22 results about "Food labeling" patented technology

The invention relates to the technical field of food label discrimination, in particular to a prepackaged food label automatic discrimination method based on a large language model. The method comprises the following steps: obtaining structured food label data which comprises a separated product claim text and a component list text, inputting the product claim text into a domain knowledge enhanced discrimination model, generating a final focus declaration for verifying the authenticity of the claim, and outputting the final focus declaration. The discrimination model retrieves components related to the focus declaration in a component list text, and assists in obtaining an evidence classification result by using a pre-constructed food component knowledge graph; and based on an evidence classification result and a claim classification result, generating a logic consistency score by using a domain knowledge enhanced discrimination model, and outputting a discrimination result about the authenticity of the claim. According to the method, the recessive misleading and numerical value claim compliance in the label information are accurately judged, and the accuracy and interpretability of food label review are improved.

An object of a system according to an embodiment is to analyze a food display and automatically generate an appropriate menu or recipe.SOLUTION: A system includes an image analysis part, a menu proposal part, a recipe generation part, and an image generation part. The image analysis unit analyzes the image of the food display. The menu proposal unit proposes an appropriate menu on the basis of the information specified by the image analysis unit. The recipe generation part generates a recipe on the basis of the menu proposed by the menu proposal part. The image generation unit generates a finished image based on the recipe generated by the recipe generation unit.SELECTED DRAWING: Figure 1

The invention discloses a food quick-freezing temperature and humidity cooperative control method and system based on edge calculation, and relates to the technical field related to data processing, and the method comprises the steps: configuring an edge box in a quick-freezing cabin, integrating a surface temperature array, a humidity probe and an anemometer, and executing the data collection in the quick-freezing cabin; obtaining a quick-frozen food label, reading equipment power of a quick-freezing cabin, and configuring constraint conditions; configuring a cooperative control channel including the cooperative control channel of the first target and the second target; and configuring a cooperative control channel by using a quick-frozen food label, taking an initial data set as an initial condition, executing three-stage temperature and humidity control optimization under the constraint of a constraint condition, establishing a cooperative control parameter, and then performing quick-freezing cabin control management. The technical problem that in the prior art, the quick-freezing efficiency and the product quality are poor due to the fact that data transmission cloud decision response is high in delay and temperature and humidity cannot be optimized in a collaborative mode is solved, and the technical effects of improving the quick-frozen food quality and the quick-freezing efficiency and reducing energy consumption are achieved.

An object of the system according to the embodiment is to allow a food manufacturing company to efficiently generate a food label conforming to regulations.SOLUTION: A system includes a reception unit, an analysis unit, a reference unit, a generation unit, and a provision unit. The reception unit receives information from a user. The analysis unit analyzes the information received by the reception unit. The reference unit refers to the regulation database based on the information analyzed by the analysis unit. The generation unit generates the label information based on the regulation database referred to by the reference unit. The providing unit provides the label information generated by the generating unit.SELECTED DRAWING: Figure 1

The invention relates to the technical field of food safety detection, in particular to a pre-packaged food label detection system and method. Comprising a data acquisition unit used for acquiring label images, food components, environment and equipment state data; the label-body linkage detection unit is used for comparing label labels with actual food ingredients and generating ingredient deviation signals; the full-link dynamic verification unit is used for dynamically verifying the label information based on the environment data and generating an environment abnormal signal; the AI-artificial collaborative decision-making unit is used for fusing the multi-source signal and the compliance detection result, generating a detection conclusion and a correction instruction, and monitoring AI deviation to trigger artificial recheck; the control instruction execution unit is used for executing the correction instruction; and the linkage safety interlocking unit is used for starting the standby equipment and implementing safety blocking when the equipment fails or a high-risk conclusion exists. According to the invention, detection and closed-loop control of the pre-packaged food label from content authenticity and compliance to a full life cycle state are realized.

This invention relates to the field of food labeling technology, and more particularly to a smart label assembly and its preparation method. A smart label assembly includes: a substrate layer, a color-developing layer, and a protective layer; the color-developing layer is fixed to the surface of the substrate layer, and the protective layer covers the surface of the color-developing layer; the color-developing layer includes: an amine oxidase-type color-developing area and a glucose oxidase-type color-developing area. When livestock and poultry meat spoils and produces volatile amines and glucose degradation products, these two types of substances are catalyzed by amine oxidase and glucose oxidase, respectively, to produce ammonia and hydrogen peroxide, which then react with indicators on the label to produce color changes. The two types of labels are used together for mutual verification, forming a rapid detection method for livestock and poultry meat spoilage using smart labels, which can directly determine the quality of livestock and poultry meat. This label is simple to prepare, low in cost, and suitable for fresh livestock and poultry meat packaging, allowing monitoring from the freshness stage.

