15880results about "Sensing by electromagnetic radiation" patented technology

Implementations relate to processing an image of a machine-read-able identifier (e.g., a QR code or other 2D barcode) to extract information that is encoded in the machine-readable identifier, and using the extracted information in automatically populating input fields of a fillable form that is being rendered at an application (e.g., a web browser application) of a computing device. Some implementations convert certain information, extracted from a machine-readable identifier, to a converted format and cause the converted format information to be populated in a corresponding input field in lieu of the certain information in its raw format that is extracted from the machine-readable identifier.

The invention discloses a pig breeding intelligent management and control system based on multi-modal data monitoring, and belongs to the technical field of pig breeding management, and the system comprises a data collection and individual recognition module which comprises an RFID ear tag, an inspection robot, an environment sensor and an intelligent feeder, and is used for determining the identity information of a pig individual based on the data collected by the RFID ear tag and the inspection robot, associating the collected multi-modal data of the live pigs in the pig house, and uploading the multi-modal data to edge computing equipment through an MQTT protocol for preprocessing; the feature extraction module extracts physiological and behavior features of live pigs by using a multi-modal deep learning fusion model; the key breeding index analysis module constructs a live pig health index and an environment quality index; the abnormity early warning module adopts a CUSUM control chart to accumulate index deviation and respond to abnormity; the management regulation and control model constructs a Markov decision process by minimizing energy consumption and maximizing health indexes, intelligently adjusts the rotating speed of a fan and a feeding strategy, and realizes precise environmental control and feeding optimization.

Disclosed here are various embodiments to evaluate a device and present a price quote to the user by detecting a presence of a device in proximity to a wireless charger. The system can utilize a wireless charger to obtain information about the device while charging the device. The information can include the make of the device. The system can guide the user to navigate the device to provide additional information such as model, memory capacity, unique identifier, and carrier associated with the device. Based on the unique identifier, the system can determine whether device has been stolen. If the device has not been stolen, the system can determine a price based on information obtained from the device and can facilitate presenting the price to the user. If the user accepts the price, the system can facilitate purchase of the device.

The invention relates to the technical field of electronic information, in particular to a data acquisition and analysis method of an RFID (Radio Frequency Identification Device) distance reading intelligent terminal, which comprises the following steps of: decomposing a radio frequency signal into a high-order IMF (Inertial Mode Function) component containing a carrier fundamental frequency and a low-frequency residual component reflecting a multipath effect by introducing a variational mode decomposition technology, so as to better separate signal characteristics; by combining segmented windowing, Hilbert transform and phase gradient analysis, the time-frequency characteristics of the phase abrupt change signal segment can be accurately extracted; and finally, a quantitative basis is provided for system optimization by constructing a multipath interference suppression effect evaluation model. According to the method, the anti-interference capability of the RFID reading distance intelligent terminal is analyzed, so that technical support is provided for deployment and performance evaluation of an RFID system in a complex environment.

The present disclosure generally relates to methods and user interfaces for managing information on computer systems. In some embodiments, methods and user interfaces for managing display of user interface elements based on movement of the computer system and requesting account information are described. In some embodiments, methods and user interface for provisioning an account onto a computer system are described. In some embodiments, methods and user interfaces for associating a transfer amount with an account are described. In some embodiments, methods and user interfaces for displaying user interface elements corresponding to transaction types are described. In some embodiments, methods and user interfaces for managing one or more pending loans are described. In some embodiments, methods for entering a numeric sequence are described. In some embodiments, methods for locking a computer system while entering a number sequence are described.

The invention provides a trademark identification method and system based on an anti-counterfeiting code, and relates to the technical field of anti-counterfeiting identification, and the method comprises the steps: obtaining a to-be-identified trademark image, carrying out the preprocessing, generating a corresponding anti-counterfeiting code through employing an anti-counterfeiting code generation algorithm based on chaotic encryption, and embedding the generated anti-counterfeiting code into a standard trademark image, obtaining a trademark image carrying an anti-counterfeiting code, and carrying out code positioning on the trademark image to obtain a standardized anti-counterfeiting code image; decoding the standardized anti-counterfeiting code image to obtain an original bit stream of the anti-counterfeiting code, and verifying the validity of the original bit stream through Hash verification to obtain an anti-counterfeiting code verification result; and judging the authenticity confidence coefficient of the to-be-identified trademark image by using a pre-trained trademark authenticity judgment model, and outputting a final trademark identification result based on the anti-counterfeiting code verification result and the authenticity confidence coefficient of the to-be-identified trademark image in combination with a pre-acquired multi-source heterogeneous trademark identification evidence.

