5001results about "Sensing by electromagnetic radiation" patented technology

The invention relates to the technical field of computers, and discloses a chip mounter material tracing management method and system based on a knowledge graph. The method comprises the following steps: constructing a dynamic knowledge graph covering the whole process of a patch; injecting multi-source data in real time to drive dynamic updating of the atlas; when the materials are abnormal, reverse tracing and forward influence double-path reasoning are started; isolation, rework and reset instructions are automatically generated and pushed to a manufacturing execution system; and synchronously updating the atlas state to form an auditable record. The system comprises a dynamic knowledge graph construction module, a real-time data injection module, a bidirectional inference engine module, an automatic processing instruction generation module and a graph state synchronization module. According to the scheme, millisecond-level error positioning and closed-loop processing are realized, and the tracing efficiency and the quality guarantee capability are improved.

The invention relates to the technical field of RFID tag signal optimization, and discloses an RFID tag signal optimization method and system based on deep learning. According to the method, feature extraction is carried out on a backscattering signal, core features of a multipath channel are quantized from a frequency domain and a time domain respectively, numerical representation of a channel state is further obtained, then obtained data information is used as input of a deep learning network, training and forward calculation are carried out, original emission parameters are adjusted, and a multi-path channel is obtained. Therefore, the conversion from blind extensive control to precise control of the transmitting end is realized, so that the problem of mismatching of parameter control and channel state caused by information splitting of the transmitting end and the receiving end in the prior art is solved; according to the signal optimization method for realizing joint adjustment of transmitting and receiving parameters through an end-to-end deep learning architecture, the optimization effect of an RFID tag signal in a complex environment is remarkably improved.

The invention discloses an agricultural whole industrial chain tracing method and system based on big data, and relates to the technical field of agricultural traceability, and the method comprises the steps: building a static knowledge graph in a graph database based on a whole chain data set, setting and initializing nodes, edges and initial weights, predicting the environment change through an LSTM model, and obtaining the traceability of the agricultural whole industrial chain. Dynamically adjusting node and edge weights by using reinforcement learning, generating a dynamically updated knowledge graph, constructing a multi-factor risk conduction matrix according to the dynamically updated knowledge graph, defining an initial risk propagation path, integrating a full-chain data set by using a Bayesian network model, and calculating a conditional probability of the initial risk propagation path, generating an optimized risk propagation path, and predicting a risk probability by using a random forest model through the optimized risk propagation path; according to the method, the Bayesian network model and the random forest model are comprehensively utilized to realize probabilistic reasoning and risk prediction of the multi-source data, and the accuracy and decision support capability of risk management are remarkably improved.

The invention discloses a traditional Chinese medicine quality tracing and identifying method based on a block chain two-dimensional code, and particularly relates to the technical field of quality tracing and identifying. The method comprises the following steps: extracting effective component contents, trace element contents and biological activity indexes of traditional Chinese medicinal materials, constructing a recessive feature data set reflecting the real quality state of the traditional Chinese medicinal materials, and further generating unique corresponding medicinal material quality block chain tracing identification information by adopting feature dimension reduction, Hash mapping and block chain binding means; in combination with an under-chain recessive feature database and an intelligent contract technology, accurate mapping and two-way verification of the traditional Chinese medicine recessive features and the block chain two-dimensional code are realized, and the authenticity of traditional Chinese medicine quality tracing and the accuracy of an identification result are improved.

The invention provides a bar code enhanced image processing method and system based on a generative adversarial network. The method comprises the following steps: acquiring a training set and an initial model; the training set comprises a plurality of training data, and each training data comprises a sample matrix barcode image and corresponding annotation data; the initial model is an adversarial network constructed and generated by a generator model and a discriminator model; performing model training by using the training set according to the initial model and the target loss function to obtain a bar code enhancement model; the target loss function comprises a generator loss function adopting a weighted composite loss technology and a discriminator loss function adopting a binary cross entropy loss technology; and acquiring a data matrix bar code image in a real environment by using an industrial camera, and inputting the data matrix bar code image into the bar code enhancement model to obtain a standard binary bar code. According to the invention, the adversarial training architecture composed of the generator and the discriminator is constructed, so that the bar code decoding success rate is improved.

The invention discloses a data reading method and system based on an RFID reader-writer, particularly relates to the technical field of radio frequency identification data acquisition, and is used for solving the problem that the communication reliability of an existing RFID system is reduced due to carrier frequency deviation and multipath interference in a high-speed mobile environment. A phase change characteristic and an error rate index are obtained through double-antenna receiving signal analysis, when the error rate exceeds a limit, spatial correlation and error rate distribution difference are jointly analyzed to determine a multipath interference level, and meanwhile, a relative motion state is detected and judged through a phase track curvature characteristic. And dynamically selecting an optimal modulation coding mode to read data again according to the calculated motion speed estimated value and the interference level, thereby realizing the optimal balance between the communication rate and the reliability in the mobile environment.

