4634 results about "Food item" patented technology

A system can process an indication of user data, wherein the user data comprises a food item including at least one recipe having one or more ingredients, and a query, wherein the query is associated with at least one ingredient, and generate, based at least in part on the query, nutrition data associated with the at least one ingredient, wherein the nutrition data comprises preparation data, sourcing data, delivery data, and a list of nutrients for the at least one ingredient. The system can further estimate, based at least in part on the nutrition data associated with the least one ingredient, a nutritional score, then compare the estimated nutritional score to a threshold, and based on the compared nutritional score, generate one or more instructions to cause an indication of the nutritional score on a user device.

The invention discloses a food safety sampling inspection data verification method and system and a computer storage medium thereof, particularly relates to the technical field of food safety supervision informatization, and is used for solving the problem of false consistency caused by silent failure when an external data source fails in an existing verification system. Field-level binding is realized by establishing a dependency mapping table of a sampling inspection system and an external data source; constructing a service response causal graph model, and dynamically marking a failure data source based on the deviation between the anti-fact response and the actual response; analyzing the verification field set and positioning a key verification field; degrading the weight of the key field to be below a threshold value and activating a manual auditing flag bit; scanning a preset coupling relationship between fields, freezing associated fields which do not trigger rules, verifying and constructing a conflict topology; when the check engine is executed, dynamically skipping the weight reduction field, suspending the freezing field, and generating a to-be-rechecked report in combination with the artificial flag bit and the topological graph; error data transmission is blocked from the source, and the food safety risk missed judgment rate is remarkably reduced.

The invention discloses a campus smart canteen management platform based on AI and IOT. The campus intelligent canteen management platform comprises a global sensing system, an intelligent decision support system, a credible tracing system, a safety and supervision system and a user experience optimization system. The global sensing system is used for collecting multi-modal data and carrying out data fusion and preprocessing on the multi-modal data; the intelligent decision support system is used for performing multifunctional analysis on the fused and preprocessed multi-modal data to obtain a management decision; the credible traceability system is used for recording digital traceability information, storing reserved food samples and detecting pesticide residues in real time; the safety and supervision system is used for providing food reserved sample management, food quality event monitoring and analysis, supervision record management and parent applet functions; and the user experience optimization system is used for providing health inspection, health monitoring and personalized suggestions, identity verification and payment modes. In this way, the overall level of canteen management is improved.

The invention provides a frying and baking equipment heat preservation automatic control method and system, and relates to the technical field of food processing equipment control, and the method comprises the steps: collecting temperature signals of different positions through a plurality of groups of thermocouples and infrared thermal imaging sensors which are arranged in a frying and baking area, constructing a dynamic three-dimensional temperature field model, and obtaining a dynamic three-dimensional temperature field model; calculating a temperature standard deviation and a maximum temperature gradient in real time according to the dynamic three-dimensional temperature field model; and when the temperature standard deviation is larger than or equal to a preset threshold value, according to the heat distribution difference of the three-dimensional temperature field model, a multi-region differential compensation strategy is generated, the power distribution proportion of each heating unit is dynamically adjusted, and the duty ratio parameter of pulse width modulation is optimized in real time. Through multi-sensor accurate monitoring, dynamic regulation and control and intelligent stop judgment, uniform and stable temperature control, energy conservation and consumption reduction are achieved, the service life of equipment is prolonged, meanwhile, the use safety of a user is guaranteed, and the cooking experience is improved.

To provide a food information providing device for encouraging customers to order and contributing to increase in an average customer spend in stores for providing food products such as conveyor belt sushi.SOLUTION: A food information providing device A as an example of the food information providing device, comprises a rail display part 1. Screens displayed on the rail display part 1 include a top screen 13, where the top screen 13 displays menu image data 130, menu name data 131, background image data 132, and character image data 133. Further, the plurality of menu image data 130 and menu name data 131 are displayed by scrolling in a fixed direction in set order. Furthermore, regarding the top screen 13, when the screen is touched with a finger and a right swipe operation or a left swipe operation is performed, the menu image data 130 having been displayed by the scrolling can be moved in a direction of the scrolling or in an opposite direction of the scrolling and displayed.SELECTED DRAWING: Figure 4