A bridge apparent disease inspection method, inspection system and inspection apparatus, relating to the technical field of bridge maintenance. The method comprises: obtaining, in real time, an inspection image set photographed by a monocular camera in a bridge inspection process; dynamically identifying a target disease in the inspection image set by using a visual inspection algorithm; selecting a two-dimensional code positioning point, determining spatial position coordinates of the two-dimensional code positioning point, and calculating a first relative position between the monocular camera and the two-dimensional code positioning point on the basis of an eight-orientation two-dimensional code positioning method; determining a relative distance and a relative angle between the monocular camera and the target disease, and obtaining a relative position between the target disease and the monocular camera by means of calculation by using the relative distance and the relative angle; and obtaining spatial position coordinates of the target disease by means of calculation by using spatial position coordinates of the monocular camera and the relative position between the target disease and the monocular camera. The technical problems in the prior art that bridge apparent disease inspection is mainly manual inspection, the danger coefficient is high, and the inspection result is affected by subjective factors are solved.

The invention provides a high-density RFID tag group scanning system based on a multi-antenna array and beam forming, and relates to the technical field of the Internet of Things. The system comprises a multi-antenna array, an RFID reader-writer, a beam forming unit, a signal processing unit, a feedback unit and a data management unit. Through a digital beam forming technology, the system dynamically adjusts the direction and width of a beam, and achieves the precise scanning of a target area. And in combination with real-time signal feedback, a density peak clustering algorithm and a gradient descent algorithm are adopted to optimize beam parameters, so that the recognition efficiency is improved. The system further utilizes an anti-collision algorithm to dynamically adjust frame parameters, and performs logic grouping based on spatial positions and type characteristics of tags, so that signal collision and missed reading rates are remarkably reduced. Meanwhile, the data management unit stores and outputs the label data in a classified mode, and intelligent management capacity is provided for multi-scene application.

The invention provides an assembly line electronic tag management system based on multi-frequency fusion, and relates to the technical field of the Internet of Things, and the system comprises a dual-band module which is used for integrating a high-frequency and ultrahigh-frequency dual-band radio frequency electronic tag on the surface of a target object, and forming a tag dual-mode function; and the signal processing module is used for synchronously acquiring the high-frequency positioning signal and the ultrahigh-frequency identification signal through the multi-band reader-writer array on the basis of a tag bimodal function so as to obtain a preprocessed signal flow with aligned time domains. According to the invention, the efficiency of label identification, data transmission and production management is improved in a complex scene, errors and cost are reduced, and efficiency and quality are improved.

A method of interactively navigating a user through a path of menu choices on a user interface may include displaying a current menu of choices on a first portion of a user interface display. The user interface allows for selecting of a menu item from the current menu of choices and to drill down through levels of menu choices based on selecting a menu item from a prior level of menu choices. A second portion of the user interface display presents past selected and past unselected menu items of the drilled-down levels. The past unselected menu items are displayed as selectable options. The user interface allows for jumping to a different path of menu choices by selecting a past unselected menu item from a previously navigated menu level displayed on the second portion of the user interface display.

A retail checkout system decodes machine-readable indicia from a composite image frame produced from a sequence of captured image frames. Different regions in the composite image are derived from different ones of the image frames in the captured sequence. Another embodiment generates a composite image frame from image frames captured with different camera focus settings. Still other embodiments concern neural networks, including their training to segment different items presented on a retail checkout surface. Other neural network embodiments discern on which of two items a machine readable indicia appears, when the visual context is ambiguous. A variety of other features and arrangements are also detailed.

Systems and methods are provided for providing package delivery assistance. The systems and methods detect, by a wearable device, an identifier associated with a package and retrieve package delivery information from a package delivery device using the identifier of the package. The systems and methods display, by the wearable device, a portion of the package delivery information and generate, by the wearable device, visual navigational assistance to guide a courier to a delivery location associated with the package.

A system including a processor and memory coupled to the processor. The system also includes a lateral flow assay (“LFA”) strip reader coupled to the processor for transmitting an LFA strip image to the processor. The processor initiates a sterilization process when the LFA strip image includes a visual feature indicating a sterilization trigger.