The invention discloses a control method and device of refrigeration equipment and the refrigeration equipment, and belongs to the technical field of refrigeration equipment. The control method of the refrigeration equipment comprises the steps that first input of a user to a refrigeration equipment end is received, wherein the first input is used for inputting printing task information corresponding to a to-be-stored object; in response to the first input, a first target end communicating with the refrigeration equipment end is determined based on the communication type of the printing device end, and the first target end comprises at least one of the cloud end and the printing device end; the printing task information is sent to the first target end; the printing task information is used for the printing device end to print an entity label corresponding to the to-be-stored object and is used for the cloud end to store label information corresponding to the to-be-stored object; the entity label is used for being attached to the to-be-stored object. According to the control method of the refrigeration equipment, the food label can be printed without manually inputting the printing content, and the label information of the food materials can be automatically input.

The invention discloses a food label safety intelligent auditing method based on a cross-modal domain model, and the method comprises the steps: collecting text, image and structured numerical multi-modal data through constructing an auditing system comprising six modules of multi-modal data collection and fusion, and obtaining standardized data through text calibration, image super-resolution reconstruction, numerical extraction and cross-modal alignment; the method comprises the following steps: marking a text entity by adopting BiLSTM-CRF optimized by Lora-FT, detecting the authenticity of an image by ResNet-50 + SRGAN, checking a numerical value by a rule engine, and obtaining a cross-modal auditing result in combination with gating attention; through a food standard knowledge graph, real-time regulation updating and enterprise internal control rule compliance verification, a lightweight decision tree assessment risk level, a natural language generation interpretable report, and key data encryption and storage in a Hyperledger Fabric block chain, the auditing accuracy, comprehensiveness and efficiency can be effectively improved, the cost is reduced, and the data credibility is ensured.

The invention provides a food detection method and system based on computer vision, and the method comprises the steps: carrying out the adaptive noise removal and image segmentation of a food image, obtaining a standard food image, and extracting the food morphological characteristics of the standard food image; performing block feature extraction and global feature fusion on the standard food image to obtain food global features, and performing category analysis on the standard food image to obtain food category information; performing multi-scale feature sampling and dynamic defect scoring on the standard food image according to the food type information to obtain food defect information; performing aging drift detection and freshness analysis on the standard food image to obtain food freshness information; identifying food label information from the standard food image, and performing multi-source data fusion on the food type information, the food defect information, the food freshness information and the food label information to obtain a food detection report.

The utility model discloses a food label scanner convenient to position and identify, which comprises a mounting base, a conveyor belt is mounted on the middle side in the mounting base, a fixing plate is fixedly mounted on the outer side of the middle of the mounting base, and a moving rod is connected to the middle side in the fixing plate; the mounting rod is rotationally mounted on the rear side of the interior of the fixing plate, a mounting structure is connected to the front side of the interior of the fixing plate, and the mounting structure comprises a connecting rod, a moving plate and a first anti-skid pad; the connecting block is mounted on the outer side of the mounting rod, a movable rod is connected to the outer side of the connecting block, a moving block is mounted on the outer side of the movable rod, a clamping plate is fixedly mounted on the inner side of the moving block, a second non-slip mat is fixedly connected to the inner side of the clamping plate, and a scanner is connected to the inner side of the second non-slip mat. According to the food label scanner convenient to position and identify, the scanner can be conveniently replaced, a food label can be conveniently positioned and identified, and the replacement effect of the scanner is good.

1. Name of the designed product: label (bean curd brain). 2. Use of the designed product: used for food label. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo best showing the design points: front view. 5. The designed product is a flat product, and the back view, left view, right view, top view and bottom view are omitted.

To identify a new commodity from other registered commodities by detecting that it is difficult to identify the new commodity by an identification system and proposing the change of a commodity package.CONSTITUTION: The identification system is equipped with a camera 8, a computer 4 which identifies the kind of a commodity according to an image from the camera, and a display device 10 which displays the identification result of the commodity. The computer 4 includes a feature amount extraction unit 22 that extracts a feature amount from an image, a product database 26 that stores a feature amount of a product image, and an identification unit 24 that identifies a type of a product by comparing the extracted feature amount with a feature amount of a product image registered in the product database 26. When a new commodity is registered in a commodity database 26, if an extracted feature quantity is similar to a feature quantity of another commodity registered in the commodity database 26 by a threshold or more, it is displayed on a display device 10 that the new commodity cannot be registered because a similar commodity is already registered, and change of a package is requested.SELECTED DRAWING: Figure 3

The utility model relates to the technical field of food packaging, and particularly discloses an automatic bottled food labeling device which comprises a conveying belt, a supporting seat fixedly connected to the middle of the back face of the conveying belt, a fixing seat fixedly connected to the middle of the surface of the conveying belt, and an electric sliding rail fixedly connected to the interior of the fixing seat. Supports are fixedly connected to the two sides of the back face of the linkage plate, guide rollers are rotatably arranged in the supports, hydraulic rods are fixed and penetrate through the interiors of the supporting seats, two guide grooves are formed in the tops of the supporting seats, penetrating grooves are formed in the middles of the tops of the supporting seats, and transmission rollers are fixedly connected to the output ends of the driving motors; a fixing shaft is rotationally arranged in the conveying belt, and a plurality of labels are arranged on the surface of the connecting belt; according to the packaging bottle labeling device, the guide roller, the transmission roller, the hydraulic rod, the driving motor, the guide plate and the spring are matched for use, so that packaging bottles can be automatically labeled, the labeling efficiency is relatively high, and the production efficiency is greatly improved compared with the traditional manual labeling.