The invention relates to the field of food drying, in particular to a multi-layer circulating food drying machine which adopts a stage treatment technology combining condensation dehumidification and adsorption dehumidification and utilizes a preheating mechanism to recover condensation waste heat. The drying device structurally comprises a plurality of layers of independently sealed drying areas, each area is provided with a bottom air inlet groove, a top exhaust groove and a bottom exhaust groove, and a hot air path is optimized through a flow guide plate; the condensation mechanism adopts a spiral runway-shaped condensation pipe and a cooling fin to realize primary dehumidification, and the adsorption mechanism alternately works through a rotatable fan-shaped adsorption area to maintain the adsorption efficiency; the preheating mechanism absorbs condensation heat dissipation to preheat external air and then supplements the external air to the circulating system. Through hot air cyclic utilization, multi-stage dehumidification and waste heat recovery, the drying efficiency is remarkably improved, the energy consumption is reduced, meanwhile, the adaptability to food with different water contents is enhanced, and uniform and rapid drying is achieved.

The invention relates to the technical field of image recognition, and discloses a food freshness detection method and system based on image recognition, and the method comprises the steps: collecting an initial image, carrying out the white balance correction through a white reference card, and obtaining a corrected image with an accurate color; performing target area segmentation on the corrected image, extracting a food main area and eliminating background interference; pixel sampling is carried out on the main area image, the main area image is converted to Lab, HSV and RGB color spaces, and redness, yellowness, brightness, hue angle and red-green ratio are extracted to form a multi-dimensional color feature set; establishing a difference feature vector based on the feature set and a preset standard sample, and comparing the deviation degrees of the target food and the standard sample on the multi-dimensional color features; and finally, judging the freshness grade of the food according to the deviation degree. According to the invention, lossless and rapid food freshness grading detection is realized.

The invention provides a zero-sample food image recognition method based on semantic decoupling and a diffusion model, and aims to solve the problems of semantic interval and generation feature offset in the field of zero-sample food image recognition in the prior art. According to the method, semantic precise decoupling of food material composition and a cooking process in text description is realized by constructing a food material-cooking double-branch attention network, and implicit association of a food material combination and a cooking mode is captured by using a cross-modal fusion strategy, so that the accuracy of semantic condition control is remarkably improved; on the basis, a regional perception diffusion feature synthesizer is designed, visual features with spatial sensitivity are generated through a progressive denoising process, and the defect of a traditional generation model in the aspect of food texture detail reduction is effectively overcome. Compared with a traditional method, the scheme has remarkable advantages in the aspects of feature generation quality, semantic relation modeling and complex scene adaptability, and a new zero sample detection solution is provided for the field of food calculation.

The invention relates to a manufacturing method for delicious pork slices. To overcome the influence of too much intake of pork products on a human body, the manufacturing method for the delicious pork slices is provided. The manufacturing method comprises the steps of cutting the pork into the pork slices with the thickness of 2-4 mm; immersing the pork slices in an immersion liquid for 10-30 minutes; heating the immersion liquid with the pork slices and cooking for 0.5-1 h; fishing the pork slices out; draining the liquid; packaging and sterilizing. The manufacturing method is characterized in that, based on 100 parts by weight of the pork slices, the immersion liquid comprises, by weight, 1-5 parts of red yeast, 1-10 parts of rice wine, 20-30 parts of soy sauce, 1-5 parts of dried ginger, 10-20 parts of white sugar, 1-5 parts of spices, 1-5 parts of sodium bicarbonate, 15-30 parts of seaweed and 50-60 parts of water. The pork slices processed by the method can effectively prevent damp and hot proliferation in a stomach after being taken, and gives health to a human body while guaranteeing nutrition of the human body.

A kit for creating a miniature replica of a food or beverage item, the kit including a base object that forms a base of the miniature replica of the food or beverage item, the base object comprising a miniature replica of a component of the food or beverage item, a resin container storing a resin configured to be applied to the base object and to adhere to the base object, the resin container comprising a miniature replica of a container associated with the food or beverage item, and one or more ingredient objects configured to be at least partially embedded in the resin, the one or more ingredient objects comprising miniature replicas of one or more ingredients associated with the food or beverage item, the base object and the resin comprising complementary properties that enable the ultraviolet light to penetrate the resin and thereby cure the resin.

