130 results about "Product Identifier" patented technology

Disclosed are systems and methods for determining whether an unknown product matches a scanned barcode during checkout. The system includes a checkout lane having a flatbed scanning area with scanning devices and a point of sale (POS) terminal that scans a product identifier of an unknown product, identifies a product associated with the scanned product identifier, and transmits, to a computing system, product information. An overhead camera idnentifies, based on detecting an optical signal from the POS terminal, that a scanning event occurred, captures image data of the unknown product, and transmits, to the computing system, the image data. The computing system generates machine learning product identification models for identifying unknown products, identifies candidate product identifications for the unknown product based on applying the models to the image data, and determines, based on the candidate product identifications and the information about the product, whether the unknown product matches the product.

Embodiments provide for dynamic generation and updating of quote data objects using machine learning. An example apparatus is configured to receive a quote request and parse the quote request to extract one or more quote parameters. The example apparatus is further configured to determine, based at least in part the one or more quote parameters and by querying a plurality of repositories that are each updated periodically or in real-time, available inventory associated with the product identifier, and to determine a set of alternative quote values for the product identifier. The example apparatus is further configured to generate, using a first trained machine learning model and based at least in part on the available inventory and the set of alternative quote values, a first quote feature for the quote request and a confidence score, and to cause transmission of a quote data object to a user device.

The method comprises the following steps that two-dimensional image data and three-dimensional point cloud data of a to-be-detected product are synchronously collected through a multi-mode sensor, and the multi-mode sensor comprises a high-resolution line scanning camera, a TOF sensor and a tunable annular light source; and matching a multi-brand knowledge base based on the product identifier or the appearance feature, and calling a feature template and a defect judgment standard of a corresponding brand. According to the visual detection method and system capable of self-adapting to the multiple brands, through the transfer learning framework and the multi-brand knowledge base, new brand products can be automatically identified, the pre-training model can be loaded, high initial detection accuracy can be achieved without extra annotation data, and by combining the self-supervised generative adversarial network and the federal learning mechanism, the detection accuracy is improved. And when the defect sample size is small, the relatively high defect detection rate can still be realized, and the false alarm rate is relatively low.

One or more computing devices, systems, and / or methods for generating and providing recommendations of products are provided. For example, content is extracted from a message sent to a user. The content is evaluated to identify a product identifier corresponding to a product title of a product. If the product identifier is a truncated version of the product title, then a database of product titles and frequencies of occurrence of the product titles is used to complete the product title. A model is used to infer a product category for the product title. Matching scores are assigned to products within a product category based upon weighted attributes. A recommendation is provided to the user for a product having a matching score greater than a matching threshold.

Features from a style image are adapted to express a machine-readable code. For example, grains of rice depicted in a style image may be positioned to create a pattern mimicking that of a machine-readable code. The resulting output image can then be used as a graphical component in product packaging (e.g., as a background, border, or pattern fill), while also serving to convey a product identifier to a compliant reader device (e.g., a retail point-of-sale terminal). In some embodiments, a neural network is trained to apply a particular style image to machine readable codes. A great variety of other features and arrangements are also detailed.

The invention provides a product traceability method and system based on a space-time code, a terminal and a storage medium, and belongs to the technical field of product traceability, and the method comprises the steps: generating a commodity code of a raw material; for each subsequent product processing link, all the commodity codes of the previous upstream link are scanned and analyzed, production subject identification information associated with each commodity code is acquired, and the validity of the production subject identification information is verified; when the production subject identification information is valid, analyzing a space-time code from each commodity code of a previous upstream link as a parent space-time code of a product of a current link; generating a commodity code of the current link product in combination with the space-time code of the current link product and the product identification information; and obtaining a traceability result. According to the invention, the product is identified by using the corresponding space-time code and the product identifier in each production link, and when the commodity code of the final product is scanned, the traceability can be carried out without manual intervention, so that the product traceability efficiency is effectively improved.

A method for preventing fraud is provided that includes receiving metadata from a manufacturer for an incentive associated with a product, the metadata including a product identifier and a redemption rule. The method includes requesting a host to create a record in a ledger for the incentive using the metadata, providing the incentive to a consumer via a mobile device, assigning a public address to the incentive, receiving from the host a first private key associated with the public address in the record, providing the first private key to the consumer, and receiving a second private key indicative of a redemption of the incentive at a retailer. The method includes validating redemption of the incentive and recording the redemption of the incentive at a retailer in the ledger record when the redemption of the incentive is validated. A system to perform the above method is also provided.

