102 results about "Product Label" patented technology

The invention relates to the technical field of market analysis, in particular to a brand positioning optimization method based on big data, and the method comprises the steps: collecting multi-channel brand performance data, calculating a mean value, extracting a co-occurrence relation between emotion words and labels in comments, judging an emotion and image matching structure, and analyzing competing product label frequency difference and cognitive overlap. And identifying a user portrait and emotion offset, and merging expression gaps to generate an optimization suggestion scheme. According to the method, differentiated collection and unified coding are performed on multi-channel indexes, a brand expression structure capable of cross comparison is constructed, data definition is improved, comment words and brand labels form a co-occurrence matrix, an emotional expression structure under the value dimension is extracted, competitive product analysis locates a cognitive blank on the basis of label difference and coverage degree, and the competitive product analysis accuracy is improved. The emotion deviation value and the label acceptability are introduced as dynamic parameters by user division, and finally a fusion label missing and emotion space is output, expression reconstruction and crowd adaptation are completed, and dynamic linkage and positioning updating of a brand structure are realized.

The present invention relates to a system and method for analyzing videos. The system comprises a video section and a tabs section, wherein the video section comprises a video and the tabs section comprises at least one tab with items or information related to the video. In most embodiments one of the tabs is a products tab which lists items in the video which can be purchased. These items are associated with specific time points in the video, generally when the item is visible in the video. When a user watches the video, the individual products will be highlighted as their time points are viewed. The user can additionally scroll through the list of products without effecting video playback. The method comprises the gathering and uploading of information associated with the video.

1. Name of the designed product: product label. 2. Use of the designed product: for showing the relevant information of the product. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

This invention discloses a product classification and recognition method and system based on AI technology, belonging to the field of AI recognition technology. By constructing a semantic alignment master vector Edis, the system achieves structured extraction and ambiguity resolution of the overall semantic representation of the product. On this basis, the system introduces the construction of a product classification label semantic vector set Gvec and a semantic similarity score set Sset, enabling the system to perform fine-grained matching of multiple classification labels based on contextual semantic features. This constructs a confidence score Conf reflecting the classification credibility, which is then compared with a preset classification judgment threshold Thrs to ensure that product labels are output only when the classification judgment credibility is sufficient. Through the connection of the above processes and the linkage of output results, this method not only significantly reduces the probability of misjudgment caused by expression ambiguity and word order reversal, but also provides a reliable rejection mechanism when accurate classification is not possible, effectively improving the overall robustness and practical value of the classification system.

The invention relates to a label data processing method and device, equipment and a storage medium. The method comprises the following steps: performing label mining processing on a plurality of data sources associated with a product service, determining a plurality of first product labels, and respectively determining product categories to which the plurality of first product labels belong; and for each product category, determining respective tag popularity values of the plurality of first product tags belonging to the product category on the plurality of data sources, and screening out at least one second product tag from the first product tags belonging to the product category according to the tag popularity values. And obtaining a product description template matched with the product category, obtaining label discrimination information for each second product label, the combined product description template and the second product label, carrying out label consistency discrimination processing on the label discrimination information, and taking the second product label as product label information of the product category when determining that the labels have consistency. By adopting the method, the mining and distinguishing efficiency of the product labels can be improved.

The utility model relates to the technical field of packaging paper products, and discloses a packaging paper product printing label pasting assembly which comprises a bottom plate, the top of the bottom plate is fixedly connected with a supporting frame, the top of the supporting frame is fixedly connected with a supporting rod, one side of the supporting rod is provided with a paper ring, and the top of the bottom plate is fixedly connected with a pasting base. A pasting assembly is arranged at the top of the supporting frame and comprises an air cylinder and a sliding plate, the bottom of the air cylinder is fixedly connected to the top of the supporting frame, the top of the sliding plate is fixedly connected to the output end of the air cylinder, and a soft pressing block is fixedly connected to the bottom of the sliding plate. The output end of the motor drives the second guide wheel to rotate, the second guide wheel and the first guide wheel drive label paper to move, the output end of the air cylinder drives the sliding plate to slide on the outer wall of the sliding rail, the sliding plate drives the bottom soft pressing block to press downwards, the effect that paper products of different shapes and sizes can be pasted is achieved, and therefore the pasting efficiency is improved.

