30 results about "Food classification" patented technology

The invention relates to the technical field of artificial intelligence, and discloses a blood glucose management system based on artificial intelligence. According to the system, blood glucose monitoring is reminded through the blood glucose monitoring terminal, a blood glucose curve is drawn every week, abnormal blood glucose conditions are judged for reminding and alarming, the diet terminal is used for guiding low-sugar diet recommendation, high-sugar food intake is avoided, the mastering degree of a patient and family members for food classification is improved, and the exercise terminal determines the exercise time and exercise amount of the patient according to the blood glucose value. Parameters are input into an intelligent system, the system converts and selects a motion mode, time and intensity, a drug treatment terminal calculates the insulin injection amount of a patient every day and every meal according to the blood glucose level and food intake, the insulin dosage is adjusted according to the calculated numerical values, blood glucose fluctuation is reduced, and the treatment effect is improved. The education and self-management terminal guides a patient to improve the cognitive degree of diabetes and provides personalized propaganda and education guidance for the patient, and the complication reminding terminal controls the blood sugar of the patient within a normal range, guides a good lifestyle of the patient and guides behavior specifications.

The invention provides a food material feature recognition model construction and classification method, system and device, and a medium. The food material feature recognition model construction method comprises the steps of obtaining target sample image data of a plurality of sample food materials; wherein the target sample image data comprises visible light image data and infrared image data; constructing a training sample data set based on the target sample image data and food material category data corresponding to the target sample image data; and inputting the training sample data set into a preset model to construct a food material feature recognition model. According to the method, the food material feature recognition model is constructed, so that the feature vectors of the food materials under different environments, different illumination conditions or different angles can be effectively recognized, comprehensive and diversified food material features are extracted, and then the types of the food materials are accurately recognized; the food materials can be accurately classified under different environments, different illumination conditions or different angles, and the universality and coverage of food material classification are improved.

The invention discloses a sugar-controlled diet visual management method and related equipment. The method comprises the steps that standard food material volumes corresponding to different types of food materials are visually displayed, and the standard food material volumes are displayed based on different hand parts and / or different gesture states of a user; obtaining the type of food materials and the weight of the food materials given by the user in response to the visual display; and predicting the expected blood sugar of the cooked food materials after entering the human body based on the types of the food materials and the weights of the food materials. The problems that an existing diabetes dinner plate mainly focuses on formed food, such as food quantification, food weighing, food classification, customization of special crowds (such as gestational diabetes), food calorie calculation, food blood glucose index monitoring and food blood glucose data monitoring and uploading are solved, and the existing diabetes dinner plate does not focus on food formation. The problem of heat and blood sugar control of cooking food materials is solved.

The application provides a model training method, a package image recognition method and a device thereof. The model training method comprises: obtaining label information corresponding to a first package image, the first package image being a package image of a first sample food; analyzing the label information to obtain a first text; replacing at least part of the first text with a target preset text to obtain a second text, the target preset text having an association with the first text, and the second text being a description of a second sample food; and training a food classification model according to the first text and the second text to obtain a trained food classification model. The embodiment of the application replaces at least part of the first text on the first package image with the target preset text, expands the training sample, avoids the need for manual labeling of characters on package images of various foods to obtain sufficient training samples, thereby reducing the labeling workload of the staff and improving the efficiency of model training.

The invention discloses a novel few-sample food classification method, and relates to the technical field of food identification. Comprising the steps of obtaining a food image, preprocessing the food image to obtain a preprocessing data set, constructing a food classification model comprising an image enhancement layer, a feature extraction layer and a global-local feature fusion layer, inputting the preprocessing data set into the food classification model, and performing error analysis through a loss function according to an output predicted value and an actual value. And obtaining a trained food classification model, and inputting the to-be-detected image into the trained food classification model to classify the food image. According to the method, the features with comprehensive global and fine-grained local representation can be generated, so that high classification precision is achieved.

