of camera scanning of the smart phone, nutrient composition is rapidly analyzed, and finally the conclusion whether or not other vegetables need supplementing is drawn based on the analysis, so that the purpose that the individual obtains the most rational nutrition arrangement and combination is achieved.

Methods and systems for nutritional analysis involving receipt, structuring and information extraction unstructured, natural language food related data such as, without limitation, an ingredient, a recipe, a food or a combination of the forgoing to produce in real time, human accuracy level nutrition analysis and diet / allergen tagging of the food related data. The process involves structuring data by mapping it to a database of foods, ingredients, measures, techniques and food qualifiers, combining the mapped data into constructs according to a data model organized in a food ontology, parsing the constructs into meaningful combinations of food, quantities, measures and techniques; and assigning nutrient data to such combinations Further processing involves adjusting nutrient content, or assigning diet information and allergen information to a list of parsed foods or to a recipe, resulting in final data which may then be exported or displayed to a user.

The present invention discloses a food vitamin analysis method. The method comprises the steps of: the step (1), creating a food type data table, dividing 872 types of foods into 16 food types required by creation of a database, and generating a corresponding food type marker codes; the step (2), creating a food name data table, and employing food numbers to generate food name marker codes; the step (3) creating a nutrient name data table, employing 16 nutrients to generate nutrient marker codes, and finding corresponding international nutrient symbols; the step (4), creating a nutrient content data table to generate nutrient content codes; and the step (5), integrating the four data tables, forming a food nutrient database, and inputting the data tables into an Access to form a database.The food vitamin analysis method is used for the majority of users to make databases, is a new method for nutrition analysis, is suitable for wide application, and can meet the survey of a nutrition subject which requires obtaining the concrete nutrient content in the diet which is eta by the users recently.

The invention discloses a method and a system for nutrition survey and analysis on basis of the semi-quantitative food frequency method. The method includes the steps of (1), acquiring information about food for people under survey, classifying the food that the to-be-surveyed people taken within a certain time slot according to food classes, and then acquiring acceptable intake in each food class; (2), processing the acceptable intake of each food class acquired in the step (1) to obtain the daily average acceptable intake of each food class; (3), calculating according to the daily average acceptable intake in each food class on the basis of eating frequency of common food in each class and a food composition table to obtain daily average energy and daily average nutrient acceptable intake, from each food class, of the people under survey. Since the calculation mode and the analysis mode of the daily average nutrient acceptable intake are improved, the method and the system have the advantages of effectively solving problems that conventional nutrition analysis and survey modes are of poor representativeness or are not easy to realize quantitative analysis as compared with the prior art.

The invention discloses an infant development monitoring system and method based on artificial intelligence. The system comprises a development evaluation module, an infant limb movement ability identification module, a sleep monitoring module, a nutrition detection module and a doctor's advice tracking module; the infant limb movement ability identification module is used for acquiring a movementpicture or video of an infant and capturing and extracting feature points in the movement picture or video by a self-adaptive least square method; a movement track of the feature points is formed through linear prediction and iterative adjustment, the movement track is compared with the movement track of the feature points in the standard movement image, and the fitting degree of the two tracks is observed. According to the invention, artificial intelligence is applied to intelligent reminding of image recognition and medical advice tracking in infant movement capture and a neural network analysis method for food nutrition analysis, so that the growth of children is comprehensively monitored and personalized and professional guidance is given, the investment of manpower and material resources is reduced, and the nursing cost is reduced.

The invention relates to an artificial intelligence technology, and discloses a food nutritional ingredient analysis method. The method comprises the following steps: carrying out interference removal processing on a to-be-identified food picture to obtain a standard food picture; performing food region segmentation and classification on the standard food picture by using a pre-constructed picture segmentation model to obtain a segmented food picture and a corresponding food category; according to the food category and the identification category, selecting a corresponding food identification model to carry out food identification on each segmented food picture to obtain a corresponding food name; querying nutritional ingredients of the corresponding food according to the food name to obtain a nutritional ingredient subset; and performing missing nutrition analysis according to the standard dietary nutritional ingredient set and the nutritional ingredient subset to obtain to-be-supplemented nutritional ingredients. The invention also relates to blockchain technology, in which the subset of nutritional ingredients can be stored in blockchain nodes. The invention further provides a food nutritional ingredient analysis device, equipment and a medium. According to the invention, the accuracy of food nutritional ingredient analysis can be improved.

