144 results about "Trademark" patented technology

The invention relates to an anti-cross-labeling intelligent atlas identification method and device, electronic equipment and a storage medium. The anti-cross-bidding intelligent atlas identification method comprises the following steps: collecting related data in a bidding and tendering process; the data is cleaned, integrated and formatted, so that subsequent graph construction and analysis are facilitated; a bidding data atlas is constructed based on the collected data, nodes represent data entities including bidders and bidding files, and sides represent the relationships including bidding relationships, association relationships and bidding file repetition similarity degrees among the entities; extracting features related to the trademark behavior from the atlas; training the extracted features by using a machine learning algorithm, and constructing a string mark behavior recognition model; evaluating the trained model, and performing parameter adjustment and optimization according to an evaluation result; and the trained model is used to carry out automatic detection of the string marking behavior. According to the anti-cross-labeling intelligent atlas identification method, cross-labeling behaviors can be automatically, efficiently and accurately identified.

The invention relates to the technical field of trademark image retrieval, and discloses a trademark image retrieval method and system based on deep learning, and the method comprises the steps: obtaining a trademark image; scoring the trademark image to obtain image complexity; according to the trademark image and the image complexity, wavelet transformation is carried out to obtain a feature vector, dynamic adjustment is carried out, and feature representation is obtained; according to the feature representation, inputting the feature representation into a preset semantic association model to obtain candidate association information; according to the candidate association information, calculating the similarity between the image semantic vector and the brand node by using a knowledge graph reasoning technology, and obtaining an association result based on a similarity threshold value; dynamically generating a text label of the trademark image according to an association result, and mapping the text label and an entity in the brand knowledge base by adopting an entity linking technology to obtain a mapping result; and inputting the mapping result into a preset semantic link network to obtain a trademark retrieval result. According to the method, the accuracy of trademark image retrieval can be improved.

The invention discloses an intellectual property risk early warning system based on multi-source heterogeneous data fusion, which relates to the field of intellectual property management and comprises a multi-source data acquisition module, a data preprocessing and standardization module, a distributed data storage module, a risk analysis engine module, a risk early warning and visualization module and a data communication module. According to the system, heterogeneous data of a patent database, an enterprise bidding and tendering system and a judicial public platform are collected, a natural language processing technology is utilized to extract patent technology feature entities, trademark image similarity is analyzed in combination with a convolutional neural network, and a dynamic knowledge graph related patent technology, competitor layout and infringement litigation cases are constructed; a deep learning model is adopted to fuse multi-dimensional features, risk scores are generated through weighting of a risk rule base, and graded early warning signals are triggered. According to the method, the problems of low multi-source data integration efficiency and risk response lag are solved, the infringement response time is shortened, and enterprises are guided to accurately arrange high-value patents.

To provide a system.SOLUTION: A system includes: means for performing generation of a name; means for checking the possibility of registering the generated name in different countries; means for checking whether or not the generated name infringes a trademark in different countries; means for creating a list of the results of the checking; and means for assembling application information such as registration.SELECTED DRAWING: Figure 1

The present invention provides a trademark risk management system and method, which is implemented by providing a user-operated electronic device, wherein the electronic device comprises a processor and a network interface controller, a server comprises an application, and the processor connects to the server through the network interface controller to execute the application for the purpose of category recommendation and risk management, especially for the regeneration of text or graphics.

The invention discloses a trademark retrieval library generation method and device based on a multi-modal representation generation model, and the method comprises the steps: constructing a trademark image-text pair according to a Vienna graphic element classification standard, and training the multi-modal representation generation model; constructing an initial trademark retrieval library by utilizing the trained multi-modal representation generation model; obtaining trademark rejection data, and performing fine adjustment on the trained multi-modal representation generation model by using an adapter technology and a triple contrast learning method to obtain an optimized multi-modal representation generation model; and regenerating a trademark image feature vector by using the optimized multi-modal representation generation model, and inputting the trademark image feature vector into a vector database to obtain a final trademark retrieval library. According to the trademark retrieval method, the trademark image-text pair and the trademark rejection data are utilized to finely adjust the multi-modal representation generation model twice, so that the overall retrieval effect of the trademark retrieval library constructed by utilizing the multi-modal representation generation model is improved, and the trademark retrieval result is more accurate.