The invention provides a food classification component identification method and system based on multi-scale feature attention synergy, and the method comprises the steps: constructing a multi-task neural network model, sequentially inputting a food image into a global feature module and a progressive local feature module, and respectively extracting global semantic information and refined local features of different scales; feature interaction between food category identification and component analysis tasks is promoted through a cross attention cooperation module, and key areas and important component information in images are dynamically selected; gradually activating different depth levels of the network by adopting a staged end-to-end training strategy, and introducing a KL divergence constraint to enhance the difference between feature scales; and simultaneously generating prediction results of food categories and component labels through a multi-task classifier. The technical problems of food identification and component analysis task splitting, insufficient local feature expression and insufficient cross-task information complementation are solved.

The invention belongs to the technical field of food information management, and discloses a food processing traceability system based on an electronic tag and RFID equipment. A food data set and a personnel data set are collected and preprocessed, the food data set comprises raw material quality guarantee data, raw material date data, raw material storage data and raw material batch data, and the personnel data set comprises employee job number data, employee batch data and employee contact data; analyzing the food data set to obtain a food quality reference value, and classifying the food quality reference value to obtain a food classification result; processing the food classification result to obtain a food processing result; the food quality reference value, the food classification result and the food processing result are stored, and generally, the method has the remarkable advantages of being high in auxiliary production capacity, high in risk prevention and good in raw material information tracing effect.

The invention discloses a food classification deep learning method adaptive to a few-sample scene, and the method comprises the steps: obtaining a few-sample food classification data set, carrying out the preprocessing enhancement of an original image in the few-sample food classification data set, obtaining an image x, constructing an RL-Clip model, carrying out the feature processing of the image x, and finally obtaining a food classification probability matrix. Secondly, optimizing an image processing process; the purposes of improving the generalization of the detection model and improving the detection effectiveness, accuracy and confidence of the specific data set are achieved.

The invention discloses a food supply chain risk perception, identification and rating system based on a knowledge graph. The system comprises a food supply chain risk perception module, a risk identification module, a risk rating module and a response processing module. The system is characterized in that the food supply chain risk identification module includes all classification names of the same food in different food supply chain links; the method comprises the following steps: firstly, searching a food supply chain level where a current spot-checked food name is located, and then carrying out fuzzy matching on a classification name and a limit value of the current spot-checked food name for the food supply chain level; the food supply chain risk rating module rating for risk occurrence possibilities and severity is based on spatio-temporal varying risk occurrence possibilities and severity rating. According to the method, the problem that chain breakage exists in food safety risk identification due to the fact that currently constructed food safety knowledge maps are mostly established on food classification standards of the industry and inconsistent classification of the same food in a food supply chain link is not considered is solved.

The present invention relates to the field of detection, and in particular to an intelligent system for food detection. The present invention is provided with a transport detection mechanism including a conveyor belt and a grabbing mechanical arm, a detection module including an X-ray scanning unit, and a food analyzer including a food classification unit and a shaking analysis unit, to obtain a scanned image of a packaged food to be detected during shaking, extract contour features in the scanned image, and then identify specific features, determine the category of the packaged food to be detected in combination with the contour area of ​​the specific features, determine non-specific features in each adjacent scanned image frame, determine whether the packaged food meets the standard based on the contour area ratio of the non-specific features to the specific features, identify fragment features based on the difference in contour features in the scanned image, determine the aggregation area of ​​the fragment features in each scanned image, and determine whether the packaged food meets the standard based on the area of ​​the largest aggregation area, thereby improving the detection reliability and detection accuracy of the packaged food to be detected.

The objective is to provide a diversity assessment device, a diversity assessment method, and a diversity assessment program that can assess food diversity while considering nutrient diversity by evaluating the diversity of ingested foods based on clusters that classify foods. [Solution] Based on food component data, a food classification is set by classifying the target specified foods according to nutrients using a clustering method, data on the intake status of specified foods included in a meal classified according to the food classification is obtained, and a dietary diversity score is calculated for the specified food intake status data.