The invention relates to the technical field of biological detection, and discloses a porcine-derived LOC106507823 gene detection target, a primer probe, a kit and a digital PCR (Polymerase Chain Reaction) detection method. The absolute quantitative characteristic of ddPCR overcomes the dependence of qPCR on a standard curve, stable detection can still be realized in a complex matrix (such as processed food), and high-throughput, high-sensitivity and accurate quantitative detection of the swine-derived components is realized. The authenticity of food label declaration can be verified and fraudulent behaviors can be attacked through accurate quantitative analysis of the pig-derived components; allergen harm is prevented, and food safety is guaranteed; feed safety is monitored; powerful molecular evidence is provided for species identification, forensic investigation and the like; a novel and reliable tool is provided for detecting the pig-derived components in meat and products thereof, and technical support is provided for food safety supervision and market order maintenance.

1. Name of the designed product: label (square chili). 2. Use of the designed product: used for food label. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo showing the design points: front view. 5. The designed product is a plane product, so the left view is omitted; the designed product is a plane product, so the right view is omitted; the designed product is a plane product, so the top view is omitted; the designed product is a plane product, so the bottom view is omitted; the designed product is a plane product, so the perspective view is omitted.

The invention relates to the technical field of fresh food label manufacturing, electronic component fixing and marking label manufacturing, and discloses a naturally degradable high-viscosity heat-sensitive adhesive tape which comprises the following layered structures: a plant fiber paper base material layer; one side of the base material layer is coated with the degradable thermosensitive color developing layer, and the degradable thermosensitive color developing layer comprises environment-friendly water-based coating liquid, thermosensitive color developing body leuco dye and o-phenylenediamine color developing agent; the degradable high-viscosity adhesive layer is coated on the other side of the base material layer and comprises a modified acrylic acid hot melt adhesive, abietic acid, dicumyl peroxide, lipase, a softening agent and a hindered phenol antioxidant; and the low-temperature hydrophobic coating covers the surface of the thermosensitive developing layer. According to the invention, excellent degradation performance, stable bonding capability, sensitive thermosensitive color development function and excellent waterproof performance are combined, the urgent requirements of modern society on environmental protection and sustainable development are met, and the adhesive has huge market potential in various application fields such as temperature monitoring and identification recognition.

A system is provided.SOLUTION: A system comprising: means for generating personalized health advice based on information input by a user; means for extracting text information from a captured food-label image using OCR; means for matching the extracted text information with a food-ingredient database and analyzing the ingredient information using a generated AI to assess a risk associated with a health condition of the user; means for notifying the user of the assessed risk information as an alert; and means for analyzing the user's speech input by speech recognition and using the generated AI to provide an appropriate answer and advice.SELECTED DRAWING: Figure 1

1. Name of the product in this design: Label (Silt-free Tofu). 2. Purpose of this design: For use on food labels. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key features: the front view. 5. This design is a two-dimensional product, and the rear view, left view, right view, top view, and bottom view are omitted.

1. Name of the designed product: Label detector (food label intelligent inspector 1.0 version). 2. Use of the designed product: used for detecting the integrity and accuracy of pre-packaged food label information. 3. Design points of the designed product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

This system aims to reduce the burden on housewives and working women, enabling them to manage their households efficiently and economically. [Solution] A system for managing data from household electronic devices, comprising: means for inputting a target amount for food expenses, family composition, and dietary preferences; means for generating a menu and shopping list that consider nutritional balance and budget based on the input data; means for transmitting the generated menu and shopping list to a user terminal; means for taking pictures of receipts and food labels and converting the captured images into text data; means for updating a household ledger based on the converted text data; means for coordinating with a household refrigerator to obtain inventory information and expiration date information; means for notifying the user terminal of the obtained information; means for searching for suggested ingredients on an e-commerce site and automating the purchase procedure; and means for executing electronic payment.

The present application relates to the technical field of food label identification, in particular to an automatic identification method for pre-packaged food labels based on a large language model. The method comprises the following steps: obtaining structured food label data, including separated product claim text and ingredient list text; inputting the product claim text into a domain knowledge enhanced identification model to generate a final focus statement for verifying the authenticity of the claim; the identification model retrieves ingredients related to the focus statement in the ingredient list text and obtains evidence classification results with the aid of a pre-built food ingredient knowledge graph; based on the evidence classification results and the claim classification results, a domain knowledge enhanced identification model generates a logical consistency score and outputs a judgment result on the authenticity of the claim. This method realizes accurate identification of implicit misleading and numerical claim compliance in label information, and improves the accuracy and interpretability of food label review.