The invention provides a product anti-counterfeiting traceability detection system based on machine vision and a working process, belongs to the technical field of product anti-counterfeiting traceability detection, and aims to provide the product anti-counterfeiting traceability detection system based on machine vision and the working process. The product anti-counterfeiting traceability detection device can be installed on an assembly line or any stable cross beam, on one hand, the first industrial camera is used for collecting product labels for anti-counterfeiting traceability detection, on the other hand, the second industrial camera can shoot label images at different angles to enrich a data set, and the accuracy of watermark extraction is improved. Meanwhile, the detection system is matched with a printing-shooting-resistant image watermark embedding and extracting method based on deep learning, so that a machine vision system has strong image recognition and analysis capabilities, and powerful technical support is provided for anti-counterfeiting traceability of products.

1. The name of the design product: label (Aojiutian yeast oligosaccharide defense peptide product). 2. The use of the design product: for product labels. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: front view. 5. The design product is a flat product, omitting left view, right view, top view, and bottom view.

An analyzing system for identifying and measuring a solar panel module is provided. The solar panel module includes a product label that is attached thereon. The analyzing system includes a housing, a carrying unit, and an image recognition unit. The carrying unit is mounted on the housing and is configured to carry the solar panel module and to measure a weight of the solar panel module that is carried by the carrying unit. The image recognition unit is mounted on the housing and is configured to move relative to the carrying unit and, while moving relative to the carrying unit that is carrying the solar panel module, to capture an image of the solar panel module. The image recognition unit is configured to process the image thus captured to obtain dimension data and product information of the solar panel module, where the product information is related to the product label.

1. Name of the designed product: label (1). 2. Use of the designed product: used for product label. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo that best shows the design points: front view.

A method is provided, the method including obtaining one or more vision machine learning—artificial intelligence (ML-AI) models associated with a product and obtaining one or more images of a product label of the product. The product label indicates a variable ink that changes colors based on environmental aspects. The method also includes determining condition information indicating a status of the product label based on the one or more vision ML-AI models and the one or more images of the product label indicating the variable ink, and outputting an indicator indicating the status of the product label based on the condition information.

1. Name of the product in this design: Label (1). 2. Purpose of this design: This design is intended for use on product 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 points: the front view. 5. This design is a two-dimensional product, so the left view, right view, top view, and bottom view are omitted. The rear view is omitted because it has no design features.

The invention relates to a multi-model-based product label auditing method, system and device and a medium, and the method comprises the steps: obtaining a product label picture of a preset product, and the product label picture comprises an image label and a text label; performing text recognition on the text tag, and extracting tag text information of the preset product; on the basis of the image tag, content correction is carried out on the tag text information through a multi-modal model and a first large language model, and corrected tag text information is obtained; and based on the label text information, performing compliance auditing on the product label of the preset product through the second large language model. Through application of the method and the device, identification and auditing of the label information are realized by combining the product image label and the text label under a multi-model architecture of a multi-modal model and a large language model, the identification and auditing accuracy of the label information is effectively improved, and the problem of how to improve the identification and auditing accuracy of the product label information is solved.

1. Name of the product in this design: RFID tag inlay (1). 2. Purpose of this design: This product is used for the identification and tracking of items, such as logistics management, inventory control, or anti-counterfeiting verification. 3. The key design features of this product are its pattern, which consists of two symmetrical vertical stripes, a central rectangular element, a serpentine line pattern connecting the rectangular elements, and two dots (one below the rectangular element and one in the serpentine line). 4. The image or photograph that best illustrates the design's key features: the front view. 5. This design is a two-dimensional product, so the left, right, top, and bottom views are omitted; the back of this design is a part that is not easily seen or cannot be seen during use, so the rear view is omitted. 6. Other situations requiring explanation: In the design product (RFID tag inlay) of this application, the tag body and the circle are an integral part of the product and will be attached together to the surface of the target item.

1. Name of the designed product: label (2). 2. Use of the designed product: used for product label. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo that best shows the design points: front view.

1. The name of the designed product: label (small coffee beverage). 2. The use of the designed product: the designed product is used as a product label on a packaging container. 3. The design points of the designed product: the combination of shape, pattern and color. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The design for which protection is sought contains color. 6. The designed product is a thin product, and design 1 left view, design 1 right view, design 1 top view, design 1 bottom view, design 1 perspective view, design 2 left view, design 2 right view, design 2 top view, design 2 bottom view, design 2 perspective view, design 3 left view, design 3 right view, design 3 top view, design 3 bottom view, design 3 perspective view are omitted. 7. Design 1 is designated as the basic design.

