84 results about "Food category" patented technology

The present invention uses market research data to access nutrient intakes of a population. Dietary collection using 24-hour recall generally does not reflect a pattern of “usual” intake behavior for a population group. To determine the impact of food consumption patterns on nutrient intake, a unique methodology using 14-day food diary was developed. The food industry has traditionally used detailed food records to track the consumption of specific branded food items and monitor the growth of food categories, but some of the most valuable databases available concerning longer-term (e.g., 14-day) food intake do not record portion size on an individual consumption basis. Other databases based on shorter-term (24-hour recall) survey periods record portion sizes but are not very representative of eating habits. The preferred exemplary embodiment integrates two such databases with a third data set providing detailed nutrient information for each of a wide variety of foods consumed to provide a combined database for processing nutrient intake reports using statistical analysis. This flexible system allows the user to categorize the population based on “usual” consumption of food categories, specific foods and/or specific brands of foods and determine dietary differences versus their “non-using” counterparts.

A method for operating an oven including a microcomputer includes receiving in a microprocessor of an oven, a plurality of inputs from a user indicative of a conventional cooking time, a conventional cooking temperature, and a food category, wherein the oven includes an RF generation module, an upper heater module, a lower heater module, and a convection fan, and converting at least one of the conventional cooking time to a speedcooking time different than the conventional cooking time, and the conventional cooking temperature to a speedcooking temperature.

A microwave heating apparatus for heating a load by means of microwaves is provided. The microwave heating apparatus comprises a cavity arranged to receive a piece of food to be heated, a first microwave supply system configured to supply microwaves at the cavity bottom for energizing a browning function in the cavity, a second microwave supply system configured to supply microwaves into the cavity for exciting cavity modes and a control unit configured to control the first and second microwave supply systems based on a food category and/or a cooking program. The first supply system comprises at least one microwave source and at least one antenna arranged in a lower part of the cavity and the second microwave supply system comprises at least one microwave source and at least one feeding port arranged in an upper part of the cavity. The present invention is advantageous in that a microwave heating apparatus with an improved crisp function is provided.

The invention is an integrated shopping list and coupon folder, formed from a single shopping list sheet. Major food and non-food category listings are provided on the shopping list sheet, as well as blank lines for listing individual items, sizes, brands, and the like. Coupon reminders are also located proximate to each blank line. A bottom tacky strip is located across the bottom edge of the shopping list sheet, and two side tacky strips are located at opposing side edges of shopping list sheet. To convert the shopping list sheet into an integrated shopping list and coupon folder, the completed shopping list sheet is peeled from a pad of such sheets and folded along a central fold line, such that the bottom tacky strip seals against itself and the side tacky strips seal against each other. The integrated shopping list and coupon folder is thus formed.

The invention discloses a composition for relieving asthenopia of the adolescent and promoting memory and a preparation method of the composition for relieving asthenopia of the adolescent and promoting memory. The composition is prepared by the following components in certain parts by weight: lutein ester, lutein, blueberry powder, vitamin A, taurine, vitamin B1, vitamin B2, vitamin B3, vitamin B6, vitamin B12, vitamin C, calcium pantothenate and zinc gluconate. The composition can be prepared into various food categories, preferably into the food categories of beverage, dairy product, biscuit, candy product and special diet. The composition of the invention is scientific in raw material compatibility and is capable of supplementing nutritional elements needed for the eyes and the brain, relieving asthenopia of the adolescent and promoting memory.

The invention relates to a seafood jelly, which comprises jelly glue solution and is characterized by also comprising processed seafood, wherein a processing method for the seafood comprises steps of cleaning the seafood and then steaming/boiling the cleaned seafood. A preparation method for the seafood jelly comprises the following steps of: adding the processed seafood into a container, injecting 80 to 100mL of jelly glue solution into the container, sealing the container, heating the sealed container in an 85 DEG C water bath for 20 minutes, and cooling the mixture to obtain the seafood jelly. The seafood with rich nutrition is added into the jelly to make up the nutrition defect of the jelly so as to increase the nutritional value of pure jelly and change the nutritional structure compared with other new-type jelly. Moreover, the seafood jelly has a special flavor which cannot be obtained during separately eating the jelly or the seafood, and increases the consumption mode of the seafood. The seafood jelly has crystal clear appearance, smooth mouthfeel and balanced nutrition; and food categories are enriched for people.

A cooking method which provides optimized cooking results when starting the cooking process at ambient temperature and that is applicable to the majority of the food categories.

A food container comprises the storage chamber, emitting device reflecting visible lights into the storage chamber reflecting based on the stored food, with the storage chamber composed of ultraviolet emission device, light deruster module of the optical catalytic filter. It also provides cooling storage method. It keeps food based on the color to choose the best light to reduce the impact to chlorophyll. It obviously keeps several foods category, improved in effect. Users can choose the color of the stored goods to set the proper light.