Disclosed is a system and / or a method for near-instant trademark approval and rejection via ai-powered legal reasoning. The platform includes a user-facing interface enabling an applicant to input a proposed trademark comprising a word mark, logo, and slogan with a textual description of associated goods and services, and optionally visual proof of use in commerce. A classification engine powered by a natural language processing model assists in selecting classes of goods and services from standardized taxonomies. A backend examination engine performs real-time searches, analyses across databases of registered, pending, common law marks using a large language model, and design recognition algorithm. An autonomous legal reasoning module powered by the large language model interprets trademark law precedents, disclaimer requirements, registration criteria, and simulating multi-perspective legal analysis. An outcome generation engine delivers within a predefined time frame a preliminary approval with automated registration, preliminary refusal with detailed explanation, and recommended amendments.

The application discloses a trademark retrieval library generation method and device based on a multi-modal feature generation model, constructs a trademark image-text pair according to the Vienna graphic element classification standard, and trains a multi-modal feature generation model; an initial trademark retrieval library is constructed by using the trained multi-modal feature generation model; trademark rejection data is obtained, and the trained multi-modal feature generation model is fine-tuned by using an adapter technology and a triple comparison learning method, so that an optimized multi-modal feature generation model is obtained; the optimized multi-modal feature generation model is used to regenerate a trademark image feature vector, and the vector is input into a vector database to obtain a final trademark retrieval library. The multi-modal feature generation model is fine-tuned twice by using the trademark image-text pair and the trademark rejection data, so that the overall retrieval effect of the trademark retrieval library constructed by using the multi-modal feature generation model is improved, and thus the trademark retrieval result is more accurate.

The invention discloses a multi-dimensional vocabulary expansion query system and method for trademark registration risk assessment, and the method comprises the steps: constructing a multi-dimensional, regionalized and quantitative conflict risk assessment and registrability prediction model, employing an advanced large language model, and combining the regionalized language culture characteristics; a comprehensive variant set of a target trademark in multiple dimensions such as shape, sound, meaning, common name, network term and cross-language transcription is intelligently generated, and the whole process of vocabulary expansion, full-classification parallel retrieval and risk calculation and prediction is automatically completed. The system has good expandability and maintainability, the comprehensiveness of trademark retrieval and the accuracy of risk identification are remarkably improved, and the risk of missing report is effectively reduced; the trademark retrieval and risk assessment efficiency is improved, and one-key quick response is realized; quantitative, objective and regionalized adaptive risk assessment and regionability prediction are provided to assist the user in accurate decision making; the user experience is improved, and a visual report and a convenient export function are provided.

The utility model relates to the field of trademark identification, and particularly discloses an anti-falling flexible glue trademark which structurally comprises a flexible glue bottom layer and a surface layer which is arranged on the upper surface of the flexible glue bottom layer and is buckled with the flexible glue bottom layer in a movable and detachable mode. The flexible glue trademark has the advantages that due to the fact that the flexible glue bottom layer and the surface layer are movably and detachably buckled, the situation that the whole flexible glue trademark needs to be replaced due to the fact that the flexible glue trademark partially falls off after the flexible glue trademark is installed on clothes can be avoided, the trademark display layer arranged in a matched mode can be replaced according to independent needs, and the flexible glue trademark is convenient to use. Therefore, the practicability and the flexible operation space of the flexible rubber trademark are enhanced.

A product authenticity verification system and a method for using the same provide a three-layered anti-counterfeiting mechanism. First, verification is performed to determine whether a first identification code and a digital signature of a wireless identification tag are same as information stored in a database of a verification server. Second, a tag password verification operation, checked by the tag, needs to be passed before reading content of the tag. Third, a ciphertext and a second identification code for checking the tag are verified. When the above two operations are passed and a read count value of the tag is greater than that stored in the database, the server can determine authenticity of the tag. Because the tag requires the three-operation process each time for verification, and demands a correct password to read the content of the tag, the authenticity of the product and a trademark displayed thereon can be verified.