The utility model discloses an automatic detection food storage box which comprises a box body, a temperature and humidity detector is arranged on the outer side of the box body, a servo motor is arranged on one side of the bottom of the interior of the box body, a lead screw is arranged at the output end of the servo motor, a lifting block matched with a thread is arranged on the outer side of the lead screw, and the lifting block is arranged on the outer side of the box body. A lifting seat is installed on one side of the lifting block, a driver is arranged at the bottom of the lifting seat, and the output end of the driver penetrates through the bottom of the lifting seat and is provided with a rotating table; through lifting adjustment of the rotating table, the placing areas of the multiple sets of filter screen grooves can be conveniently arranged in the upper layer area and the lower layer area of the box body, and when the multiple sets of filter screen grooves are in the upper layer state, the angles of the multiple sets of filter screen grooves can be adjusted through overall rotation of the rotating table, so that an operator can take and place food at the through opening conveniently; by means of the installation arrangement of the structure, different kinds of food can be conveniently placed in a classified mode, temperature loss in the food taking and placing period is restrained, and therefore the storage temperature of the food is maintained.

The utility model relates to the technical field of food preservation, in particular to a silica gel interlayer preservation bag which comprises a bag body. The sealing strips are fixedly mounted at the top of the bag body, and the number of the sealing strips is two; the multifunctional assembly is fixedly attached to the front end of the bag body and used for achieving the food classification function or the dry-wet separation function; and the reinforcing assembly is mounted at the top of the bag body and used for reinforcing a seal at the top of the bag body. The auxiliary bag is fixedly connected to the front end of the bag body and matched with the first clamping strip and the first clamping groove in the auxiliary bag, so that when solid-liquid separation is needed, the top of the auxiliary bag can be opened, solid food is put into the auxiliary bag, then the auxiliary bag on one side of the first clamping strip is pressed towards one side of the first clamping groove, and the auxiliary bag can be separated from the first clamping groove. And the first clamping strip is clamped with the first clamping groove, so that a dry-wet separation function is realized, a classification function can be realized in the same way, and the functionality of the freshness protection bag is favorably increased.

The utility model discloses a pre-packaged food inventory classification management frame, and relates to the technical field of food classification management. The device comprises a plurality of layering plates, wherein a splicing mechanism and a classifying mechanism are arranged on the layering plates; the splicing mechanism comprises an adjusting assembly, a supporting assembly and a splicing assembly, the adjusting assembly comprises a supporting column arranged on the layering plate, the layering plate is fixedly connected with a plurality of sliding blocks, the sliding blocks are provided with spring grooves, the spring grooves are fixedly connected with springs, and the springs are fixedly connected with bearing blocks. By means of the splicing mechanism and the elasticity of the spring, a worker can assemble and limit the layering plate and the supporting columns by pressing the ejector block, meanwhile, when the layering management height of the layering plate needs to be adjusted, rapid adjustment can be completed by pressing the ejector block, two management frames are spliced through cooperation of a clamping ring and a clamping block, and the labor intensity of workers is lowered. And the device is suitable for storing various pre-packaged foods with different sizes, the application range of the device is widened, and the convenience of the device is improved.

The utility model discloses a cold storage device for food processing, which comprises a box body, a revolving door is arranged on the surface of the box body, deodorizing components are arranged on two sides of the box body, a sterilizing component and a refrigerator are arranged on the surface of the box body, a first support plate and a second support plate are arranged in the box body, and buckle components are arranged on two sides of the first support plate and the second support plate. A storage drawer is arranged below the second supporting plate. When a user uses the food box, through arrangement of corresponding structures, the first supporting plate and the second supporting plate are matched with the storage drawer, different kinds of food can be stored in a classified mode, the food can be conveniently taken and placed, peculiar smell in the box body can be removed through the smell removing assemblies arranged on the two sides, the surface of the food is prevented from being contaminated, and the food box is convenient to use. Meanwhile, due to the arrangement of the buckle assembly, internal parts can be detached at any time to be cleaned, and the food safety is improved.