The invention provides a nutritional set meal recommendation method and device. The nutritional set meal recommendation method comprises the steps of obtaining a meal ordering historical data of an individual user, wherein the meal ordering historical data includes all catering data counted within each time period of the individual user; performing nutrition analysis on all of the catering data toobtain a nutrition analysis result of the individual user; and recommending a nutritional set meal for the individual user according to the nutrition analysis result. Compared with the prior art, nutrition analysis can be performed on the historical meal ordering data of each user, and a nutritional set meal is recommended for each user according to the nutrition analysis result thereof. When theuser orders a meal, the ordered set meal is a nutrition balanced set meal recommended based on the nutrition analysis result of the individual user, thereby being conducive to improving the healthy meal ordering experience of the individual user.

The invention discloses a landscaping engineering management system based on a smart cloud platform. Comprising a flower planting region division module, a planting region image acquisition module, a flower growth stage analysis module, a flower growth vigor parameter acquisition module, a flower growth nutrition analysis module, a region weed growth parameter acquisition module, a weed growth trend analysis module and a planting region personnel monitoring module. A personnel behavior action analysis module and a garden flower management center; flower images of each sub-region in a to-be-monitored garden flower planting region are collected, flower growth nutrition conditions and weed growth trends of each sub-region are analyzed, corresponding processing measures are taken after comparative analysis, and behavior actions of personnel around each sub-region are obtained at the same time. And acousto-optic early warning reminding is carried out on each sub-region with uncivilized behaviors, so that the purpose of protecting the garden flower greening region in time is achieved, and garden flower greening management is more intelligent and efficient.

The invention provides a tissue culture medium nutrition detection system based on big data analysis and belongs to the technical field of informatized tissue culture. The tissue culture medium nutrition detection system comprises a central processing unit, a storage module, an ion detection module, a nutrition analysis module, a biological species analysis module, an information database, an alarm reminding module and a tissue culture management module. The central processing unit controls operation of each system, the culture medium ion concentration is detected and then is converted into a culture medium nutritional ingredient content, whether a culture medium needs to be replaced is then determined according to the analysis on species information and growth status of tissue culture plants, reminding is performed to remind technicians to replace the culture medium; the tissue culture standard is updated by utilizing big data analysis of Internet, the dependence on the technicians is reduced, requirements for informatization and modern agriculture are met, and the effect of reducing planting cost is achieved.

The invention discloses an intelligent nutritionist accurate analysis and comparison system. The system comprises a client, a registration and login module, a nutrition database, a nutrition algorithm analysis module and a management module which are connected with one another. The invention further discloses a using method of the intelligent nutritionist accurate analysis and comparison system, and the method comprises the steps: acquiring the basic information of a user, and matching with a corresponding nutrition database according to the basic information of the user, wherein the corresponding nutrition database comprises the average intake and the maximum intake of various nutrients needed by the user; obtaining answer information of the user to the nutrition risk screening questionnaire, and according to the answer information, obtaining correction information used for improving the physical state of the user to various nutrients; according to the correction information of the user on the various nutrients, adjusting the nutrient intake required by the user every day to obtain the optimal intake; and feeding back information to the user. The problem of realizing personalized accurate nutrition analysis and diet guidance on the system is solved.

The present invention discloses a nutrition analysis detection apparatus, which comprises: a data acquisition module for acquiring user information; a data evaluation module for evaluating the nutrition condition of the current user according to the screening and evaluation of each measuring scale, identifying the malnutrition risk of the user, judging the malnutrition degree of the user with themalnutrition risk, determining the malnutrition type and discovering the malnutrition reason; a data processing module for selecting and processing a nutrition scheme according to the content of eachmeasuring scale by the user, and analyzing the nutrition support way, the nutrition support type and the nutrition support degree of the user according to the content of each measuring scale and the information of the evaluation result; and a data nutrition management module for analyzing the user according to the content and the evaluation result of each measuring scale and providing nutrition personalized guidance. By implementing the invention, the apparatus carries out comprehensive evaluation and analysis on the nutrition condition of the user, and carries out nutrition support accordingto the actual demand of the user.