The utility model discloses a full-automatic efficient trademark removing machine, which relates to the technical field of trademark removing machines and comprises a processing table, a base is fixedly mounted on the outer surface of the processing table, a fixing frame is movably mounted on the outer surface of the processing table, and a control panel is fixedly mounted on the outer surface of the processing table; a pressing plate is movably mounted on the inner side face of the machining table, and a label detaching mechanism for preventing blockage is arranged on the inner side face of the machining table. According to the full-automatic efficient trademark disassembling machine, trademark plates are manually placed on the installed fixing plate, the arranged driving assembly is used for driving the fixing plate to move to the position of the installing plate, then the trademark plates are pushed to the installing plate, the arranged paper pushing assembly is used for pushing the trademark plates into the equipment, and therefore cutting operation is conducted; and the cut waste paper stock falls onto the discharging assembly through the formed groove, and the waste paper stock is discharged through the discharging assembly, so that the waste paper stock is prevented from being accumulated in the equipment, and the processing efficiency of the equipment is improved.

The present invention relates to a method and apparatus for identifying trademark pictures. The method includes: converting a picture to be identified into a picture in HSV format; analyzing the picture in multiple dimensions according to the color information of the picture to respectively obtain analysis values of each dimension, wherein the color information includes: hue, saturation, and lightness; the multiple dimensions include: background type, dark part, highlight, and color; comprehensively processing the analysis values of each dimension to obtain an evaluation value of the picture; and determining whether the picture is a trademark picture according to the evaluation value and a preset standard.

This utility model discloses a blade clamping assembly, belonging to the technical field of trademark and label processing for packaging. The blade clamping assembly includes a blade, a bearing seat, a blade shaft connected within the bearing seat, a clamp fixing seat embedded in the blade shaft surface, and a reference groove extending outward from the clamp fixing seat. The blade is detachably fixed in the reference groove by an airbag clamp. The airbag clamp applies force to the entire bearing surface of the blade, and the airbag volume can be adjusted by increasing or decreasing pressure. It is compact during installation, pressurizes after installation, and depressurizes during disassembly, achieving the technical effect of making the blade easier to disassemble and replace. This solves the problem in existing technologies where the blade clamping structure is large and the blade itself is small, resulting in inconvenient installation and maintenance.

The aim is to improve convenience in payment systems. [Solution] The second payment information acquisition unit 101 of the service provider server 1 acquires the second payment information. The value conversion unit 102 performs a process to convert the second value indicated by the second value information into the first value. The third payment information provision unit 103 provides the first payment information, the first value information indicating the use of the first value converted by the value conversion means, and customer information to the QR code (registered trademark) payer server 5 as third payment information. The third payment information acquisition unit 501 of the QR code payer server 5 acquires the third payment information. The payment processing execution unit 502 settles the customer for a predetermined price of goods, etc., using the first value, based on the third payment information.

The invention discloses a trademark batch retrieval method and system based on big data and AI assistance. The method comprises the steps that a batch to-be-retrieved trademark set and multiple trademark retrieval condition texts are obtained; utilizing the trained multi-modal trademark analysis model to respectively extract retrieval condition features of the retrieval condition text and graphic attribute features of the trademark main body to be retrieved; constructing a retrieval condition feature matrix and a graph attribute feature matrix, and calculating the multi-modal correlation degree in batches through matrix operation to obtain a batch correlation degree matrix; and determining a retrieval target according to the batch association degree matrix and generating a batch retrieval result containing association degree sorting. According to the method, efficient batch retrieval and accurate sorting of trademarks are achieved through multi-modal feature fusion and matrix operation, the retrieval efficiency and accuracy are effectively improved, and the actual application requirement is met.

The invention discloses a trademark protection range discrimination method based on a super network model architecture. The method comprises the following steps: 1) labeling each case in a trademark right infringement case data set to obtain a training set; 2) constructing a multi-label classification model of a trademark right object protection range; 3) defining a loss function and performing model training on the trade right object protection range multi-label classification model by using the training set; and 4) inputting a case fact text sequence containing the description information of the case-related trademarks into the trained trademark right object protection range multi-label classification model to obtain a judgment result of the case-related trademarks. According to the method, the parameter quantity of the model can be effectively reduced, the robustness of the model in practical application is improved, the multi-label classification prediction efficiency of the visual similarity description information among the trademarks is effectively improved, and the method is of great significance in improving the judgment efficiency of such cases.