The invention provides a method for training a food image classification model and an image classification method, and the method comprises the steps: respectively constructing a multi-scale food rawmaterial neural network and a multi-scale food category neural network, and carrying out the multi-scale division of a target image; respectively carrying out multi-scale fusion on each type of features of the target image, and fusing the three types of features after fusion; and inputting the fused features into a classifier based on the fused features for classification. Complementary fusion ofadvanced food semantic distribution and depth visual features is innovatively proposed, raw material attribute information is further fused with the advanced food semantic distribution and depth visual features, the problems of non-rigid structures and geometric deformation of food images are solved, and recognition of the food images is better facilitated. Moreover, through a multi-scale fusion mode, the defect that the food image does not have the spatial arrangement characteristic is overcome, and the classification performance is improved to the maximum extent.

The invention discloses a sleep reminder method using a wearable device, comprising: acquiring target information of the wearer, the sleeping position of the wearer, the transportation mode of the wearer, the dietary information of the wearer and real-time time; according to the target content , to obtain the type of clothing required by the wearer and the length of time it takes to care for the clothing type; obtain the actual sleep information of the wearer in real time, the sleep information including the total actual sleep duration and the actual deep sleep duration; according to the wearer According to the traffic mode, the wearer's sleeping position and the target position, the traffic time required by the wearer is generated in real time; the wearer is woken up, and the diet category and clothing type are output to the wearer. The present invention adopts the above structure and method, the wearer can obtain better sleep quality on the premise of not being late, and the wearer can also obtain a more suitable diet category.

The invention provides a food identification method combining label semantic embedding and attention fusion, which comprises the following steps: a window attention fusion module adaptively selects a discrimination area by using a self-attention mechanism of transformer, and does not need extra frame labeling training; the module fuses window attention of the Swin Transform, cuts an attention area from an original image and amplifies the attention area to serve as input of a next network so as to learn more discriminant features, names of food categories contain important text information such as main components, producing areas and cooking methods, and the module is easy to obtain and helpful for food recognition. Therefore, context-sensitive semantic center loss is proposed, and semantic embedding of the food label is used as the center of the feature space, so that the image expression is guided to learn fine-grained semantic information. The combination of the two improves the food recognition precision.

The invention relates to an intelligent order system based on graphic codes. The intelligent order system comprises a mobile device, a server, an intelligent mobile phone terminal and graphic codes arranged on a dinning table, wherein the server is provided with a graphic code generation module; the mobile device is used for sending the scanned graphic codes into the server; the server is used for carrying out permission validation on the mobile device; when the permission of the mobile device is verified to be legal by the server, first derivative graphic codes are generated by the server, and the first derivative graphic codes corresponding to the graphic codes are sent into the mobile device; after the first derivative graphic codes are acquired by the intelligent mobile phone terminal, the information of the first derivative graphic codes is sent into the server by a wireless network; the graphic codes corresponding to the first derivative graphic codes are acquired by the server, and order page information corresponding to the graphic codes is sent into the intelligent mobile phone terminal by the server; the intelligent mobile phone terminal is used for acquiring the information of food categories selected by a user in the order page and transmitting the information of food categories into the server.

Embodiments of the present invention provide a model generation method and device, and a food identification method and device. The method for generating the model comprises the following steps: acquiring a plurality of corresponding food pictures for each food in a plurality of food categories; preprocessing the food images separately; obtaining at least one corresponding picture to be trained according to each food picture obtained after the pretreatment; using the convolutional neural network model to train the images to be trained, and obtaining the food recognition model. The technical proposal provided by the embodiment of the invention is used for solving the problem that there is no corresponding identification scheme for Chinese food at present to a certain extent.

The invention discloses an intelligent catering system capable of billing according to type and weight, comprising a food weight measurement module, a communication module, a food type identification module, an information processing module and a card reader module, the food weight measurement module and food type identification The modules are respectively connected to the communication module, and the communication module, the information processing module and the card reader module are connected in sequence. Compared with the prior art, an intelligent catering system of the present invention that can be billed according to the type and weight can reduce the staff cost of ordering meals for students at the window, reduce the time for students to line up to choose dishes, and charge according to the type and weight of food , the charges are more fair and reasonable, effectively avoiding waste and starvation.

The invention discloses a refrigerator food inputting method, which comprises the following steps that: obtaining the image of food stored in a refrigerator; displaying a display interface which contains the image of the food and predicts a food category selection window; detecting an operation for a display interface for determining the category of food; and inputting the determined category of food. Through the scheme of the invention, interaction between users and the refrigerator can be in increased, the interestingness of an input process is increased, and the experience feeling of the user is improved.

A food container comprises the food storage chamber with visible light emitted to the chamber from the emitting device that keeps foods with various colors, and the storage chamber optionally sending infrared light to the storage chamber. It also provides the freezing food keeping method. It is effective in keeping the color of the food. It obviously keeps several foods category, improved in effect. Users can select the color of the food to maintain the freshness and remove odor inside the chamber.