The invention relates to the field of product identifier identification, and discloses a product identifier attachment identification system and equipment, the equipment comprises an information flow control module, a pre-labeling station, labeling equipment, an identifier printing defect abnormity processing module and an equipment hardware fault detection module; meanwhile, the system is applied to the equipment and comprises a product information acquisition module, a labeling instruction issuing module, a labeling execution module and a detection module; in the working process, after products flow into a pre-labeling station, after detection and information collection, an upper computer is linked with an MES to obtain printing information, a printing system is controlled to print labels, after pre-detection is qualified, the labels are attached through a mechanical arm, then secondary detection is conducted through multiple sets of detection modules, and a repairing mechanism is started when the products are abnormal; according to the invention, full-process automation can be realized, the production efficiency is improved, the detection reliability is enhanced, flexible production requirements can be met, and the technical problems of low efficiency and poor detection quality of a traditional process and insufficient adaptability of existing equipment are solved.

A computer-implemented method including scanning a radio tag incorporated into packaging of a firework product to retrieve a tag data record, the tag data record comprising a source identifier, a firework product identifier, and a universal resource identifier (URI); and at least one of: adding a product data record to a product database, the product data record comprising at least the firework product identifier, and requesting from the URI content related to the firework product.

In some embodiments, apparatuses and methods are provided herein useful to processing captured images. In some embodiments, there is provided a system for processing captured images of objects at a product storage facility including a trained machine learning model; and a control circuit. The control circuit may group a plurality of product identifiers into one or more clusters based on at least one of visual similarity of corresponding images, textual similarity of corresponding associated descriptions, and associated relationships between product identifiers of the plurality of product identifiers; determine clusters having common elements that are at least within a similarity threshold of each other; merge the clusters with the common elements; and generate a mapping dataset used to retrain the trained machine learning model to identify a plurality of objects. The mapping dataset may include a plurality of associations of associated product identifiers to a single object.

A computer-implemented method for identifying a product citation in a document, the method comprising searching, in the document, for an entity identifier corresponding to an entity and, if an instance of the entity identifier is detected in the document, determining a portion of the document around the instance of the entity identifier as a target text, wherein the entity is associated with a product catalogue, the product catalogue comprising a plurality of product identifiers; applying a first regular expression to the target text, wherein the first regular expression is configured to match one or more of the plurality of product identifiers; and if a product identifier from the plurality of product identifiers is determined to be cited in the target text, adding an entry to a citation database linking the document and the product identifier.

Disclosed embodiments may include a method that includes scanning a machine-readable element, by a second user device, generated by a first user device and embedded with a tracking identifier and a product identifier and recognizing the link embedded in the machine-readable element. Responsive to recognizing the link, the method may include transmitting, by the second user device, a verification request to acquire the product to a server, wherein the verification request comprises the tracking identifier and product identifier. Responsive to receiving in-person status credentials at the second user device, the method may include rendering a description of the product on a display of the second user device, receiving a second user input confirming intent to acquire the product, and transmitting, to a server, instructions to acquire the product in response to receiving the first user input.

A system for managing healthcare supply chain product and organization information for an organization is provided. The system may include a processor and a memory in communication with the processor. The memory includes a user interface module to receive a product identifier (ID), and an integration module to generate a new product item when the integration module determines that the product ID is not associated with an existing product item, or integrate the product ID with the existing product item when the existing product item does not include the product ID. The memory includes an organization module that receives an organization identifier (ID) and matches the organization ID and organization account to an organization master. The memory includes a PIM module that receives the product item associated with the product ID from the integration module. The PIM module matches the product ID and product item to a system PIM.

The embodiment of the invention provides a method for generating an express number and a related device, which are used for generating a plurality of express numbers for an order under the condition that the order contains a plurality of express numbers. The method comprises the steps that order data in a database are acquired, and the order data at least comprise first order data of a plurality of parcels in a single order; verifying a data format and / or a data structure of each order in the first order data; if the verification is passed, obtaining a commodity identifier and a commodity number in each parcel contained in each order in the first order data; and if the commodity number of the commodity identifier of each package is not greater than the commodity inventory number of the commodity identifier in the inventory information, generating an express number with the same number as the number of the plurality of packages according to the number of the plurality of packages in each order.

Disclosed are computer-implemented methods, systems and apparatuses for operating a product recycling process for recycling of materials contained in products associated with at least one product identifier.

A method and system for generating an article about a product. The method includes: receiving a request from a user; when the request includes a product identifier, retrieving product features from a feature database; when the request includes a keyword, retrieving the product features by comparing the similarity between the keyword and the features or synonyms of the features; generating candidate sentences corresponding to the features; selecting sentences from the candidate sentences, and modifying and rearranging the sentences to generate an article.

