397 results about "Product identification" patented technology

A computing device for generating on-demand products based upon real-time geolocation data is configured to receive and store at least one product definition associated with a respective product. Each product definition defines an availability of the product and includes a product availability location. The computing device is also configured to receive real-time location data from a user computing device, and periodically query a memory device with the real-time location data. The computing device detects that the user computing device has entered a first location by retrieving, in response to a successful query of the memory device, a first product definition associated with a first product having a product availability location including the first location. The computing device is also configured to generate a product identification message including at least a portion of the first product definition, and transmit the product identification message to the user computing device.

The invention provides a manufacturing abnormality diagnosis method and system based on a production data stream, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting an initial multi-source heterogeneous data stream of a production site, and implanting virtual data anchor points corresponding to key production equipment, process nodes and quality monitoring links in the initial multi-source heterogeneous data stream; performing spatial point set construction and tetrahedron inclusion detection based on the virtual data anchor points to perform data relevance quantitative evaluation and pruning on the initial multi-source heterogeneous data stream to generate an optimized multi-source heterogeneous data stream; and based on a pre-established unified semantic metadata dictionary, performing semantic analysis and normalization processing on the optimized multi-source heterogeneous data stream, and generating a standardized production event stream with unified semantics and time sequence and product identification. According to the invention, accurate diagnosis and root cause positioning of manufacturing abnormality can be realized.

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.

The invention discloses a system burning method of embedded equipment and electronic equipment, in a recovery mode, to-be-burnt equipment can receive an external instruction to carry out firmware updating, target specification types of multiple to-be-burnt equipment are determined according to a product identification code, and the to-be-burnt equipment is stored in the product identification code. And obtaining the flash script, the root file system and a differentiated configuration file corresponding to the target specification type. As the multiple to-be-burnt devices in the current batch have the same hardware specification, the target specification types of the multiple to-be-burnt devices are determined through the read product identification codes, so that the differentiated configuration files corresponding to the target specification types are obtained. Since the flash script and the root file system both support devices of various specifications and types, embedded devices of different specifications and types can be processed, and only specific differentiated configuration files need to be provided for the embedded devices of different specifications, so that the number of repeated mirror images is greatly reduced, and the resource reuse rate between embedded device modules is improved.

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.

The invention discloses a digital authentication method and system based on industrial production data, and the method comprises the steps: obtaining original industrial production data, generating a unique fingerprint of equipment, binding the unique fingerprint with the original data, and generating an equipment-data binding hash value through employing a national cipher SM3 algorithm; the alliance block chain node dynamically selects a consensus protocol according to the timeliness of the original industrial production data, constructs a Merkle tree structure and stores a root hash value; verifying whether the device-data binding hash value is included by the Merkle tree corresponding to the specific root hash value through a zero-knowledge proof protocol; in the authentication stage, the verified hash value and index information are called, and encryption quality parameters stored under the chain are positioned and decrypted; and generating a three-dimensional credible identifier and a dynamic authentication description text based on the original quality parameter, the hash value, the product identifier information and the block chain transaction information, and performing signature verification through a quantum security electronic signature. According to the invention, the security and reliability of industrial data authentication are improved, and data tampering and counterfeiting are effectively prevented.

The invention relates to the field of product authentication and traceability, and discloses a block chain-based product authentication and traceability method and system, and the method comprises the steps: obtaining the authentication information of a product, carrying out the encryption processing of data through a Hash algorithm, and uploading the processed authentication information to a block chain system; based on the product identification code, calling an intelligent contract deployed in a block chain network, and performing automatic verification on the traceability information uploaded by each participation node in the product circulation link; collecting traceability information corresponding to the product identification code, and uploading the traceability information to a block chain system in sequence; based on the tracing information, dividing information bound with the product identification code into common information and sensitive information, performing encryption processing on the sensitive information according to an authority strategy, and generating a hierarchical access data representation structure; and based on the encrypted data representation structure, generating a visual traceability path diagram of the product in combination with each time node and the product circulation path. The method has the advantage of improving the traceability of the authentication information.

The invention discloses a category price-based hot competitive product mining method for AI intelligent marketing, and relates to the technical field of marketing, and the method comprises the following steps: building a unified time base line, extracting a continuous sales volume curve of commodities under a target category, calculating the instantaneous slope of sales volume change in the sales volume curve, and calculating the instantaneous slope of the sales volume change; based on the sudden change interval of the instantaneous slope, determining a candidate region of short-period sales volume increase; and constructing a causal factor set in the candidate region, and mapping the channel expansion track and the promotion track to a sales volume curve point by point. According to the method, through the joint constraint of the causal residual and the user behavior density tensor, the sales volume anomaly weight index is generated and written back to the competitive product portrait, false sales volume signals are effectively filtered, and the accuracy of competitive product identification and marketing decision is improved. And meanwhile, short-time Fourier transform is introduced to decompose a sales volume curve, high-frequency abnormity is dynamically weakened by using a spectral domain attenuation coefficient, and a hot sell weight is ensured to truly reflect a long-term and periodic trend, so that the reliability and the analysis precision of a competitive product portrait are enhanced.