The present application relates to the technical field of press ring assembly glue dispensing, and provides a press ring glue dispensing device, which comprises a tray, a lens barrel with a press ring to be glued is placed on the tray, the press ring is an inner press ring and / or an outer press ring; a position adjusting mechanism, the position adjusting mechanism comprises X-axis movement modules and Y-axis movement modules which are arranged perpendicularly to each other, the tray is installed on the Y-axis movement modules and can slide back and forth along the Y-axis movement modules, and the position adjusting mechanism is arranged on a platform; a glue dispensing mechanism, the glue dispensing mechanism can glue between the press ring and the lens barrel; a glue detection mechanism, the glue detection mechanism can detect the quality of glue between the press ring and the lens barrel after glue dispensing; and a glue solidification mechanism, the glue solidification mechanism can solidify the glue between the press ring and the lens barrel.The press ring glue dispensing device has the advantages of glue detection function, improved product quality and reliability, high production efficiency and low cost.

The invention relates to the technical field of electronic tag management, in particular to an electronic tag management system, which is used for splitting a single original electronic tag into a basic sub-tag and an attribute sub-tag according to a pre-stored data segmentation rule, and the basic sub-tag and the attribute sub-tag are respectively used for storing basic identification information and detailed attribute information of a target object. The server is also used for receiving the binding association codes among the sub-tags so as to divide all the sub-tags corresponding to the original electronic tags into a basic tag group, a maintenance tag group and a test tag group according to a sub-tag grouping rule, and determining whether signal collision occurs or not according to the intensity change rate and the bit error rate of feedback signals of the basic tag group; and the working modes of the multi-signal radio frequency unit and the time slice distribution unit are determined according to the judgment result of whether the signal collision occurs or not. According to the invention, the possibility of signal collision when the reader receives the feedback signal due to the fact that a large number of tags are concentrated in the same test area is reduced, thereby improving the recognition speed.

The invention discloses a multi-label concurrent reading method and system in an RFID manufacturing process, and the method comprises the steps: obtaining a target reading sequence, determining a distance parameter and a reading frequency corresponding to each RFID label, obtaining a target optimization reading sequence based on the distance parameter and the reading frequency, and obtaining a target optimization reading sequence based on the target optimization reading sequence; and concurrently reading target tag data corresponding to each RFID tag based on the target optimization reading sequence. Through the method, the reading sequence of the RFID tag in the target reading sequence is optimized based on the distance parameter and the reading frequency, so that the target optimized reading sequence is obtained, the accuracy of the target optimized reading sequence is ensured, the reading accuracy of the RFID tag is ensured, the RFID tag is read through the target optimized reading sequence, and the reading efficiency of the RFID tag is improved. The reading efficiency of the RFID tag is improved, and the reading efficiency of the high-priority tag is ensured.

The invention relates to the technical field of intelligent inventory management, and discloses an intelligent inventory management method and system for electronic components, and the method comprises the steps: creating block chain identities of the electronic components; performing cryptographic operation on a tag ID of an RFID tag in a built-in encryption chip and the block chain identity identifier to obtain an encryption tag; a challenge code sent by the RFID reader-writer is received, the encryption tag uses a built-in encryption chip to carry out AES encryption operation on the challenge code and a pre-stored secret key, and a secure communication link is established; and reading the price and material number information of the components passing through the secure communication link, and executing consistency verification to obtain a verification result, the security strength and anti-clone capability of the anti-counterfeit label are improved, and efficient verification of large-scale component inventory is realized.

The invention relates to the technical field of block chain food traceability, and discloses a block chain-based food traceability method and system, and the method comprises the steps: carrying out the timestamp processing of a batch number, a production date, a transportation temperature and storage humidity, and calculating a dynamic guarantee period to generate a traceability record; encrypting the batch number and the dynamic shelf life to generate a tamper-proof hash value; when the temperature and the humidity exceed threshold values, food state records are generated in combination with the Hash values; synchronizing the food state record to a supply chain node and performing consistency verification to obtain a shared data set; generating a credible two-dimensional code containing a batch number, a dynamic shelf life and a circulation record based on the shared data set; the consumer executes verification after scanning the code, extracts the shelf life field and the circulation information abstract, and compares the dynamic shelf life with the current time to generate a user interface; and consumer feedback is extracted, batch matching is verified through a timestamp, and a food traceability report is generated. The food state can be reflected in real time, data tampering is prevented, and traceability credibility is improved.