This invention provides an e-commerce dynamic data processing method and system based on intelligent agents, relating to the field of data processing technology. It identifies the real-time status of each sub-product within a combined product based on image data, calculates a shopping guide decision value for the combined product based on the real-time status and a preset lifecycle of the corresponding product identifier, and stores the shopping guide decision value in association with the product identifier. It also receives user input including demand information for a target usage period, filters and outputs recommendation information from multiple combined products based on the demand information and the shopping guide decision value. This invention achieves dynamic tracking of the status of sub-products within a combined product and continuous updating of the shopping guide decision value.

The application discloses a data recommendation method and device, electronic equipment and a computer readable medium, relates to the technical field of big data analysis, and the method comprises the following steps: receiving a data recommendation request, obtaining a corresponding user identifier, obtaining a corresponding product identifier and user behavior data according to the user identifier; determining a corresponding keyword based on the product identifier, determining a corresponding first keyword feature weight matrix according to the keyword; determining a time window stage corresponding to the keyword according to the user behavior data, determining a corresponding second keyword feature weight matrix of each according to the time window stage and the first keyword feature weight matrix; determining a candidate keyword according to the first keyword feature weight matrix and the second keyword feature weight matrix of each; obtaining the weight corresponding to each candidate keyword, and then determining target recommended product data according to the candidate keyword and the weight and outputting. The safety of user financial management can be improved when recommending financial product data for the user.

The invention relates to the technical field of automatic production, and provides a product machining system and method.The product machining system comprises a position detection device, at least one product machining device and conveying devices in one-to-one correspondence with the product machining devices; the position detection device is used for acquiring a product identifier of a target product located on a first station and a position deviation of an actual coordinate position of the target product relative to a reference coordinate position, and uploading the product identifier and the position deviation to the server for binding storage; the transportation device is used for transporting the target product to a second station of the corresponding product processing device; and the product processing device is used for acquiring the product identifier of the target product located on the corresponding second station, acquiring the bound position deviation from the server according to the product identifier, performing position compensation according to the position deviation, and then processing the target product. And the cost of a product processing system can be reduced.

The application relates to a product pushing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining user information of a plurality of user identifiers and product information of a plurality of product identifiers; constructing a heterogeneous graph comprising a user node, a product sub-node and a product node based on the user information and the product information; performing feature extraction on the heterogeneous graph to obtain a user target feature vector corresponding to the user node and a product target feature vector corresponding to the product node; calculating the similarity between the user target feature vector and the product target feature vector, determining a to-be-pushed product identifier corresponding to each user identifier in the plurality of user identifiers based on the similarity, and pushing the to-be-pushed product identifier to the corresponding user identifier. The method can improve the accuracy of product pushing.

The invention relates to the technical field of image recognition, and discloses a commodity picture intelligent classification method and system based on image recognition, and the method comprises the steps: calculating the position coordinates of a brand identifier in a cross-category right commodity picture, and extracting text features from the cross-category right commodity picture; extracting visual features from the brand identification position coordinates, and performing weighted fusion on the visual features and the text features to obtain fusion features; recalling candidate commodities from an inverted list according to the fusion features, and creating first classification labels of the candidate commodities; and performing consistency verification and correction on the first classification label, generating a second classification label, querying a commodity identifier in a member SKU table according to the second classification label, and updating a picture management module and a foreground classification table. And the operation efficiency of the right platform is improved.

The embodiment of the invention provides a product recommendation method and device, electronic equipment and a storage medium. The method comprises the steps that an initial product set is constructed according to historical behavior data of a target object, the initial product set comprises a plurality of initial product identifiers, and one initial product identifier corresponds to one current product; performing iterative updating on the initial product set based on a differential evolution algorithm to generate a target product set; wherein in the iterative updating process, at least part of the initial product identifiers in the initial product set are replaced with target product identifiers, and the evaluation score, corresponding to the target product identifiers, of the target product is larger than the evaluation score, corresponding to the current product, of the replaced initial product identifiers; determining a target recommended product list according to the target product set; and displaying the target recommended product list. The accuracy and processing efficiency of product recommendation can be improved.

The application relates to a front-end driving back-end service method, device, computer equipment and storage medium. The method comprises the following steps: receiving a request sent by a front-end page, the request carrying a product identifier and a template identifier; analyzing the request to obtain the product identifier and the template identifier; obtaining a target template determined according to the product identifier and the template identifier, the target template comprising a template parameter defined by a front-end language; determining target data through the template parameter; and sending the target data to the front-end page. If the target template is detected during the execution of the back-end service process, the logic in the target template is executed, after the execution of the logic in the target template, the logic of the back-end is continuously executed, and data is returned to the front-end through the back-end logic. The target template is written by using a front-end programming language, front-end personnel can customize corresponding templates according to business requirements, thereby reducing the communication cost caused by the inconsistency of front-end and back-end data and accelerating the development efficiency.