The invention relates to the technical field of food supervision, and discloses an AI-based food supervision efficiency optimization method and system. The method comprises the following steps: firstly, receiving a multi-source food supervision data stream in a target area, then analyzing data by using a risk feature extraction model to generate a risk level map and a probability matrix, then constructing an adaptive supervision strategy model to generate a supervision instruction set, and then simulating a risk linkage effect and optimizing parameters through a risk diffusion path prediction model. And finally, iteratively optimizing and outputting a supervision decision action sequence by using a multi-agent reinforcement learning framework. The system comprises a data receiving module, a processing analysis module, a strategy generation module, a risk simulation and parameter optimization module and a parameter iteration and decision output module. The method can accurately evaluate the risk, optimize the supervision strategy, predict the risk diffusion, improve the food supervision efficiency, and guarantee the food safety.

The invention relates to the technical field of image processing, in particular to a food production line cleanliness monitoring method and system based on machine vision. The method comprises the steps of obtaining a Lab image of a to-be-detected conveyor belt of a food production line, determining an abnormal score value of a target pixel point in the Lab image, and constructing a data item edge weight of an energy function according to the abnormal score value of the pixel point in the Lab image; determining a periodic displacement amount of a periodic structure of the Lab image in the motion direction of the conveyor belt to be detected, and determining a periodic consistency factor of adjacent pixel pairs according to the periodic displacement amount; according to the method, a data item edge weight of an energy function is established, a smooth item edge weight of the energy function is established according to texture features and a period consistency factor, the energy function is established by using the data item edge weight and the smooth item edge weight, segmentation enabling the energy function to be minimized is performed on the Lab image, and a cleanliness monitoring result can be determined according to the minimum value of the energy function. According to the technical scheme, the cleanliness of the conveying belt of the food production line can be automatically monitored.

The invention discloses a food detection system and method based on computer vision, and relates to the technical field of food visual detection and intelligent identification, and the system comprises an image collection module which obtains initial food image data from a production line through a preset image collection device, processes the data through an edge detection algorithm to extract contour features, and sends the contour features to an image processing module; meanwhile, a boundary point coordinate extraction process is fused to obtain appearance boundary description of the food; the boundary clustering module is used for grouping boundary points by adopting a clustering algorithm according to the extracted appearance boundary description, carrying out processing under an iterative convergence condition in combination with a distance metric function and cluster center initialization, and judging that the shape is irregular if the grouping number exceeds a preset threshold value, so as to obtain a shape classification label; according to the food detection system and method based on computer vision, the accuracy and adaptability of food quality detection are remarkably improved, and the quality control requirement of a multi-scene production line is met.

The invention discloses a food detection state visual output system and method based on machine vision, and relates to the technical field of machine vision, and the system comprises a multi-source data synchronization module, a semantic analysis module, a visual rendering module, an interaction instruction processing module and an abnormity reinspection module. The multi-source data synchronization module generates a synchronization signal; the semantic analysis module extracts a multi-modal feature vector based on the synchronizing signal, and generates a feature vector which is matched with a user role and contains a semantic tag in combination with a pre-constructed lightweight knowledge graph; the visual rendering module dynamically generates an interactive interface according to semantic tags in the feature vectors; the interaction instruction processing module receives a positioning operation signal triggered by a user on an interaction interface to generate a traceability request instruction; and the exception rechecking module performs rechecking according to the traceability request instruction and the rendering instruction. According to the invention, the problems of insufficient surface defect detection precision, difficulty in quality tracing and lack of process closed-loop control in industrial production can be solved.