A method for greatly reducing data storage requirements of autonomous robots capable of product inventory is described. Instead using high resolution images for label identification and position tracking, a lower resolution map can be searched. Human or machines can identify position of labels, and via a reverse mapping, the corresponding position of a label on the high resolution image can be identified. Except for those portions of the high resolution image showing a label, most of the high resolution image can be discarded. Further processing on the limited image subset can be used to read the labels.

The invention discloses a shared device replacement management method and system based on AI glasses code scanning confirmation. The method comprises the following steps: generating a replacement data packet containing a dynamic verification code request; generating a unique dynamic verification code based on the received returning data packet, and synchronously pushing the unique dynamic verification code to the renter mobile terminal and the returning point micro server; collecting a dynamic verification code displayed on a renter mobile terminal through an interactive interface of the AI glasses; and carrying out matching verification on the dynamic verification code and a corresponding dynamic verification code stored in the micro server of the returning point, automatically finishing returning confirmation operation of the shared equipment at the returning point after the verification is passed, and updating the state of the equipment. According to the embodiment of the invention, rapid confirmation and accurate matching of the shared device replacement can be realized, and the security and efficiency of the replacement process are improved.

Embodiments of the present disclosure relate to the field of intelligent control technology, and disclose a consumable consumption control method, device and system. In the method, when an apparatus that consumes consumables moves to a preset range of a container for loading consumables, communication between the apparatus and the container is established so that the apparatus obtains consumable information of the consumables and operation instructions of the container; then, an operation mode of the apparatus is set according to the operation instructions, and consumption setting of the consumables may be determined according to the consumable information.

The invention relates to the technical field of data processing, in particular to a mobile terminal data intelligent backup method and device, a mobile terminal and a storage medium. The mobile terminal data intelligent backup method comprises the steps that when a preset triggering condition is monitored, such as an NFC label approaching event and / or at least one additional triggering condition, safety verification is executed, and a backup task is triggered if verification is passed. Wherein the NFC label is only used for waking up the backup application program of the mobile terminal. And after a backup task triggering instruction is received, writing the to-be-backed-up data into the external storage device successfully connected with the mobile terminal according to the intelligent backup strategy. According to the data backup method and device, intelligent triggering is achieved through the NFC near field sensing characteristic, the expansion requirement of the external storage device is considered, backup can be conducted according to the intelligent backup strategy, the personalized backup requirement under the complex scene is met, and the convenience and applicability of data backup are improved.

The invention provides a large geothermal heat exchange station efficient construction system and method based on a BIM technology. The scanning device is used for constructing a three-dimensional model of the geothermal heat exchange station through space scanning; the pre-assembly module is used for generating a BIM model with a precision control rule based on a drawing and a professional model, supporting standard value / standard update value double-precision grades, and automatically triggering precision switching by a user instruction or a conflict detection result; the conflict detection module is used for identifying building, structure, equipment and pipeline collision problems; the performance analysis module is used for generating analysis data such as fluid mechanics and thermal performance; the fusion module is used for aligning the conflict information and the performance data by using the fusion matrix to generate a high-precision analysis result; and the machine learning model is used for generating a performance evaluation result and a design optimization instruction based on historical data, and dynamically adjusting the model precision. Through dynamic precision control, multi-source data fusion and machine learning closed-loop optimization, the problems of low cooperation efficiency, frequent design change and operation and maintenance disjunction in traditional construction are solved.

A chess-like piece positioning and recognition system, including: an MCU, an RFID module, multi-channel analog switches, an electromagnet and communication signal switch unit, an electromagnetic drive unit, antennas, silicon steel blocks, and pieces. The MCU is used for communication with the RFID module, selecting channels of the multi-channel analog switches, and electromagnet and communication signal switch selection. The RFID module is used for reading information from the pieces. The multi-channel analog switches are used for group gating and intra-group channel gating of the RF channels. The electromagnet and communication signal switch unit is used for switching between the electromagnetic drive unit and the RF channels. The electromagnetic drive unit is used for driving an electromagnet. The antenna is used for sending and receiving signals from the pieces and also serves as the coil for the electromagnet. The silicon steel block is used as the core of the electromagnet, which generates a magnetic attraction to the pieces after being magnetized.