The invention discloses an intelligent kitchen management system. The system comprises an intelligent ordering module which records the ordering information according to face recognition information of diners, manages diner information, food reservation information, consumption information and performs kitchen management optimization; a nutrition analysis module which is used for performing food nutrition analysis on the ordering information of the diner; an optical disk identification module which adopts an intelligent weighing technology, an intelligent image identification technology and an artificial intelligence identification technology to judge whether an optical disk exists or not; a big data analysis module which analyzes meal sales conditions and kitchen management optimization schemes according to the ordering information, analyzes dinning habits, nutrition and health and satisfaction evaluation of diners according to the dinning information, and analyzes the types of optical disc meals, the number of optical discs, the number of diners and the dinning time period according to the optical disc data. According to the system, the optical disk action is effectively converted into measurable, recordable, traceable and landing actions from the original awareness propaganda level, so that the environmental awareness of diners is improved, carbon emission is reduced, and the cost of restaurant management is optimized and reduced.

The invention discloses a dietary nutrition analyzer, and relates to the technical field of children dietary nutrition analysis guidance equipment. The dietary nutrition analyzer comprises a dietary nutrition analyzer shell, a display is installed on the dietary nutrition analyzer shell, a printer is installed in the middle of the dietary nutrition analyzer shell through a support, and four trundles are uniformly arranged at the bottom of the dietary nutrition analyzer shell; the upper portion of the dietary nutrition analyzer shell is detachably designed, a detachable shell upper panel is arranged on the upper portion of the dietary nutrition analyzer shell, a keyboard and a mouse are sequentially arranged on the shell upper panel, an industrial personal computer arranged on the upper portion of the dietary nutrition analyzer shell is arranged below the shell upper panel, and the industrial personal computer is positioned in the dietary nutrition analyzer shell. The invention provides a plurality of dietary evaluation modes, including an hour dietary review method, a food frequency method and the like, so that the problems of inconvenience in food recording, inconvenience in food component searching and inconvenience in total nutrient calculation are solved.

The invention relates to an intelligent nutrition analysis and catering payment system based on a medical record database, which is characterized in that it includes an electronic medical record interaction module, a nutritional analysis module, a catering management module, a comprehensive payment module, a supplier management module, and a catering push and display module; Among them, the electronic medical record interaction module is used to connect with the hospital's HIS system to obtain the patient's electronic medical record; the nutritional analysis module performs nutritional analysis based on the patient's electronic medical record, and outputs the analysis results to the catering management module; The results generate recommended catering; the catering push and display module is used to push the recommended catering to mobile terminals and self-service equipment for display; the supplier management module is used for suppliers to manage the provided catering, order management, and account management.

The invention relates to a weight-reduction fast food combining staple food powder, artificial meat and vegetable, which is characterized in that the staple food powder comprises konjak powder, lotus root powder, algae colloid, homogeneous mushroom powder, agar and flour; the artificial meat comprises egg, konjak powder, refined flour, soybean flour, glutamate, glutelin, casein sodium salt, sodium inosinate, calcium carbonate, crab chitin, shrimp chitin, sodium hydroxide, algae colloid and agar; the vegetable comprises: formula A) dictyophora duplicata, tremella, forest frog oviduct and welsh onion; formula B) dictyophora duplicata, auricularia auricular, zizania latifolia, green soybean, ginkgo and welsh onion; formula C) zizania latifolia, asparagus, green pepper, spring shoot, welsh onion and green soybean; and the sum of weight proportions of all the components is 100%. The invention has the advantages that according to the nutrition analysis, the nutritive value is incomparable with all the prior instant noodles sold in market; and not only the food is favorable to weight reduction, but also complete balanced nutrition is obtained by people who are on diet.

The embodiment of the invention provides a diet management method and system, computer equipment and a readable storage medium. The method comprises the steps: obtaining the personalized diet information of a user through an edge side diet management platform, and the diet information comprises menu information; sending the food information to the dish distribution subsystem, sending the menu information to the resource scheduling subsystem through the dish distribution subsystem, triggering the resource scheduling subsystem to schedule and distribute dishes to users according to the menu information, and acquiring the dish distribution information through the dish distribution subsystem; acquiring the dinning result information of the user through the dinning condition monitoring subsystem, and feeding the dinning result information back to the edge side diet management platform; detecting, by the physiological sign monitoring subsystem, the physiological indexes of the user after dining and feeding back the physiological indexes to the edge side diet management platform; and receiving the dining result information and the physiological indexes sent by the edge side diet management platform through the nutrition analysis subsystem, and analyzing the diet health state of the user.