The utility model discloses a food conveyor, which relates to the technical field of food processing, and comprises a conveyor belt, the bottom of the conveyor belt is fixedly connected with a bottom plate, one side of the top of the bottom plate is fixedly connected with a fixed plate, the top of the fixed plate is fixedly connected with a top plate, and the side surface of the fixed plate is fixedly connected with an inclined rod. According to the food sorting device, the food sorting assembly is arranged, when the food moves along with a belt of the conveying belt to make contact with a baffle, the food is blocked by the baffle, one set of food is guided by the baffle to directly fall into the storage bin, and the middle set of food is guided by the baffle with the medium length to firstly move to the belt beside and then fall into the middle area of the storage bin; and the other group of food is guided by the longest baffle to cross the two belts and then falls into the last area of the storage bin, so that automatic taking and classification are completed, and the problems that in the processing process, it is difficult to free the hands to take down the food in time, so that individual processing flows of the food are prone to omission, reworking is caused, and the working efficiency is reduced are solved.

The utility model relates to the technical field of food processing, in particular to curing equipment for convenient food processing. Comprising a heating box, a top cover and an auxiliary mechanism, the auxiliary mechanism comprises an electric heater body, an adjusting frame, a placing frame, a fastening nut, an exhaust pipe, a connecting device and a matching device, food is placed in the placing frame during processing, the top cover is installed through the connecting device, the electric heater body is controlled to work to generate hot air, and the hot air is vertically conveyed upwards; through cooperation of through grooves in the bottom and the side face of the containing frame, food makes contact with hot air when the hot air is continuously conveyed upwards, finally the hot air is exhausted through an exhaust pipe, curing treatment is completed, the fastening nut is screwed, the vertical height of the containing frame can be adjusted, and therefore food of different height specifications can be conveniently placed; different kinds of food can be placed in the multiple placing frames in a classified mode, so that internal adjustment can be achieved when the instant food is cooked, the instant food of different specifications or kinds can be processed at the same time, and processing and using are convenient.

The utility model discloses a dinner plate convenient for food classification, which comprises a main body supporting tray, the middle part of the lower end of the main body supporting tray is fixedly connected with a limiting insertion column, the lower end of the limiting insertion column is inserted with an anti-deviation limiting structure, and the upper end of the main body supporting tray is lapped with a food dinner plate. The anti-deviation limiting structure comprises a limiting supporting block. Before food is added to the food dinner plate, the supporting top column is supported on a table top, the adjusting supporting rod is pinched to drive the adjusting sliding rod to slide downwards on the surface of the supporting top column till the rubber suction cup can be completely sucked to the table top, and therefore when the limiting insertion column is inserted into the limiting supporting block, the rubber suction cup can be conveniently sucked to the table top. The stability of the main body supporting tray on a table top is improved, so that when a patient adjusts the body position and knocks a dining table on a sickbed to be inclined, the food dinner plate can be prevented from falling off from the table, and a large amount of food is prevented from flowing out and scattering on the body of the patient and being stained.

The utility model relates to the technical field of storage tanks, and discloses a food-grade multifunctional storage tank which comprises a storage tank body, a clamping groove is formed in the inner wall of the storage tank body, a flow dividing assembly is installed in the storage tank body, a sealing cover assembly is connected to the top of the storage tank body in a clamped mode, and the flow dividing assembly comprises a baffle. A sliding block is fixedly connected to the surface of the baffle, a flow dividing barrel is slidably connected to the surface of the sliding block, a sliding groove is formed in the surface of the flow dividing barrel, a lifting handle is fixedly connected to the end, away from the sliding groove, of the flow dividing barrel, a threaded sleeve is fixedly connected to the top of the baffle, and a bolt is in threaded connection with the interior of the threaded sleeve. According to the food storage container, by arranging a matching structure of the flow dividing cylinder, the sliding block and the sliding groove, rapid extraction and resetting of the flow dividing cylinder are achieved, in combination with the detachable design of the sealing plate, it is guaranteed that different kinds of food are stored in a classified mode, independent taking and using are convenient, and the problem that food is mixed or tainted by other odors in a traditional storage container is solved.