A distribution system is disclosed for use in an induction system with an object processing system. The distribution system provides distribution of dissimilar objects into one of a plurality of receiving units. The distribution system includes an urging system for urging an object on a conveyor from the conveyor to one of a plurality of adjacent receiving stations via a receiving chute, wherein each receiving station is lower than the conveyor.

The invention relates to the technical field of archive management, and discloses an RFID technology-based intelligent archive cabinet management method, which comprises the following steps of S1, inputting label information and archive information in a system, performing encryption storage through a block chain technology, arranging a sensor in an archive cabinet, acquiring environment data, and associating the environment data with RFID label information in real time; s2, an RFID reader-writer, a sensor and a camera are installed, the working states of the RFID reader-writer, the sensor and the camera are debugged to collect data in various environments, a self-adaptive signal enhancement mechanism is introduced, and the power and the frequency of the RFID reader-writer are adjusted according to the real-time environment. By combining the block chain technology and the digital signature technology, the system ensures that file data cannot be tampered and the operation safety is ensured, the introduction of the block chain provides a highly transparent and safe operation platform for file management, and the overall safety of the system is significantly improved. An intelligent fault prediction and label failure detection mechanism can identify potential problems in advance and prevent faults.

An induction system is disclosed for filtering the induction of objects to a plurality of object processing systems. The induction system includes an evaluation means for evaluating at least one characteristic of an object, and routing means for routing the object in one of a plurality of directions responsive to the evaluated characteristic, at least one of the plurality of directions leading to a selected one of the plurality of object processing systems.

An RFID tag interference solving method based on a density peak value clustering algorithm reduces signal interference between tags and improves reliability and identification precision of a system by dynamically adjusting priorities and time windows of RFID tags. The method comprises the following core steps: firstly, acquiring a label response signal through an RFID reader-writer; secondly, preprocessing the data, and removing noise and abnormal values; then, calculating the local density of the label signal, and identifying a density peak value region by using a clustering algorithm; then, reducing signal collision of tags in a high-density region by dynamically adjusting priorities and time windows of the tags in the region, and preferentially processing the tags; and finally, outputting a processed tag identification result. According to the invention, the problem of signal interference in a high-density RFID tag environment is obviously solved, the identification accuracy and the operation stability of the system are improved, and the method is suitable for various high-density tag application scenes.

A reconfigurable intelligent surface (RIS) includes one or more radio frequency identification (RFID) tags. The one or more RFID tags may perform functions of a controller of the RIS. The one or more RFID tags receive a reference signal from a wireless communications device. The RIS may process the received reference signal and the one or more RFID tags backscatter a response signal to the wireless communications device. The wireless communications device may also perform processing of the backscattered response. Processing includes measuring channels from the wireless communication to the RFID tags. Processing also includes estimating channels from the wireless communication to elements of the RIS. Based on the estimated channels, a beam matrix corresponding to optimized weights of the RIS elements is determined and transmitted to the RIS.

The invention discloses an intelligent traceable hazardous waste management system based on RFID, particularly relates to the technical field of hazardous waste intelligent supervision, and is used for solving the problems of unreliable data acquisition, misreading and misreading and state updating delay caused by signal interference of an existing RFID system in a high-density hazardous waste storage scene. The method comprises the following steps: dynamically dividing warehouse sub-regions, distributing a unique grouping identification code, and combining a directional antenna array partition scanning technology to avoid signal crosstalk; by analyzing the multi-path phase fluctuation rate and the polarization direction offset, a main interference frequency band is dynamically identified by using a covariance decomposition algorithm, and the communication frequency is switched, so that the tag identification rate in a complex electromagnetic environment is improved; scheduling a target sub-region scanning process based on a warehouse-in and warehouse-out instruction, synchronously verifying a label state and an actual position, generating an operation link space-time atlas, actively tracing cross-region time logic contradictions and triggering full-disk scanning; and full-process accurate tracing of the hazardous waste container and complete data management and control in a high-density scene are realized.

The invention relates to the technical field of medical equipment, and discloses a multi-head transfusion intelligent switching control system, which comprises the following modules interconnected with a control bus through a data bus: a multi-source information binding module; a multi-modal sensing data fusion module; an intelligent safety control module; an edge-cloud collaborative decision module; a human factor engineering interaction module; a system full life cycle management module; and an infusion pipeline switching execution mechanism. Through the multi-mode sensing fusion and real-time data processing technology, the whole-course automatic monitoring of the infusion progress, the flow speed and the remaining medicine amount is achieved. The nurse station central billboard and the mobile terminal synchronously display infusion states of all beds, sound-light alarm is triggered in time when abnormal conditions occur, manual patrol video frequency is remarkably reduced, an edge computing node is applied to carry out localized data analysis, and it is ensured that alarm response delay is lower than a clinical safety threshold value. And the problem of low efficiency caused by manual regular patrol traditionally is effectively solved.