A product label printing and inspection system comprising data processing means configured to control the printing of product labels, to control the acquisition and reception of images of the printed labels by image acquisition means such as an optical scanner, and to inspect the printed labels for defects, wherein each printed label conforms to a label format specification for that label, whereby the labels have a common layout and comprise information relating to the printed product located in one or more areas on the label, wherein the data processing means comprise a label inspection module in which a reference image of the label is provided and the inspection module is configured to cause the acquired image to be sequentially compared to the reference image in accordance with predetermined quality control indicators relating to the expected information content and location in the label areas, and wherein if the label does not conform, the label is flagged for review or rejection. The label format specification can be determined and / or stored in the form of an accessible file prior to the printing process. The label format specification can then be retrieved by the label printing and inspection system prior to the printing process using that label format. In one aspect of the invention, the label format specification can be used to provide instructions to be sent to the printer for printing of each label. Thereby, by assembling the specification for label area locations, area information and verification tools and optionally verification tool parameters, the reference image and its associated verification mask can be configured in real time.

A method and system for establishing product labels, relating to the field of information processing technology, includes the following steps: S1, establishing a correspondence between the standard name of a product and its attributes; S2, collecting product data and extracting textual features from the data to retain characteristic keywords, and matching these characteristic keywords with the standard name to achieve preliminary classification of the product data; S3, classifying characteristic keywords within the same category to obtain different characteristic features, and adding characteristic features containing more than a set threshold to the product attributes, thereby establishing new product attributes or improving existing ones, thus forming product labels. In this way, product attributes are updated based on product data, making the label formation up-to-date. This facilitates consumer selection and reference when addressing specific consumer needs, and is also convenient for use as a recommendation algorithm.

The utility model discloses an ink-jet printer for product label production, and relates to the technical field of label production equipment. The device comprises a workbench and a matching assembly. Through the arrangement of the matching assembly, when label paper is transported, the electric heating roller, the electric heating wire net and the servo motor are started, the electric heating roller heats the temperature conducting sleeve, the servo motor drives the temperature conducting sleeve to rotate through the driving rod, and then the temperature conducting sleeve is used for heating and flattening the label paper; the flattened label paper is conveyed to the area of the code spraying device, code spraying work can be conducted through the code spraying device, after code spraying is completed, along with conveying of the label paper, under the action of the conveying belt, the blowing blades are driven to rotate, and under the action of the electric heating wire net, code spraying is conducted on the label paper; and hot air is blown to the label paper through the air outlet box, so that the air drying efficiency of the stamp-pad ink on the label paper is improved, and the jet printing is dry and clear and does not disperse.

A machine vision inspection system (1) has digital data processors (25) linked with an articulated arm robot (15) supporting a camera and illuminator head (10) for capturing images form a scene over a machine bed (3). The head also includes a system-on-module with a GPU as an inspection processor located adjacent the camera sensor (120), but in a different chamber (109) of the head, separated by a chamber wall (123) from a camera chamber (108). The object may be three dimensional components in a manufacturing line, or product labels. The processors move the robot to pre-set camera positions and control image acquisition and scene illumination for each of a plurality of inspection points. During setup, the processors capture a pre-set robot position, preset camera settings, preset illumination parameters, and a natural language prompt for each of the plurality of inspection points. During runtime, for each inspection point the processors cause the robot (15) to move to the pre-set position for the inspection point when an object is in the camera scene (3) and activate the camera illuminator head to illuminate the scene and capture an image of the object. The inspection processor (140) then executes artificial intelligence code to analyse the image and determine results for the scene, generate an output for the inspection point in a format determined by the prompt associated with the inspection point during setup.

1. The name of the design product: label (BiaoBu). 2. The use of the design product: the design is used for product label. 3. The design points of the design product: in the front view. 4. The picture or photo that best indicates the design points: front view. 5. The rear view is not common, so it is omitted; the product is a flat product, so the left view, right view, top view and bottom view are omitted.

The invention discloses a product classification and identification method and system based on an AI technology, relates to the technical field of AI identification, and realizes structured extraction and ambiguity resolution of overall semantic representation of a product by constructing a semantic alignment main vector Edis; on the basis, construction of a product classification label semantic vector set Gvec and a semantic similarity score set Sset is introduced, so that the system can perform fine-grained matching on a plurality of classification labels according to context semantic features, a confidence score Conf reflecting classification credibility is constructed, the confidence score Conf is compared with a preset classification judgment threshold Thrs, and a classification result is obtained. According to the method, the product labels are output only when the classification judgment credibility is sufficient, the probability of misjudgment caused by expression ambiguity and word order inversion is remarkably reduced through linkage of series connection of the processes and output results, a reliable rejection mechanism is provided when accurate classification cannot be achieved, and the reliability of the product labels is improved. And the overall robustness and the practical value of the classification system are effectively improved.