Prediction and prevention of cybersquatting events include receiving a first input by a computer associated with a first trademark term. A first set of features associated with the first trademark term is determined based on the received first input. Based on application of a first machine learning (ML) model on the determined first set of features, the first confidence score is predicted. The first confidence score is indicative of at least one cybersquatting event associated with the first trademark term. A first alert is rendered based on the predicted first confidence score.

The present invention provides a system of trademark surveillance system with image understanding for multi-country and the method thereof, which is implemented by providing a user-operated user electronic device. The user electronic device comprises a second processor and a second network interface controller. A server comprises a second application program. The second processor is connected to the server through the second network interface controller and executes the second application program to perform trademark monitoring, particularly to monitor trademark images by inputting a text description.

The invention discloses an inventory-containing dynamic trademark production scheduling method, which comprises the following steps that: 1) a user sets a delay duration reduction weight, inputs trademark production scheduling basic information and inputs inventory information; 2) calculating the time length of the inventory needing to be consumed; (3) circulation is conducted for P rounds, and the machining duration of all marks, the remaining stock machining duration and the consumed stock machining duration are updated; and 4) finally outputting a trademark production scheduling result and trademark consumption inventory processing time. According to the invention, through multi-round iteration, the delay of high-inventory selection index trademarks is relieved preferentially, and inventory waste is avoided.

The invention provides a method and device for automatically evaluating trademark prices, and the method comprises the steps: obtaining first trademark information of a to-be-evaluated trademark, determining a same-name trademark and an approximate trademark of the to-be-evaluated trademark, obtaining first price information of the same-name trademark and second price information of the approximate trademark, and finally, according to the first trademark information, the first price information and the second price information, the first evaluation price of the to-be-evaluated trademark is determined, the characteristic rule of the trademark is fully utilized, the data source of trademark price evaluation is more comprehensive and abundant, and scientific, comprehensive and objective trademark price automatic evaluation is realized.

The present application relates to the technical field of intellectual property services, and provides a dynamic generation method and system of multi-country trademark application forms, aiming to solve the technical problems of high cost of separate development of each country form, rule adaptation and adjustment, high threshold of user filling of overseas forms, and low efficiency of application form making of existing multi-country trademark application. The present application comprises: splitting different target country trademark application forms into reusable logical units and integrating standardized controls into an editor to generate form templates and corresponding configuration data that adapt to the requirements of each country; generating a hierarchical information collection interface when accessing the template, collecting Chinese format data through four independent collection sub-units of applicant information, trademark basic information, trademark supplementary information and trademark category information, and automatically converting to generate an application form that meets the official specifications of the target country. The present application can improve the form configuration efficiency, reduce the development and rule iteration cost, reduce user filling errors, and greatly improve the trademark application form making efficiency.

The present invention is enclosed in the area of authentication protocols, in particular web-based authentication protocols for reliably determining the origin of a web content, namely a website, and thereby legitimise / certify such website. It is an object of the present invention a method for reliable authentication of the origin of a website which includes obtaining brand digital information which is digitally associated with the website, wherein the brand digital information comprises a registered trademark and the website has a Uniform Resource Indicator (URI) which is digitally associated to the registered trademark in at least one server of a brand verification system. The solution of the present invention takes a completely different approach with regard to the above referred prior art solutions, as it focusses on a brands digital property, by attributing a self-sovereign identity with which to present itself to its customers / partners, thereby being highly simple and efficient.