The utility model discloses a key hand feeling detection machine, and belongs to the technical field of detection equipment, and the key hand feeling detection machine comprises a rack, a feeding device, a scanning mechanism, a sliding table mechanism, a detection mechanism and a discharging device. The rack is provided with a bottom plate; the feeding device comprises a feeding mechanism and a feeding carrying mechanism, and the feeding carrying mechanism is located above the feeding mechanism and used for carrying products at the tail end of the feeding mechanism. The scanning mechanism is located above the tail end of the feeding mechanism and used for scanning product marks. The sliding table mechanism comprises a sliding table assembly and a clamp assembly, the sliding table assembly is located below the feeding carrying mechanism, and the clamp assembly is connected with the driving end of the sliding table assembly. The discharging device comprises a discharging carrying mechanism and a discharging mechanism, and the discharging carrying mechanism is located above the sliding table assembly and used for carrying products at the tail end of the sliding table assembly. According to the automatic key detection device, automatic detection of product keys is achieved, and the quality of the detection result, the detection efficiency and the product delivery yield are improved.

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.

This disclosure relates generally to a method and system for identifying alternative products from competitor products having closer similarity to a retailer product. State-of-the-art methods for alternative product identification based on collaborative filtering often yield inappropriate matches as they do not consider context relevance. Moreover, due to the large size of dataset, such methods require more computation time. While making a comparison of retailer product with the competitor product, a context aware comparison as well as achieving sizable dataset is not yet achieved. The present disclosure addresses these problems through a method of processing metadata of the retailer product and the competitor products to derive feature importance score. The processing results in a filtered data set comprising unique retailer-competitor product pairs. The filtered data is then processed by a machine learning algorithm to identify alternative products based on closest similarity with the retailer product and accordingly ranked.

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.

The invention relates to the technical field of surface optical defect detection, in particular to a tin ball unqualified product identification and rejection system based on online monitoring, which constructs a structure expression map based on linkage analysis of a contour change area, an edge response intensity matrix and a direction gradient mapping matrix and in combination with position difference and brightness fall between connection points. High-sensitivity capture of local details on the surface of the solder ball is realized, and the recognition precision and boundary judgment capability of irregular pit and spot areas are remarkably improved by calculating coordinate offset and boundary length change between connection points and combining a graph neural network. Through a multi-factor association adjustment mode of determining confidence, label disturbance frequency and historical deviation records, adaptive convergence of identification classification parameters and progressive optimization of an output matrix structure are realized, the identification precision of a flaw area is improved, and the real-time performance and stability of subsequent action response are optimized.

The invention provides a product identification method based on space-time bearing capacity, and relates to the technical field of product production information identification, and the method comprises the steps: generating a target product space-time code of a current product at the initial stage of product production; distributing a target commodity code for the current product, and binding the target commodity code with the target product space-time code; in the product circulation stage, whether the current product with the target commodity code embedded in the product package serves as an external product needed in the next product production process or not is judged; and if not, identifying a target commodity code embedded in the product package through the user terminal equipment in a product consumption stage to obtain a target product space-time code, and extracting space-time occupation unit information of each production link of the current product recorded in the target product space-time code. By generating the target product space-time code based on the target product production process space-time occupation information and binding the target product space-time code with the target product code, the unique identification of space-time occupation in the product production process is realized, and a basis is provided for space-time bearing capacity evaluation of the production place of the product.

The invention provides a product identification tracking management method and system based on a two-dimensional code, and a storage medium. The method comprises the following steps: generating a two-dimensional code based on product information of a to-be-processed product; conveying the carrier to a processing device for product processing according to the production process node, and updating the initial information of the two-dimensional code based on a first processing result of the production process node and a second processing result of the processing device to obtain first target information; updating the first target information based on a first processing user preset by the production process node and a second processing user operating the processing equipment to process the product to obtain second target information; after processing is completed, generating a product tracking management tree of the carrier based on the second target information, encrypting the product tracking management tree, and uploading the encrypted product tracking management tree to the block chain platform; and if the to-be-processed product is abnormal, scanning the two-dimensional code based on a two-dimensional code device, and tracking a corresponding processing user based on a two-dimensional code product tracking management tree. According to the invention, the responsibility tracing efficiency and accuracy are improved.