This application relates to the field of smart home appliance technology, and discloses a method and apparatus for cross-domain small-sample object image classification for smart terminals. The method includes: acquiring an image of food to be identified; processing the image to extract basic feature vectors; mapping the basic feature vectors using a dual Riemannian manifold processing module to obtain Euclidean space features and hyperbolic space features respectively; fusing the Euclidean space features and hyperbolic space features to obtain a comprehensive feature representation for food classification; and determining the food classification result based on the comprehensive feature representation. The dual Riemannian manifold processing module includes Euclidean space branches and hyperbolic space branches. This method achieves multi-space feature fusion by collaboratively extracting Euclidean space features and hyperbolic space features using dual Riemannian manifolds, thereby improving the feature representation capability and classification accuracy of food images.

The invention discloses a method for establishing a food precision nutritional index model, and belongs to the technical field of food nutriology, and the method specifically comprises the following steps: constructing a food classification table; constructing a precise nutritional ingredient detection analysis or calculation method; constructing a food accurate nutritional ingredient database; determining the weight of each precise nutritional ingredient; constructing a food nutrition index calculation model; and correcting the model. Through the food precision nutrition index model, the nutrition quality and scientific consumption cognition of residents can be further enhanced, the diet quality and health level of consumer groups are improved, and the food precision nutrition index model has important significance and far-reaching influence on promotion of diversified and nutritional development of the food industry and promotion of high-quality development of precision agriculture.

The present invention discloses a food supply chain risk perception, identification, and rating system based on a knowledge graph, including a food supply chain risk perception module, a risk identification module, a risk rating module, and a response and handling module. Its characteristics are as follows: The food supply chain risk identification module encompasses all classification names of the same food in different food supply chain links; first, it locates the food supply chain level where the currently sampled food name is located, and then it performs fuzzy matching for the classification name and limit value of the currently sampled food name for this food supply chain level. The food supply chain risk rating module's rating for the likelihood and severity of risk occurrence is based on the likelihood and severity of risk occurrence that vary with time and space. The present invention solves the problem that most of the currently constructed food safety knowledge graphs are based on the food classification standards of the industry, without considering the inconsistent classification of the same food in the food supply chain links, resulting in a broken chain in food safety risk identification.

The invention provides food classification partial freezing preservation equipment and a control method, and relates to the technical field of food preservation, the food classification partial freezing preservation equipment comprises a rack, a conveying assembly and an ammonia cooling tunnel, a camera is arranged on one side of the inlet end of the ammonia cooling tunnel, and the ammonia cooling tunnel is arranged on the upper portion of the rack and covers the middle of the conveying assembly; the conveying assembly comprises a driving assembly, a first roller, a second roller and a dragging and releasing belt, the driving assembly provides driving force for the first roller, the dragging and releasing belt is installed on the outer side of the first roller and the outer side of the second roller, an inclined groove is formed in the outer side of the first roller, the dragging and releasing belt comprises containing assemblies and a transmission chain, the adjacent containing assemblies are movably connected, and the transmission chain is connected with the containing assemblies. And the placing assembly is movably connected with the transmission chain. By means of the placement assembly which is composed of the heat preservation corrugated cover and the heat preservation taper sleeve and used for reducing direct cooling, after the types of food needing to be preserved are recognized and obtained, the food can be correspondingly cooled for different time, and then it is guaranteed that different types of food can have better taste.