An outdoor cooking station configured to simultaneously and independently cook food with separate cooking modes. The cooking station includes a main body extending to define a smoker chamber and a separate air fryer chamber. The smoker chamber is heated with smoke from igniting and burning pellets and the air fryer chamber is heated with an electrical heating element and a fan for mixing the air therein. In one embodiment, the cooking station includes a motor fan that draws smoke from the smoker chamber to the air fryer chamber with ducting therebetween. With this arrangement, the cooking station provides different cooking chambers dedicated for cooking food independent of each other as well as a secondary chamber or the air fryer chamber being employed for cold smoking food items or the option to provide smoke to the air fryer chamber while air frying the food therein.

The invention relates to the field of food, and provides cheese and a preparation method thereof, and the cheese comprises the following raw materials: micellar casein liquid, single cream, carbohydrates, a leavening agent, chymosin, calcium salt, table salt and water. The cheese is good in stretching softness, easy to shape, good in baking performance, good in flavor and taste and high in stability, and can be stored for at least 9 months under the refrigeration condition.

The invention discloses a food cold chain data visualization automatic generation method VIS-Lma based on a large language model. The food cold chain data visualization automatic generation method comprises the steps of collecting and cleaning food cold chain data, generating an effective visualization chart by utilizing Tableau, extracting chart elements through visualization reverse engineering to generate Vega-Lite grammar, and finally constructing a food cold chain corpus FDvis through an iteration generation method. The method comprises the following steps: carrying out feature processing on a two-tuple of an FDvis corpus, and then carrying out fine tuning on the corpus by utilizing an Llama3.1 large language model in combination with a Low-Rank Adaptation (LoRA) technology, so as to generate a visual automatic generation model VIS-Lma; a VIS-Lma model is integrated to construct a visual automatic generation system (AIG-FDvis), and rapid analysis of uploaded data and automatic generation of a visual chart are realized. The food cold chain data visualization method is applied to the field of food cold chains, provides visual recommendation for cold chain analysts, enables the visualization process of food cold chain data to be more efficient, improves the data analysis and decision-making ability of the food cold chain analysts, and provides powerful support for food safety supervision and decision-making.

The utility model belongs to the technical field of food processing machinery, and particularly relates to a food fixing mechanism and a food rolling machine thereof. The objective table is provided with a first bearing area, and the upper end of the objective table is provided with a plurality of air holes located in the first bearing area; the rolling cloth covers the objective table, the front end of the rolling cloth is fixedly connected with the front side of the objective table, the rear side of the rolling cloth is connected with the rack, the part, covering the first bearing area, of the rolling cloth forms a second bearing area, and the rolling cloth is made of a breathable material; and the suction end of the negative pressure generating mechanism is communicated with the plurality of air holes. The food rolling machine can replace manual work to roll flaky food, negative pressure fixation can be carried out on the food during rolling, so that rolling cloth and the food are kept flat, displacement of the rolling cloth and the food is avoided, the food can be neatly rolled, the rolling quality of sweetend rolls is improved, compared with manual rolling, the rolling efficiency is higher, the large-scale production requirement can be met, and the production cost is reduced. In addition, labor cost can be reduced, economic benefits are improved, and market application and popularization are facilitated.

The invention provides an automatic food counting method and device based on an image, and belongs to the technical field of image recognition, and the method comprises the steps: carrying out the preprocessing of a first image, and obtaining a second image; the first image is a transportation image of the food on the conveying belt; segmenting the suspected adhesion area image based on a watershed algorithm to obtain the food quantity of the suspected adhesion area; wherein the suspected adhesion region is a region of which the area meets a first condition and the gray scale standard deviation meets a second condition in the second image; obtaining a counting result based on the food quantity and the normal food quantity of all the suspected adhesion area images in the second image; wherein the normal food quantity is obtained based on the normal connected region in the second image. According to the image-based automatic food counting method and device provided by the invention, the accuracy and reliability of image counting can be improved.