Embodiments described herein relate to vending systems that allow a customer to directly remove and handle products before purchasing. Systems described herein can include cameras that can capture images of products stored in, removed from, or returned to the vending system. Based on these images, the system can both determine the identity of the product and the temperature of the product. This can help with inventory tracking, quality control, and preventing unauthorized activity related to the vending system.

The invention discloses a commodity identification and settlement method and system based on multi-modal feature fusion, and the method comprises the steps: obtaining a customer ID, and building a customer-sensor mapping table; multi-modal data acquisition is carried out through a visual sensor, a weight sensor, a UWB base station and a radio frequency sensor, and the acquired data is extracted and processed; constructing a commodity feature vector, calculating a commodity existence probability P (A | F) by adopting a weighted Bayesian network, and dynamically adjusting a modal weight: judging the size of P (A | F), and when P (A | F) is greater than or equal to 0.9, judging that a customer takes the commodity by a system, and adding the commodity into a shopping cart; and a client reads the commodity label through an exit channel type RFID reader-writer and compares an identification result with a result obtained in the above step, if the identification result is consistent with the result obtained in the above step, money is automatically deducted, and if the identification result is not consistent with the result obtained in the above step, a manual channel rechecking is triggered. According to the method, the recognition accuracy is effectively improved, the system robustness is enhanced, the settlement process is simplified, and the user experience is improved.

The application discloses a kind of continuous production line product automatic tray placing control system and method, tray placing demonstration, preset standard posture threshold and product identification area, after obtaining current product real-time posture image, whether the real-time posture of current product meets the requirement of tray placing according to standard posture threshold comparison judgment, again, the product that meets the requirement of tray placing is grabbed, and is rotated to the angle that meets the requirement of tray placing, finally, according to planned path, it is placed in turn to tray;Solve the problems of poor metal part posture recognition, insufficient versatility and low efficiency in the prior art, can meet the requirements of automatic, high precision and high adaptability tray placing operation of precision parts after continuous production line punching, shearing and bending forming.

This content management system comprises: an acquisition unit (503B) that acquires product identification information of a product to be purchased, and information indicating whether or not additional work is to be performed on the product based on a request from the purchaser of the product; a work time storage unit that stores the product identification information in association with the additional work time required for the additional work; an estimation unit (506B) that estimates a total work time on the basis of the bagging time for bagging the product to be purchased and the additional work time required for the additional work to be performed on the product to be purchased that requires additional work; a storage unit (502B) that stores content and the playback time of the content; an extraction unit (507B) that extracts content corresponding to the total work time from the storage unit; and a content provision unit (508B) that displays, on a display device visible to a customer, the extracted content.

The application discloses a product barcode correction method and system combined with time sequence analysis, and belongs to the technical field of automatic identification. The method comprises the following steps: configuring a scanner at station 0 to scan a product barcode; using a health score network to perform health scoring on a real-time scanning image, establishing a product barcode score value, and obtaining a time sequence position of a corresponding product; performing score value discrimination on the product barcode score value; if the score value discrimination result is a result lower than a preset score threshold, the corresponding product is identified as a weak barcode, and a station skipping correction instruction is triggered; station complement code adaptive identification is performed according to the station skipping correction instruction; a complement code station is selected based on an adaptive optimization result, product information calling based on the time sequence position is performed by using the complement code station, and complement code processing is performed on the corresponding product according to a product information calling result. The application solves the technical problems of unstable product barcode identification quality, inability to dynamically adjust a correction strategy, high barcode error rate and low correction efficiency in the prior art.

The utility model discloses an electronic cigarette single box which comprises a main plate, a bottom plate is fixedly connected to the middle of one side of the main plate, first folded plates are fixedly connected to the two ends of the bottom plate, and first adhesive positions are arranged on the surfaces of the first folded plates; a long plate is fixedly connected to one side of the bottom plate, second folded plates are fixedly connected to the two sides of the long plate, and second adhesive positions are arranged on the surfaces of the second folded plates. According to the electronic cigarette single box, when the main plate is folded, the main plate is divided into the front face plate and the side plates on the two sides according to the rhombic pressing lines on the surface of the main plate, and then the first folded plate and the second folded plate are folded according to the pressing lines on the edges of the bottom plate and the long plate; the adhesive positions on the folding surfaces of the first folding plate and the second folding plate facilitate pasting and fixing of the side plates on the two sides of the main plate, folding forming is carried out according to the structure in the attached drawing, brush printing content can be expanded conveniently, the effect of one-time forming can be achieved easily, structural innovation is improved, the formed structure is unique, and the product identification degree is high.