The invention provides a tracing processing method and system for a disinfection supply center. The method comprises the following steps: recording acquired operator input data, sterilization equipment attribute information, sterilization equipment operation data and identification data of articles to be sterilized; the traceability system carries out proofreading and data summarization on all the collected data according to timestamps to form a unified data set; the traceability system compares records in the data set with preset sterilization parameter data item by item, and generates corresponding comparison identifiers; the traceability system executes inventory information updating according to the consumable warehousing record and the packaging or issuing data, and records an inventory state; and establishing a data association index for the classified and stored record data according to the timestamps and the sequence of each subdivision process. According to the technical scheme adopted by the embodiment of the invention, a multi-level mathematical model is constructed to realize decision making, calculate the safety inventory in real time and trigger graded early warning, information tracing and sharing of the whole process are realized, a complete autonomous chain of data acquisition, anomaly detection, balance evaluation and parameter optimization is formed, and the safety of the system is improved. And a systematic solution is provided for fine management of medical supplies.

The invention relates to the technical field of data transmission, and discloses an ultrahigh frequency RFID system data transmission method, device and equipment and a storage medium, and the method comprises the steps: carrying out the band-pass filtering and orthogonal demodulation of a multi-tag backscattering signal received by an RFID reader, and obtaining a tag feature data sequence; performing multi-dimensional feature analysis and time sequence correlation calculation to obtain an independent label signal frame; boundary identification is carried out, and a label data frame starting point is determined; carrying out continuous sampling analysis and label signal conflict identification, and outputting a conflict position sequence; performing matrix interleaving transformation and position rearrangement on the data marked by the conflict position sequence to generate an anti-conflict data packet; the label access scheduling queue is constructed based on the transmission time sequence and the priority attribute of the anti-collision data packet, the multi-label concurrent transmission time sequence is output, and the data transmission performance of the ultrahigh-frequency RFID system is improved through multi-stage signal processing and an intelligent scheduling mechanism.

The invention discloses a manufacturing full-process supervision method and system based on RFID tag tracking, and relates to the field of manufacturing full-process supervision, and the method comprises the steps: collecting production information, and obtaining process sequence information; according to the process sequence information, generating a to-be-processed product, and obtaining an operation process proficiency grade; an RFID tag is arranged on the product to be processed; obtaining current process information of a to-be-processed product, obtaining to-be-tested process sequence information, obtaining real-time product allowance, and establishing a target function; obtaining process sequence information of qualified products, and recording the process sequence information as standard process sequence information; comparing the to-be-tested process sequence information with the standard process sequence information to obtain process sequence abnormal data; analyzing RFID tag information of a product corresponding to the process sequence abnormal data to obtain abnormal process flow information; obtaining abnormal factors according to the abnormal technological process information; carrying out weight assignment on the abnormal factors; and combining the abnormal factor weight value with the target function to generate a planning model.

The invention relates to the field of bar code recognition, and provides an image bar code multi-code recognition method, device and system and a storage medium, dynamic illumination compensation and multi-scale feature fusion are performed on an input image through a multi-modal image preprocessing module, and the bar code feature quality is remarkably improved; a lightweight multi-task detection network is adopted to synchronously output a bar code bounding box, a category probability and a segmentation mask, and a dynamic region growing algorithm is combined to expand a region boundary along a bar code texture direction, so that densely arranged or partially overlapped bar codes are effectively separated; compatible processing of mixed type barcodes is supported through a geometric correction and type judgment module; synchronously executing binaryzation, module analysis and error correction decoding on the plurality of bar code areas based on a parallel decoding pipeline accelerated by a GPU (Graphics Processing Unit); and finally, outputting the structured JSON data through a multi-modal verification mechanism. By means of the technical scheme, the problems that in the prior art, dense bar codes are difficult to separate, mixed types are poor in compatibility, and real-time performance is insufficient are solved.