The utility model relates to a reusable product label which comprises a label body, the label body comprises an upper pressing piece, a lower pressing piece and a bending part connecting the upper pressing piece and the lower pressing piece, and the bottom of the upper pressing piece covers the top of the lower pressing piece; the bending part is bent towards the directions of the upper pressing sheet and the lower pressing sheet, and the bending part has elasticity, so that the upper pressing sheet and the lower pressing sheet can clamp an object and are fixed on the object; the outer surface of the upper pressing piece is detachably connected with an information layer, and the surface of the information layer is covered with a wear-resistant layer. Through the design of the upper pressing piece, the lower pressing piece and the elastic bending part, the label can be clamped and fixed on an object and can be conveniently removed, so that the label can be repeatedly used, and the use cost is reduced. Moreover, the information layer which is detachably arranged on the outer surface of the upper pressing piece is made of silica gel, so that the waterproof function is achieved, the information layer of different product information can be replaced, the durability of the label is improved, and the purposes of recycling and reusing can be achieved.

1. Name of the designed product: label (spicy noodles). 2. Use of the designed product: used for product label. 3. Design points of the designed product: the combination of patterns and colors. 4. Picture or photo that best shows the design points: design 1 front view. 5. The design contains colors. 6. Design 1 is designated as the basic design.

This utility model relates to the field of electricity meter testing technology, and particularly to a testing component and testing equipment for testing product labels on electricity meters. The electricity meter has a product label on its surface, which includes a first information identifier and a second information identifier. The testing component includes a first detection element, a second detection element, and a control element. The first detection element detects and identifies the first information identifier and generates first detection information; the second detection element detects and identifies the second information identifier and generates second detection information; the control element receives the first and second detection information, and is capable of comparing the first and second detection information and outputting the comparison result. The testing equipment includes the above-described testing component. This testing component and equipment offer high testing accuracy and efficiency for electricity meters.

The application provides a kind of intelligent product label identification information entry device, including the frame with cavity structure in it, four groups of symmetrical chute are provided in the frame, sliding block is provided in the chute, electromagnet one is detachably provided on each group of sliding block, electromagnet one is magnetically connected with armature one, and the surface of armature one is provided with product with label identification;The bottom surface of the frame is provided with servo motor one, the output end of the servo motor one is provided with screw rod one, the sleeve is threadedly connected with the screw rod one, and the sleeve is symmetrically provided with four groups of collection heads corresponding to four groups of products outside;The top surface of the frame is provided with driving assembly for driving four groups of sliding blocks to move synchronously in corresponding chute, during the sliding process of four groups of sliding blocks driven by driving assembly, four groups of collection heads are driven by servo motor one to move synchronously, the synchronous input of four groups of products with label identification is realized, and the input efficiency of identification product is improved.

1. The name of the design product: RFID tag inlay (5). 2. The use of the design product: The product is used for identification and tracking of objects, such as logistics management, inventory control, or anti-counterfeiting verification. 3. The design points of the design product: The pattern of the product, specifically the symmetrical vertical bar structure on both sides, the central rectangular element, the unique snake line pattern connecting the rectangular elements, and the two dots and a "+" symbol inside the rectangular element. 4. The picture or photo that best represents the design points: Front view. 5. The design product is a flat product, so left and right, top and bottom views are omitted; the back of the design product is a part that is not easily visible or not visible during use, so the rear view is omitted. 6. Other circumstances that need to be explained: In the design product (RFID tag inlay) of this application, the tag inlay and the circle are an integral part of the product and will be attached together on the surface of the target object.

1. Name of the designed product: label (boy IP image). 2. Use of the designed product: used for product label. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo best indicating the design points: front view. 5. The design claimed contains color. 6. The designed product is a flat product, and other views are omitted.

1. The name of the design product: RFID tag inlay (2). 2. The use of the design product: The product is used for identification and tracking of objects, such as logistics management, inventory control, or anti-counterfeiting verification. 3. The design points of the design product: The pattern of the product, specifically the symmetrical vertical bar structure on both sides, the central rectangular element, the compact serpentine line pattern connecting the rectangular elements, and the two dots and a "+" symbol inside the rectangular element. 4. The picture or photo that best represents the design points: Front view. 5. The design product is a flat product, so left and right, top and bottom views are omitted; the back of the design product is a part that is not easily visible or not visible during use, so the rear view is omitted. 6. Other circumstances that need to be explained: In the design product (RFID tag inlay) of this application, the tag inlay and the circle are an integral part of the product and will be attached together on the surface of the target object.

1. The name of the design product: label. 2. The use of the design product: for product label. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best shows the design points: perspective view. 5. The design product is a thin product, and the left view, right view, top view and bottom view are omitted.