The invention relates to the technical field of computer information processing, in particular to a trademark three-level text dividing method based on Redis cache, which comprises the following steps of: receiving and normalizing trademark characters, commodity and service information, trademark classification numbers, applicant identifiers and trademark patterns, and writing normalized data and trademark case identifiers into Redis cache; generating trademark case portrait vectors through the multi-modal feature extraction network and the graph neural network; and constructing an input vector in combination with the to-be-examined quantity and the processing duration of the examination queues at all levels, inputting the text division strategy model to obtain a target examination level, and updating the corresponding queues in the cache to realize automatic shunting of trademark cases. The case complexity and the review load are considered in the text division process, the manual case division pressure is relieved, and the risk case recognition capability and the overall review efficiency are improved.

This invention relates to the field of production data analysis technology, specifically disclosing a method and system for analyzing production data of a trademark die-cutting machine. The method involves identifying the movement trajectories of production actions during the die-cutting process as presented in various production inspection data curves, and acquiring production inspection data curves collected by each production inspection unit when a production action occurs. Subsequently, production information segments associated with the movement trajectories are identified from these data curves, and their timestamps are obtained. Based on these timestamps, the timestamps of the data curves collected by each production inspection unit are adjusted, and finally, the presence of product quality defects is identified based on the adjusted data curves. This solves the problem of asynchronous data timestamps caused by internal clock drift in existing technologies.

This application discloses a trademark retrieval database generation, retrieval method, and apparatus that enhances local features. The method involves constructing a multi-classification training set for trademark graphic elements and training it in an image multi-classification model to obtain a trademark element multi-classification model; constructing a target detection training set for important graphic elements based on trademark data and training it in an image target detection model to obtain a target detection model; inputting all trademark data into the trademark element multi-classification model for prediction and selecting trademark elements as field information; inputting all trademark data into the target detection model to detect important graphic element targets and extracting them into sub-images; inputting all sub-images and the original trademark data image into a trademark encoding model for encoding to obtain encoding vectors; and inputting the field information and encoding vectors into a vector database to obtain the trademark retrieval database. Using the trademark retrieval database provided in this application can significantly improve trademark retrieval results.

The application relates to the technical field of target detection, in particular to a target detection method based on an improved YOLOX algorithm, which aims to solve the technical problem of insufficient detection precision of small target images. The target detection method comprises the following steps: obtaining a trademark data set, and converting the picture format in the trademark data set into a format that can be directly input into a YOLO network for training, thereby obtaining a usable trademark data set; pre-processing the data of the usable trademark data set, and dividing all trademark pictures into a training set, a verification set and a test set; analyzing the training set, the verification set and the test set to determine all trademark categories; improving the network structure based on YOLOX to obtain an improved YOLOX target detection algorithm; training the improved YOLOX target detection algorithm with a training data set, evaluating to obtain a best training weight file, and obtaining a final YOLOX target detection algorithm. The detection precision of small target images is improved.

1. Name of the product of this design: Graphical user interface displayed in the trademark business processing system for electronic equipment. 2. Purpose of this design product: for use in an electronic device. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the graphical user interface: This graphical user interface is used for display in the trademark business processing system. The main view is the trademark business processing interface. When the user hovers the mouse over the "Trademark Registration Certificate" button, the corresponding function entrance will expand, as shown in the interface change status diagram. Among them, "×××" in the interface represents replaceable text and / or numbers and / or letters and / or symbols.

To provide a recommended machine model to be recommended to a game player when the game player plays a game on a specific game machine.SOLUTION: A QR code (R) attached to the surface of an inter-machine card processor 10 is read by a portable terminal 90 (S1), and the read data is transmitted to a machine model information management device 80 as distribution request data (S2). The QR code (R) includes a machine number. The machine model information management device 80 selects machine model data from a machine model corresponding to the machine number included in the received distribution request data and a display form set beforehand (S3), and sends it to the portable terminal 90 (S4). The portable terminal 90 displays the received machine model data (S5).SELECTED DRAWING: Figure 1

We provide a trademark support system suitable for selecting goods or services. [Solution] The trademark support device 100 includes first to third product selection processes. Users can select and use the functions related to the first to third product selection processes from a menu. In the first to third product selection processes, based on information from a common product list, if the relevant product (service) is registered in the product list, the corresponding product selection checkbox is checked when the product (service) is displayed. This allows the user to select a product (service) from the display results obtained by the other functions, taking into account the product (service) obtained by one of the functions related to the first to third product selection processes.