The invention discloses a code reader distorted image correcting and decoding method and system based on machine vision. The method comprises the following steps: acquiring an original image containing a bar code through image acquisition equipment, preprocessing the original image, and extracting feature parameters; image distortion types including radial distortion and perspective distortion are judged according to the extracted features, and distortion correction is carried out by adopting a corresponding correction model; performing quality evaluation on the corrected image, and when a quality threshold value is met, repositioning a bar code area and performing decoding processing; the method can effectively solve the problem of image distortion caused by inherent defects of an optical system and a shooting angle in the bar code reading process, remarkably improves the accuracy and success rate of bar code recognition, and is suitable for bar code recognition application in the fields of industrial automation, logistics management and the like.

The invention provides a system and method for optimizing the production process of a manufacturing enterprise based on intelligent coding, and the system employs a static part-dynamic part-semantic relation coding structure to carry out the corresponding coding of materials, equipment, exchange units, departments, and personnel needed by the production of the enterprise. Real-time acquisition and updating of five types of object states are realized through an industrial sensor and edge calculation, and object state changes are directly reflected through dynamic coding; natural language processing is combined with a rule engine, a knowledge graph between coding objects is established based on a domain exclusive rule, a semantic network is formed, a production relation between the objects is established, the method acts on production planning, material purchasing, warehouse management, manufacturing management and logistics management links in enterprise production, and an enterprise is helped to formulate a scientific production plan. According to the invention, by adopting an innovative intelligent coding mode, various resources are seamlessly integrated with each module in the production cycle of an enterprise, so that decision making of the enterprise in production and operation is more accurate and reasonable.

The invention relates to the technical field of material management, and discloses an infrastructure material cyclic application management and control system, which comprises the following modules: an intelligent material identification and real-time data acquisition module, which is used for carrying out automatic identification, classification and real-time data acquisition on infrastructure materials based on various sensor technologies (visual identification, RFID, laser scanning and NFC) and a deep learning algorithm, a digital material file is generated, and dynamic tracking and accurate positioning of materials are achieved; and the block chain-based full life cycle management module is used for carrying out data management and encrypted storage on the full life cycle (from purchasing, transportation, storage, use, maintenance, cyclic utilization to scrapping treatment) of the materials. Through close combination of a multi-mode sensor technology (visual identification, RFID, laser scanning and NFC) and a deep learning algorithm, all-directional and multi-dimensional identification and real-time data acquisition can be performed on capital construction materials in a complex and changeable environment.

The invention discloses a fresh cold chain quality early warning regulation and control method based on the Internet of Things, and belongs to the technical field of detection and analysis of fresh goods, and the method comprises the steps: obtaining the original quality state of goods, and obtaining the initial data of the goods; acquiring temperature, humidity, gas concentration and vibration intensity in the cold chain environment, and generating multi-source environmental parameters; based on the commodity initial data and the multi-source environment parameters, calculating to obtain a corruption activity index; generating a graded early warning signal according to the decay activity index; in response to the graded early warning signal, generating an equipment cooperation instruction; the device cooperation instruction is sent to the cold chain device cluster to execute regulation and control; and acquiring environment feedback parameters after the cold chain equipment cluster executes regulation and control, and updating the corruption activity index based on the environment feedback parameters. According to the method, the fresh food quality degradation risk can be accurately predicted, the targeting and effectiveness of regulation and control are improved, and the goods damage in the cold chain transportation process is remarkably reduced.

The invention belongs to the technical field of logistics conveying, particularly relates to an automatic material conveying system for a door and window processing workshop, and aims to solve the problem of low efficiency caused by insufficient automation, flexibility and intelligence of an existing system. The system comprises a data acquisition and perception module, a digital twinning module, a task management and scheduling module, an intelligent path planning and obstacle avoidance module, a multi-agent cooperative control module, an execution and feedback module, a man-machine interaction and visualization module and the like. And multi-mode collaborative operation, real-time path optimization and dynamic task allocation of the material conveying equipment are realized. The production efficiency, the flexibility and the intelligent level of a door and window processing workshop are remarkably improved.

A diversified system shared rental device and method relates to a service and associated system that can turn any vehicle (such as a self-use vehicle) into a rentable vehicle. By means of a “vehicle rentable and networkable module”, all vehicles required to be rented and networked are installed, and the vehicles with rentable capability processed by the vehicle rentable and networkable module are connected to the diversified system shared rental device. Through the control of the diversified system shared rental device, a rental service of the rentable vehicles is provided. A rental platform is provided for completing a renal match operation, so that a general self-use vehicle can be rented and shared at any time in the free time to minimize the idle cost of all the vehicles and create a profit-making model to promote the benefits of the part-time economy.