The invention relates to the technical field of product testing, and discloses a test parameter determination method and a test system. The determination method comprises the following steps: acquiring a product identifier of a current to-be-tested product; in response to the existence of the product identifier, obtaining change / iteration information corresponding to the current to-be-tested product and a test item corresponding to the change / iteration information; acquiring default test parameters and historical test results corresponding to the test items; adjusting default test parameters according to the historical test result to obtain current test parameters; the current test parameter is used for testing the current to-be-tested product, and the current to-be-tested product only needs to be tested according to the test item. Through the above mode, the accuracy of the test scheme is improved, the test efficiency is improved on the basis of ensuring the performance of the product, and the iteration period of the whole product is shortened.

A method includes: locating a first slot boundary around a first product unit, in an image of an inventory structure in a store, identifies as a first product type based on features detected in the image; extracting a first product identifier, from a first slot tag, detected in the image; based on correspondence between the first product identifier and product type, associating the first slot boundary with the first slot tag and extracting a first relative tag-boundary position of the first slot boundary and slot tag from the image; extracting a second product identifier from a second slot tag detected in the image; predicting a second slot boundary, assigned to a second product type corresponding to the second product identifier, in the image based on a second position of the second tag in the image and the first relative tag-boundary position.

The invention discloses a configuration parameter verification and repair method, device and equipment and a storage medium, and the method comprises the steps: obtaining a product identifier of a to-be-verified product and a plurality of actual configuration parameters, and determining an actual configuration parameter verification code of the to-be-verified product; under the condition that the actual configuration parameter check codes are inconsistent with the standard configuration parameter check codes, parameter grouping is conducted on the multiple actual product configuration parameters based on the preset group length, and the standard configuration parameters corresponding to the actual configuration parameters are determined; determining a to-be-repaired configuration parameter group in the plurality of actual configuration parameter groups according to the standard configuration parameter and the standard configuration parameter check code, and performing parameter repair on each to-be-repaired configuration parameter according to the effective parameter until a parameter repair result is matched with the standard configuration parameter check code, the accuracy of configuration parameter verification and the success rate of parameter repair can be improved.

The embodiment of the invention discloses a method and device for providing commodity evaluation information and electronic equipment, and the method comprises the steps: providing an operation option for generating a user evaluation card for an associated commodity of a consultation service in an interface for providing the consultation service; in response to an operation request submitted by a customer service provider through the operation option, generating first prompt information according to the commodity identifier of the associated commodity, and calling an artificial intelligence (AI) generative model according to the first prompt information, the AI generative model generates target information according to the multiple pieces of user evaluation detail content of the associated commodity; and generating a user evaluation card according to the target information and a preset format template so as to send the user evaluation card of the associated commodity to the user side of the current consultant for display in a mode of sending a dialogue message in the process of providing the consultation service. Through the embodiment of the invention, the information acquisition efficiency of the user can be improved.

The present invention discloses a product recommendation method, device, non-volatile storage medium and electronic device. The method includes: obtaining keywords for browsing products corresponding to a target account, and the categories to which the browsed products belong; inputting the keywords and the categories to which the browsed products belong into a target large language model, and the target large language model outputting a first product set and a second product set, wherein the first product set includes product identifiers that match the keywords, and the second product set includes product identifiers within the categories that match the categories to which they belong, wherein the target large language model is obtained by fine-tuning a pre-trained large language model using a first training sample; obtaining a union of the first product set and the second product set to obtain a third product set; sorting the product identifiers included in the third product set, and selecting multiple products recommended to the target account in order. The present invention solves the technical problem in the prior art that products cannot be accurately and efficiently recommended to users.

A method and system for cross-network transactions includes a processor for storing a blockchain having a non-fungible token (NFT) associated with a physical asset, the NFT having metadata including at least a product identifier and product details. The processor may store one or more user account profiles each including a user identifier and a blockchain wallet address. The processor may receive a product verification request message including a machine-readable code from a first user computing device, execute a query on the blockchain to identify an NFT including a product identifier matching the machine-readable code and in response to identifying an NFT including a product identifier matching the machine-readable code, determine the product associated with the machine-readable code is verified. The processor may generate a verification result indicating that the product associated with the machine-readable code is verified code and transmit the verification result to the first user computing device.

A method for automatically generating a product video including receiving a product and a product identifier corresponding to the product, collecting physical product data of the product, receiving digital product data associated with the product identifier from at least one digital source, combining the physical product data and the digital product data into a combined product data structure, generating a production plan for the product video based on the combined product data structure, and automatically operating at least one equipment item to record the product video based on the production plan.