The invention provides an automatic production station working hour statistical system and method based on near field communication, the system comprises five layers of architectures including an identity recognition layer, a data acquisition layer, an edge computing layer, a cloud service layer and a terminal interaction layer, and the method completes the steps of initialization, NFC interaction triggering, multi-mode mistaken touch prevention verification and the like by means of the system. NFC, a sensor and a face recognition technology are fused, core modules such as task intelligent matching, energy consumption-man-hour linkage accounting and cross-station collaborative man-hour splitting are designed, and the system further has the functions of offline intelligent caching and multi-dimensional man-hour analysis. According to the invention, automation and precision of man-hour statistics are realized, single-station standardization and multi-station collaborative production scenes are adapted, data are ensured to be reliable and free of loss, deep fusion of production data is realized, enterprise hardware and management costs are reduced, and the intelligent manufacturing fine management level is improved.

The invention discloses a method and a system for identifying an anti-counterfeit label. The method comprises the following steps: acquiring spectral response characteristics of the anti-counterfeit label to be identified through a multiband optical sensor; extracting a dynamic coding area and a base material characteristic area in the spectral response characteristics, wherein the dynamic coding area comprises topological distribution information of a programmable encryption particle array; processing the topological distribution information of the dynamic coding region through a feature compression algorithm to generate a first verification factor, and extracting a spatial frequency feature of the base material feature region as a second verification factor; and uploading the first verification factor and the second verification factor to a cloud verification platform through a secure communication protocol, wherein the cloud verification platform is internally provided with a dynamic spectral feature library and a physical feature association model. According to the invention, through a double-engine architecture of programmable dynamic target and environment adaptive verification, the problems of static replicability and environment vulnerability of physical anti-counterfeiting are solved, and collaborative rise of anti-counterfeiting strength and use reliability is realized.

The invention discloses a warehouse cargo management method and device, equipment, a medium and a program product. The method comprises the following steps: generating a checking path according to the position of a to-be-checked target shelf in a warehouse checking task; aGV equipment is controlled to run to the position of the target goods shelf according to the checking path; identifying the label information of the first label of the target goods shelf through an RFID checking device, and querying the layer height of each goods shelf layer plate of the target goods shelf according to a preset mapping relationship between the label information and the goods shelf information; a lifting control instruction is generated according to the layer height of the goods shelf layer plates, so that a lifting device on the AGV equipment is controlled to lift the RFID checking device to each goods shelf layer plate; and identifying the label information of the second label corresponding to the goods on the goods shelf laminate through the RFID checking device. According to the invention, the method can meet the requirements of goods checking of multiple layers of goods shelves in a warehouse, and improves the storage and logistics management efficiency.

The invention discloses a livestock identity recognition method and system based on an unmanned aerial vehicle, and relates to the technical field of livestock identity recognition, and the method comprises the steps: constructing an identity information database which comprises the electronic ear tag IDs of all target livestock individuals in a pasture, a visible light feature image, an infrared thermal imaging contour template and a historical motion behavior sequence in a cloud server; initialization of an unmanned aerial vehicle system carrying a visible light camera, an infrared thermal imager, an RFID reader and an edge calculation module is completed, and communication connection between the unmanned aerial vehicle system and a ground control station and between the unmanned aerial vehicle system and a cloud server is established; controlling the unmanned aerial vehicle to enter an inspection area, monitoring a ground target through a visible light camera, synchronously acquiring a visible light image, an infrared thermal image and a radio frequency response signal of a target individual when the livestock is detected to enter an effective identification range, and performing timestamp alignment on the three types of data; a first visual feature vector is extracted from the visible light image and a visual confidence score is generated.

A guidance system for efficiently providing a mapped path for a shopper in a store. The guidance system including one or more processors and one or more tangible, non-transitory, computer-readable media storing instructions, wherein the instructions, when executed by the one or more processors, cause the guidance system to analyze data indicative of a plurality of purchase items, map each purchase item of the plurality of purchase items to a respective purchase item location in a store to provide a mapping of the plurality of purchase items, determine a route through the store based on the mapping of the plurality of purchase items such that the route includes the respective purchase item locations, and provide a display of the route including a graphical indication of each of the respective purchase item locations via a graphical user interface of a computing device.

A method and system are disclosed for creating a graphic element representing encoded biometric data that represents the facial biometrics of two or more individuals. The method includes capturing facial images of each person, generating non-reversible face-derived feature vector data, and embedding this data into a graphic on the item. To validate that the graphic is derived from the people presenting the graphic, the graphic is processed to extract corresponding feature vector data, which is compared to the data derived from newly collected facial images of the presenting people. Validation indicators are based on threshold comparisons. The system supports verification using photographs on the item and enables secure association through trusted entities and cryptographic signatures. The graphic may encode alpha-numeric strings representing biometric and document data. The graphic may be applied to any document or item, including driver's licenses, passports, titles, ballots, and financial instruments.