The invention discloses a middleware device for intelligent investigation and acquisition of food-borne diseases, relates to the field of intelligent investigation and acquisition of food-borne diseases, and provides a middleware device comprising a data acquisition component, a food-borne disease information filling component and an information reporting component. The middleware device is used for collecting diagnosis information in a hospital information management system to automatically trigger and call a food-borne disease information filling assembly, and basic information of a patient is automatically brought in. Clinical doctors perfect food-borne disease information, food classification and processing or packaging mode information are automatically associated and filled after food names are filled and exposed, and the doctors in the public health department access the auditing terminal in the public health department to modify and auditing food-borne cases and report the food-borne cases to the national food-borne disease case monitoring system. The problems that an existing food-borne disease monitoring method is long in time consumption, poor in timeliness and large in extra workload are solved, and the efficiency of intelligent investigation and collection of food-borne diseases is improved.

The utility model discloses intelligent cold-chain food grading equipment with a rapid classification function, and relates to the technical field of cold-chain food classification, the technical scheme is as follows: the intelligent cold-chain food grading equipment comprises a support frame and a plurality of buffer components arranged on the support frame, each buffer component comprises a support plate, the support plate is mounted on one side of the support frame in a mirroring manner, and the support plate is arranged on the other side of the support frame; each two adjacent supporting plates form a group, a conveying plate is slidably mounted between each group of supporting plates, a plurality of sliding grooves are formed in each conveying plate, and supporting rods are symmetrically mounted below each group of supporting plates. According to the cold-chain food packaging machine, the problems that when food falls off, large impact force is generated, the impact force can directly act on food packages, if the impact force is too large, the cold-chain food is broken or deformed, and meanwhile the higher the falling height is, the larger the impact force is, the more vertical the falling angle is, and the larger the impact force is are solved.

The disposable meal box comprises a box bottom, the upper side of the box bottom is connected with two first side face parts and two second side face parts in a turnover mode, and two triangular face parts are connected between the adjacent first side face parts and the second side face parts in a foldable mode. The upper side of the second side face part is provided with a buckling and folding face part used for fixing the whole in a foldable mode, two partition plates are arranged on the upper side of the box bottom, and through the arrangement of the buckling and folding face part and the triangular face part, the first side face part and the second side face part can form a stable storage space. The box cover part is matched to form a sealing effect and a stable lunch box whole body; when the meal box needs to be folded and stored, the whole meal box can be folded into a flat structure only by taking down the clamping pieces, the turnover partition plate, the first side face part and the second side face part, the storage size of the meal box after eating is greatly reduced, and leakage of remaining meal is avoided.

This application provides a deep learning-based food classification method, system, and readable storage medium. The method includes acquiring a training dataset, which comprises a first time-series spectral signal corresponding to a pure sample type and a second time-series spectral signal corresponding to an adulterated sample type; using the training dataset as the original time series and transforming the original time series to obtain a first-order difference sequence and a Fourier sequence; performing two-dimensional processing on each sequence using a tiling and sliding window approach to obtain corresponding two-dimensional data; constructing an initial classification model and inputting the obtained two-dimensional data and Fourier sequences into the initial classification model for training, obtaining a target classification model upon training termination; and inputting the acquired two-dimensional data to be processed and the Fourier sequences into the target classification model to obtain the food classification result. The implementation of this method can improve the accuracy of food classification.

The utility model relates to the technical field of food classification and preservation, and discloses food classification and preservation equipment which comprises a vehicle plate, a mounting box and a handle are fixed to the top of the vehicle plate, universal wheels are fixed to the four corners of the bottom of the vehicle plate, a detachable internal storage box is mounted in the mounting box, and a top cover is connected to the top of the mounting box through a hinge. A mounting groove is further formed in one side of the mounting box, a cover door is connected to the mounting groove through a hinge, and a first pull rod is fixed to one side of the cover door; through the arrangement of a second partition plate and a third partition plate, the height and width of a storage cavity in the internal storage box can be flexibly adjusted, so that a user can place different foods according to the sizes of the different foods, the situation that the foods extrude each other during storage is avoided, and in the transportation process, the food is convenient to store. By means of the design, the extrusion phenomenon between the food can be effectively reduced, the appearance quality of the food is protected, meanwhile, damage to internal tissue of the food is avoided, and it is guaranteed that the taste and the nutritional value of the food are kept.