The present disclosure provides a verification device, comprising a scanning device and a display device, the scanning device and the display device having a binding relationship in a server; the scanning device is used for obtaining a product identification code and uploading the product identification code to the server, so that the server obtains a verification result of a target product associated with the product identification code; the display device is used for receiving and displaying the verification result returned by the server; the scanning device comprises a first adsorption component, the display device comprises a second adsorption component used in cooperation with the first adsorption component, and the scanning device and the display device are connected by the first adsorption component and the second adsorption component.

The application discloses a novel anti-fake traceability system and method, relates to the technical field of anti-fake traceability, and comprises a data acquisition unit, an abnormality tracing unit and a determination output unit. The data acquisition unit is used for acquiring a product identification code, acquiring business data of a current link through preset data acquisition points of each circulation link, updating and generating a dynamic product unique identification code, determining real-time information data of the product based on a scanning code reading result of the dynamic product unique identification code, synchronously writing the business data of the current link, comparing the real-time information data of the product according to preset scanning code standard data, determining a circulation state of the product, and correspondingly generating abnormal early warning information in the abnormal circulation state of the product. The application can ensure the reliability and timeliness of a tracing result, and also improves the accuracy of abnormal determination of goods diversion.

To provide a self-checkout system and a program that prevent customers from leaving a store with unpaid articles with a reduced computational load.SOLUTION: A self-checkout system includes an article registration device where customers register articles by themselves, a settlement device where the customers settle for registered articles by themselves, and an exit gate that allows the customers to leave the settlement area. The article registration device generates article registration information containing article identification information and extracts characteristics of the customers during registration, and storing both in association with each other. The settlement device extracts the characteristics of the customers performing settlement. When the extracted characteristics of the customers match those stored by the article registration device, the settlement device performs settlement for the registered article information and stores the extracted characteristics of the customers associated with the settled information. The exit gate extracts the characteristics of the customers before passage. When the extracted characteristics of the customers match those stored by the settlement device, the exit gate allows the customers to exit.SELECTED DRAWING: Figure 10

A product identification system, the system comprising: a photographing device including a placement portion and a camera, the placement portion being used to place a product to be identified and having multiple placement areas, the camera being used to photograph the placement portion to obtain a first image; a client being used to preprocess the first image and receive an identification result, wherein the preprocessing includes: determining the product category of the product to be identified based on the placement area where the product to be identified is located, recorded as a target category; a server being used to select a target feature extraction model associated with the target category from multiple first feature extraction models, input at least a portion of the first image into the target feature extraction model to obtain first feature information, determine an identification result based on the first feature information, and send the identification result to the client. The solution provided by the present invention can improve the accuracy of product identification.

The invention discloses a marking information detection method, device and system, a storage medium and electronic equipment. The method comprises the steps that a marking content preview image and product identification information are collected; reading a corresponding production file based on the marking content preview image and the product identification information; comparing the read production file with the marking content preview image, and outputting a comparison result; wherein the read production file is compared with the marking content preview image, and the step of comparing the read production file with the marking content preview image comprises at least one of the following comparison: marking energy, marking content and marking position. The marking content preview image is monitored and prompted in an automatic mode, the situation of wrong marking is reduced, the marking content preview image can be modified subsequently according to the comparison result, the marking accuracy is improved, and therefore the production efficiency of products is improved.

1. The name of the present design product: sticker. 2. The use of the present design product: for product identification. 3. The design points of the present design product: in the combination of patterns and colors. 4. The picture or photo that best shows the design points: front view. 5. The design claimed contains colors. 6. The present design product is a thin product, omitting the left view; the present design product is a thin product, omitting the right view; the present design product is a thin product, omitting the top view; the present design product is a thin product, omitting the bottom view.

This invention relates to an innovative system for authenticating and tracing physical products using non-fungible tokens (NFTs) supported by blockchain technology. The system associates a unique NFT with each product, thus facilitating reliable verification of the product's authenticity and ownership history. This is particularly advantageous for secondary market transactions. The solution is designed for deployment across various industrial sectors, offering secure protection against counterfeiting while increasing consumer confidence.

The application discloses a kind of cloud desktop it equipment management systems, specifically including the following steps: step 1: running cloud desktop on terminal, terminal access external device is used in cloud desktop;Step 2: by viewing USB equipment to query the product identification code corresponding to external device, then it will be queried to cloud desktop;Step 3: set on client so that external device and the network card address of cloud desktop produce mapping relationship, and report to server side.Step 4: when the association of external device and cloud desktop is completed, the external device can be used in the cloud desktop;Step 5: the client of cloud desktop removes the mapping association of the device identification code of external device and the network card address of cloud desktop.Can set the mapping relationship of the pid of external device and desktop mac address, after this association is established, another cloud desktop is used in a cloud desktop external device that has bound association relationship, will be prohibited to use, subsequent cloud desktop user is easy to find device.