The invention discloses a high-pressure sterilization device for food processing, and belongs to the technical field of food processing.The high-pressure sterilization device comprises a high-pressure sterilization tank and a tank cover installed at the top end of the high-pressure sterilization tank, and a food sterilization bearing mechanism used for loading food to be processed is arranged in an inner cavity of the high-pressure sterilization tank; the food sterilization bearing mechanism comprises two wheel discs which are symmetrically connected and spaced, a plurality of multi-directional rotating assemblies movably installed between the two wheel discs in an annular array mode and a sterilization basket, food to be processed is contained in the sterilization basket, and a U-shaped supporting frame is rotationally installed and supported on the lower portions of the outer sides of the two wheel discs; a second servo motor is installed on the outer wall of one side of the U-shaped supporting frame, an output shaft of the second servo motor penetrates through the U-shaped supporting frame and is fixedly connected with the wheel disc, and a lifting mechanism is arranged between the bottom face of the U-shaped supporting frame and the inner bottom wall of the high-pressure sterilization tank. The contact area of food and steam is increased, so that the sterilization effect is improved.

Disclosed herein is an animal waste station configured to determine when an animal has entered the waste station and exited the waste station after elimination. In various embodiments, the animal waste station is configured to dispense a food item based at least in part on the foregoing determination. In various embodiments, the animal waste station and associated treat dispensing unit are integrally coupled to reduce the ability for tampering or chewing.

The invention relates to a double-layer preservative film for prolonging the shelf life of frozen beef and mutton after unfreezing and a preparation method of the double-layer preservative film. According to the preparation method of the angelica dahurica extract-gliadin nano-particles, the angelica dahurica extract-gliadin nano-particles can be used for preparing a double-layer preservative film, and the preservative film is a natural component and is environmentally friendly and safe. The preservative film is of a double-layer structure, the mechanical performance is enhanced through the double-layer film structure, and meanwhile the preservative film has excellent oxygen and water vapor barrier performance and an antibacterial effect. According to the preservative film disclosed by the invention, slow release of active ingredients is realized by utilizing the Pycnogenin-gliadin nanoparticles, so that the antioxidant and antibacterial effects are remarkably improved, and the quality guarantee period of meat is prolonged. In addition, the preservative film does not need to be in direct contact with food in practical application, potential safety hazards of the food are further reduced, the operation process is simplified, pollution is avoided, a user can conveniently use the preservative film, the preservative film has the advantages of efficient preservation and environmental protection, and the preservative film has good application prospects and value.

The invention discloses a collinear production control method and system for instant food, and relates to the technical field of production control, and the method comprises the steps: defining a production operation process set for a collinear production line; a switching energy consumption item is defined, energy consumption needed by switching between every two production operation processes is calculated through the switching energy consumption item, a switching energy consumption set is output, and the switching energy consumption item comprises equipment repetition rate energy consumption, material transfer distance energy consumption and equipment initialization energy consumption; constructing a switching energy consumption matrix according to the switching energy consumption set; based on a greedy algorithm, performing global optimization in the production operation process set by switching the energy consumption matrix to obtain a serialized production operation process; and performing sequence switching control on the production operation process set according to the serialized production operation process. The technical problems that in the prior art, the production operation process switching efficiency is low, and the switching energy consumption is high are solved, and the technical effects of improving the production efficiency and reducing the energy consumption are achieved.

The invention relates to the technical field of machine vision and food quality detection, in particular to a food defect real-time detection method and system based on image processing. The method specifically comprises the following steps: integrating multi-modal data, and adaptively adjusting a weight coefficient to improve data quality; multi-stage noise reduction is carried out, key frames are extracted, and a key frame verification mechanism is enhanced through a 2FA control variable; constructing a YOLO-BioNet model, and optimizing the detection efficiency and precision in a complex scene through dynamic convolution kernel allocation and a spiking neural network; integrating Kalman filtering, LSTM (Long Short Term Memory) time sequence modeling and a deep reinforcement learning model, analyzing a food surface change track and predicting a defect state; real-time data and historical information are fused, and a dynamic threshold value is calculated through a Bayesian network; performing linkage response between an automatic sorting instruction and a production line; a distributed storage and graph neural network optimization model is adopted, and defect tracing is supported. The method has remarkable advantages in the aspects of real-time performance, detection accuracy and self-adaptive capability.