In a general aspect, orientation information is used to generate a unique code. In some aspects, orientation information is extracted from an object. The object includes multiple elements, and the orientation information indicates the relative spatial orientations of the respective elements. The orientation information can be extracted, for instance, by a scanner system that detects the elements. A unique code is generated for the object based on the orientation information. In some examples, the elements are diamond particles that each have one or more color centers, and the orientation information is extracted by detecting the color centers.

The utility model discloses a secret-involved carrier safety collection device, it includes feeding box, scanning code operation module, turning -on plate blanking module and elevating screen module. Feeding box is a front opening box, and the top of box is opened and is fed into the mouth. Scanning code operation module is installed at the opening of feeding box, and forms a closed space for accommodating secret-involved carrier with feeding box, and scanning code operation module is built -in and is used for scanning the scanning code module of the bar code on the secret-involved carrier that is accommodated in the closed space. Turning -on plate blanking module is fixed at the bottom of feeding box. Still be installed on feeding box one independent elevating screen module for man -machine interaction. The utility model can be realized in the closed space by collection device directly complete anti -fraud scanning code registration, collection work, fundamentally put an end to secret-involved carrier in the collection process is contacted by others, and the risk of evading secret-involved carrier scanning code collection registration confirmation is dropped, and secret-involved information is stolen.

A method for automatically configuring a machine learning model and providing access to the configured machine learning model is performed by a system comprising one or more processors. The method includes: receiving a transmission from a mobile device that includes decoded information based on an optical code associated with an asset, the decoded information including a lookup portion; retrieving custom response instructions associated with the asset from a storage location determined based on the lookup portion of the decoded information; transmitting the custom response instructions to a machine learning model; and transmitting instructions to the mobile device to display an interface at a display of the mobile device, the interface configured to enable a user of the mobile device to interact with the machine learning model subject to the custom response instructions.

The invention relates to the technical field of power system security, and particularly discloses a ground wire management operation system based on ground wire cabinet monitoring, which comprises a physical sensing layer, an edge computing layer, a block chain consensus layer and an application service layer. The physical sensing layer collects the identity, the in-place state and the electrical parameters of the grounding wire; the edge calculation layer carries out local data processing and event judgment; the block chain consensus layer realizes data credible evidence storage and cross-domain sharing through an intelligent contract and a distributed account book; and the application service layer provides asset panoramic display, cooperative verification and risk early warning services. Through the above architecture, unified management and safety collaboration of data of the whole life cycle of the grounding wire are realized, and the safety operation and maintenance level of a power grid is improved.

The invention discloses a plate positioning method and system based on visual identification, a robot feeding method and system and a computer program product. The plate positioning method comprises the following steps: acquiring a plate image containing a plurality of plates arranged side by side, wherein a label identification code is pasted on the surface of each plate according to a preset pasting direction; determining the number and the arrangement positions of the plates according to the number and the arrangement positions of the label identification codes in the plate images; scanning the label identification code on each plate to obtain the size information of the plate; according to the placement direction of the label identification code, determining the placement direction of the plate corresponding to the label identification code; performing overall contour recognition on the plate image to obtain an overall contour; according to the number of the plates, the arrangement positions of the plates, the size information of the plates and the placement directions of the plates, the overall contour is subjected to plate division, and contour position information of the plates is obtained. According to the plate positioning method, even if a plurality of pure black or pure white plates are placed side by side, the contour position information of each plate can be accurately identified and obtained.

An apparatus and method for aerosol delivery, wherein the apparatus includes a biodegradable outer body, a power source, an aerosolizable material reservoir, a control circuit comprising an aerosol generation mechanism, a channel on top of the aerosolizable material reservoir, an absorption pad encasing the channel, and a support feature on either side of the channel on top of the reservoir. The method includes using a processing unit of the apparatus to configure the control circuit after determining a device usability.

A QR Code Verification Engine provides a multi-layered security framework for generating, validating, and authenticating QR codes while preventing tampering, fraud, and unauthorized access. The system embeds a hidden security layer within the QR code using steganographic encoding or invisible watermarking techniques, ensuring detection of any modifications. The hidden layer is encrypted using asymmetric cryptography, allowing only an authorized verification system to extract and validate it. An AI-powered tamper detection module analyzes QR codes for anomalies, while cryptographic hash verification ensures integrity. The system employs biometric authentication, push notification approvals, and contextual security measures to enhance user verification. Dynamic QR codes with expiration rules prevent replay attacks. Secure offline verification allows authentication without network connectivity. The system integrates with financial platforms, web security tools, and real-time fraud detection mechanisms, ensuring a highly secure and scalable QR code validation framework for transactions, identity verification, and access control applications.