155 results about "Product Label" patented technology

An online system receives a query from a user. An online system generates a prompt to provide to a first machine learning model to determine tags associated with the query. An online system provides the prompt to the first machine learning model. An online system receives as output a set of query tags associated with the query. An online system obtains a list of ranked product tags associated with the query, wherein the product tag is ranked according to a conversion rate of products matching the product tag when users submitted a historical search query. An online system identifies a set of candidate products for the search query. An online system, for each candidate product, provides the set of features to a second machine-learning model to generate a score for the candidate and selects at least a subset of the candidate products based on the generated scores for the candidate products.

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 utility model relates to the technical field of slitting devices for printed matter labels, and discloses a slitting device which comprises two fixing plates, a fixing frame and a cutting seat, and a label roller is fixedly mounted between the two fixing plates through a servo motor; a connecting roller is movably installed in the fixing frames, a cutting roller is arranged between the fixing frames, the cutting roller is sleeved with a cutting tool apron, grooves are symmetrically formed in the outer portion of the cutting roller, sleeve rods are fixedly installed in the grooves, and arc-shaped electromagnetic blocks are fixedly installed at the tops of the sleeve rods. A supporting plate is fixedly installed on one side of the cutting base, two guide plates are fixedly installed on the portion, close to the upper portion of the supporting plate, of one side of the cutting base, two sets of electric push rods are fixed to the upper ends of the guide plates in a penetrating mode, a pressing plate is fixedly installed at the lower end of one set of electric push rods, and a cutting knife is fixedly installed at the lower end of the other set of electric push rods. The pressing plate is located over the supporting plate. The slitting device for the printed matter labels is good in slitting effect and convenient to use.

The invention relates to the technical field of artificial intelligence, can be applied to business system platforms of medical health, financial science and technology and the like, and discloses a product label identification method and device, computer equipment and a storage medium, various sample data related to product label identification are collected, and the sample data comprise text data, picture data and voice data; preprocessing all the sample data to obtain a fine tuning data set, and performing fine tuning on a pre-trained large language model by using the fine tuning data set to generate a product label identification model; obtaining description information of a target product, wherein the description information is generated by utilizing one or more of text information, picture information and voice information related to the target product; formatting the description information to obtain target information, and generating a label identification result of the target product through the product label identification model; therefore, efficient and accurate label identification of the target product can be realized.

1. Name of the design product: Bottle label (Small Boiled Pear Soup). 2. Use of the design product: For product labels. 3. Design points of the design product: The combination of shape and pattern. 4. The picture or photo that best shows the design points: Front view. 5. The back is the part that is not easily seen or not seen during use, and it is blank without a pattern, so the rear view is omitted; Since this design product is a flat product, the left view, right view, top view, and bottom view are omitted.

The present invention relates to the technical field of product label extraction, and specifically, to a product label extraction method based on Internet big data and AI large language models. It includes the following steps: S1. Use web crawler technology to capture the text data of products on the Internet; S2. Adopt the TF-IDF algorithm to determine the important words in the text data, and combine the Skip-Gram model to capture the semantic associations between words. In the process of capturing the semantic associations between words, introduce the weight reflecting the user browsing frequency and the user behavior feature vector to optimize the capturing process; S3. Based on the extracted important words and the semantic association information between words, use a large-scale pre-trained language model to generate product labels; S4. Combine the sequence annotation model BERT and the conditional random field CRF to locate and classify the product labels, and output the finally extracted product labels. The technology of the present invention can effectively locate and classify product labels by combining the BERT model and the conditional random field (CRF) layer.

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. The name of this design product: label (Shenger Mengduo Collection). 2. Purpose of this design product: This design is used for product labels. 3. The design key points of this appearance design product are: the main view. 4. The picture or photo that best illustrates the key points of the design: main view. 5. This design product is a flat product, and the back is not common, so the rear view, left view, right view, top view and bottom view are omitted.

1. Name of the Design Product: Label (for the packing box of straw ropes). 2. Use of the Design Product: For product labels. 3. Design Key Points of the Design Product: The combination of the shape and the pattern. 4. Picture or Photograph that Best Illustrates the Design Key Points: Front view. 5. This is a flat product, so the perspective view, top view, rear view, left view, right view and bottom view are omitted.

The invention belongs to the technical field of data analysis and processing, and relates to a multi-dimensional data analysis method and system based on WeChat nickname information extraction. The analysis method comprises the steps that a user WeChat nickname is acquired and preprocessed; calling a pre-trained BERT model to perform semantic coding on the preprocessed nickname text, and extracting multi-dimensional features including gender tendency, region marks, interest tags, emotional tendency and social attributes; inputting the extracted feature vectors of each dimension into a KMeans clustering algorithm to obtain a plurality of user groups, and generating a tag portrait for each group according to a clustering result; and matching the user group tag with the commodity tag, and calling a recommendation system interface to realize accurate commodity recommendation for different user groups. According to the multi-dimensional data analysis method and system based on WeChat nickname information extraction, interests and attributes can be mined through user nicknames, so that the precision of personalized recommendation and the user satisfaction degree are improved.

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 discloses label attaching equipment which comprises a cabinet, moving wheels are assembled at the bottom of the cabinet, a first support is mounted at the top of the cabinet, a touch panel is mounted at the front end of the first support, and a driving mechanism is arranged at the top of the cabinet and can drive a label to move; a positioning and attaching mechanism is arranged at the top of the machine cabinet and can drive a label to be attached to a product; the top of the machine cabinet is provided with a pressing mechanism, the pressing mechanism can press a product label after the product label is attached, and the attaching equipment is composed of a driving mechanism, a positioning attaching mechanism and the pressing mechanism in a matched mode, the label attaching operation is automatically conducted, rapid and accurate attaching to an attaching object is achieved, and the attaching efficiency is improved. Meanwhile, the equipment has the advantages of being simple in structure, convenient to operate, high in stability and the like, and efficient and accurate automatic attaching and pressing operation can be achieved.

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.

An embodiment of the present invention discloses a transaction processing method, apparatus, electronic device, and storage medium. The method includes: a transaction initiator processes a transaction of a product label, and performs a write message operation on a processing message of the transaction of the product label through a message middleware to obtain a message to be processed; a transaction responder consumes the message to be processed in the message middleware in response to a message processing request of the transaction initiator; the transaction responder notifies the transaction initiator of a first message processing result of the message to be processed through the message middleware, and the transaction initiator determines whether to commit the transaction of the product label according to the first message processing result. By running the technical solution provided by the embodiment of the present invention, it is possible to solve the problem that the label data storage method is based on a relational database, and when processing the transaction of the product label, a single application single-task mode is used for synchronous processing, resulting in low execution efficiency, and achieve the effect of improving the transaction processing efficiency.

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.

1. Name of the design product: Label (Xilante). 2. Use of the design product: This design is used for product labels. 3. Design key points of the design product: Lies in the front view. 4. Picture or photo that best shows the design key points: Front view. 5. The rear view is an uncommon view, so the rear view is omitted; the product is a flat product, so the left and right views, and the pitching views are omitted.

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.