The invention discloses a food image denoising method based on dynamic coding and efficient channel perception hybrid upsampling, and the method is characterized in that a dynamic coding module CAMixer and a channel perception hybrid upsampling module E-CAMixUp are cooperatively integrated, and an efficient channel perception hybrid denoising network ECAMixDNet is formed. According to the method, the CAMixer utilizes a learnable attention mechanism to adaptively adjust attention so as to contain more useful textures, the representation capability of convolution is improved, and the E-CAMixUp realizes high-quality image reconstruction under multi-scale noise perception through the collaborative design of dual-path feature reconstruction and adaptive channel interactive filtering, so that the image reconstruction efficiency is improved. The problem that artifacts are easily introduced in the reconstruction stage by an inter-channel noise distribution difference suppression mechanism is solved. The network extracts multi-scale features through a Swin Transform and an RBF attention mechanism, a decoder is combined with a residual module to realize high-quality reconstruction, food texture and color sensitivity are effectively kept, and visual restoration quality is improved.

The utility model discloses a bionic service type humanoid robot head structure which comprises a head structure, a sensory system, a mouth system, a visual system, a nose system and an ear system, the mouth system, the visual system, the nose system and the ear system are connected with the sensory system, and the mouth system, the visual system, the nose system and the ear system are installed on the head structure. The mouth system comprises a jaw structure, a tooth structure, a lip structure and a tongue structure, the sensing center, the sensor network, the signal processing unit and the execution unit form a sensory system, the sensory system can timely and effectively feed back external environment changes, and the capability of interacting with the outside is greatly improved; meanwhile, according to the taste sensor, the humanoid robot can test and evaluate the food under the condition that no human testee exists, and the taste sensing system can simulate the function of a human taste sensing system, so that the taste of the food is automatically evaluated.

A control system for a drive through includes processing circuitry. The processing circuitry is configured to determine, using image data obtained from multiple cameras, a characteristic of a vehicle in a lane of the drive through. The processing circuitry can operate a point of sale unit to provide an indication of the characteristic of the vehicle. The processing circuitry can, responsive to detection of one or more of a plurality of vehicles using the image data, perform at least one of (i) initiating an alert via the point of sale unit for staff of the drive through, (ii) initiating an action to open an additional lane, or (iii) initiating a kitchen action to prepare one or more food or beverage items.

The invention provides a temperature measurement calibration method and system, and the method comprises the steps: putting food to be cooked into an oven cavity, and selecting corresponding food information on an operation panel; the temperature probe is inserted into the food, a heating program is started, the thermopile array sensor scans and measures the surface temperature of the food and transmits data to the main control module, and the temperature probe transmits the real-time measured internal temperature data of the food to the main control module; after the main control module receives the temperature data, a corresponding temperature correction coefficient matrix is called according to the selected food type, measurement data of the thermopile array sensor is calibrated, and the corrected food comprehensive temperature is obtained; and the main control module dynamically adjusts the heating power and time according to the corrected food comprehensive temperature data and preset cooking target temperature and food type information. By optimizing the installation position of the sensor, designing an anti-interference and self-cleaning mechanism and combining an accurate correction algorithm, high-precision measurement and calibration of the food temperature are achieved, accurate data support is provided for intelligent food cooking, accurate intelligent regulation and control of the food heating process are achieved, and the cooking effect and the user experience are improved.

The utility model belongs to the technical field of food processing machinery, and particularly relates to a food rolling mechanism and a food rolling machine thereof. The objective table is arranged on the rack; the rolling cloth covers the objective table, and the front end of the rolling cloth is fixedly connected with the front side of the objective table; the rolling part pushing mechanism comprises a pushing part located on the rear side of the rolling part and located on the lower surface of the rolled cloth and a second driving mechanism used for driving the pushing part to move front and back; and the rolled cloth winding and unwinding mechanism is arranged on the rack and comprises a fixing piece arranged on the rear side of the rolling part and a first driving mechanism used for driving the fixing piece to move front and back, and the rear end of the rolled cloth is fixedly connected with the fixing piece. The food rolling machine can replace manual work to roll flaky food, the rolling process is smooth, tightening and blocking are not prone to occurring, the rolling quality of the food can be guaranteed, compared with manual rolling, the high rolling efficiency is achieved, the large-scale production requirement can be met, in addition, the labor cost can be reduced, the economic benefits can be improved, and market application and popularization are facilitated.