2718 results about "Barcode" patented technology

Provided herein are materials and methods for in situ labeling of a biological sample for use in spatial analysis of one or more analytes in the biological sample. In some aspects, in situ labeling of a biological sample includes labeling the biological sample with one or more spatial barcodes.

The present disclosure features methods, compositions, and kits for spatially barcoded, reusable master oligonucleotide probes.

Provided herein are methods of analyzing an analyte in a fixed biological sample on a first substrate that has been stored for a long period of time, the method comprising: (a) hybridizing a first probe and a second probe to the analyte of the fixed biological sample; (b) coupling the first probe and the second probe, thereby generating a connected probe; (c) aligning the first substrate with a second substrate comprising an array, wherein the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises: (i) a spatial barcode and (ii) a capture domain; (d) when the biological sample is aligned with at least a portion of the array, (i) releasing the connected probe from the analyte and (ii) migrating the connected probe from the biological sample to the array; and (e) hybridizing the connected probe to the capture domain.

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.

Provided herein are methods for capturing a connected probe and / or a capture handle sequence to a capture domain of a capture probe.

A real-time inventory management system that includes: a centralized control platform module configured to receive, consolidate, and process inventory data from multiple sources, including warehouses, retail stores, and distribution centers; an IoT and sensor module with RFID tags, barcode scanners, and smart sensors configured to track inventory items, monitor environmental conditions, and update inventory records in real time; a machine learning and demand forecasting module configured to analyze historical inventory data, market trends, and external factors to predict future demand and optimize inventory levels; an automatic replenishment and replenishment module configured to dynamically generate and execute replenishment orders based on real-time inventory levels and forecasted demand; a data integration and synchronization module configured to enable seamless communication and data synchronization with external systems, including Enterprise Resource Planning (ERP) platforms and supplier networks; a user interface and dashboard module configured to display real-time inventory status, actionable insights, and key performance indicators (KPIs) for decision-making.

This disclosure relates to methods for spatial profiling of analytes present in a biological sample. Also provided are methods for using spatially barcoded substrates to detect a biological analyte in a cell culture, an organism, and organoid. Also provided are methods for using spatially barcoded substrates to detect the temporal profile of a biological analyte.

Compositions, kits, and methods for reducing mislocalization of analytes from a biological sample in the context of an array-based spatial analysis platform are disclosed herein. Also, disclosed herein are a first region of capture probes, where the capture probes include: (i) a spatial barcode, (ii) a first capture domain, and (iii) one or more functional domains, and a second region of capture probes, where the capture probes include a second capture domain. The second region of capture probes can capture analytes from portions of the biological sample that exceed the boundaries of the first region of capture probes, thereby reducing analyte mislocalization and improving the accuracy of the array-based spatial analysis platform.

The present invention relates to a system (100) and method (300) for automated product validation, identification, and transaction management in shopping environments. The system (100) integrates a smart shopping cart (102) equipped with at least one camera (106), a load cell (108), and a user interface (110). An AI model trained on a dataset of high-resolution, 360° product images generate unique image embeddings for each product. The system performs multimodal validation by comparing the extracted image embeddings, measured weight data, and scanned barcode information with reference data stored in a vector database. Further, discrepancies, such as unscanned products or mismatches, are flagged, and payment is blocked until resolved.

The invention discloses an online detection method for the sealing performance of a sealing element, particularly relates to the technical field of quality detection of industrial sealing elements, and is used for solving the problems of reference value deviation and misjudgment caused by neglecting the influence of mounting stress in an existing detection method. According to the method, a sealed contact interface phase field model is constructed by collecting installation stress data in real time, and crack network permeability is analyzed to predict a leakage diffusion path; high / low stress sensitive areas are divided according to the spatial correlation between the stress gradient and the leakage density, and differential signal acquisition is implemented; extracting a bar code entropy value through topological data analysis, generating a compensation priority sequence, and dynamically correcting a detection reference; and finally, based on the regional weight fusion compensation signal, outputting a high-precision pressure distribution and leakage flow trend result. Cross-field coupling analysis of installation stress and leakage signals is achieved, and the accuracy and reliability of sealing performance detection under complex working conditions are improved.

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 provides a medical drug management system and an optimization method, and relates to the technical field of medical information management, the system comprises a medicine management platform, a medicine database and an information technology support module; wherein the medicine management platform adopts a modular design and comprises a medicine inventory management module, a patient information management module, a medicine use process management module and a report statistics module, and information interaction among the modules is realized through interfaces; the medicine database is used for storing medicine information, medicine inventory information and patient medication information; the information technology support module comprises a bar code scanning module, an RFID technology module and a cloud computing module. By integrating the advanced information technology and the medical management concept, the medical drug management system which is comprehensive in function, efficient and safe is provided, the management process is optimized, the drug use safety is improved, the management cost is reduced, and personalized drug use suggestions and decision support are provided.

The invention provides a fuzzy barcode image processing method and system fused with super-resolution repair. The method comprises the following steps: acquiring a bar code image containing dynamic blurring, detecting a blurred region formed by superposition of motion tracks in the bar code image based on space-time continuity characteristics of the dynamic blurring, extracting an edge diffusion direction of the blurred region, and determining the dynamic blurring of the bar code image according to the edge diffusion direction. And performing multi-scale detail layer generation on the fuzzy region, inputting the multi-scale detail layer into a fusion repair module, and generating a repaired high-resolution barcode image by alternately executing super-resolution reconstruction guided by local high-frequency information and morphological repair of a module gap. Edge sharpening and noise suppression are carried out on the high-resolution barcode image, and a clear image meeting the barcode decoding standard is output; according to the technical scheme provided by the invention, the restoration precision and reliability of the complex dynamic fuzzy scene are remarkably improved, and the output image strictly meets the geometric constraint requirement of bar code decoding.

The invention relates to a work order material intelligent tracking and dynamic updating system based on multi-source data fusion. The system comprises an acquisition module, a tracking module, an updating module, a man-machine interaction module and a storage module, the acquisition module is used for acquiring work order information from a bill of material, scheduling information and inventory and supplier data, and constructing a material data model; the tracking module monitors material inventory, consumption and material shortage risks based on the model, and realizes automatic state updating and graphical path recording in combination with bar code recognition and ambiguity analysis; the updating module predicts material requirements through a machine learning algorithm, optimizes a distribution plan and outputs a dynamic report; the interaction module supports multi-format data import, unstructured field classification and interrupted operation control; the storage module ensures credible synchronization and tamper-proofing performance of data among different systems through a block chain technology; according to the invention, high-efficiency management and dynamic allocation of work order materials can be realized in an environment without an MES system, and the production transparency and the resource utilization efficiency are improved.

The invention discloses a bar code and RFID dual-mode fused tamper-proof data storage system, and relates to the field of data security storage, which comprises the following steps: uploading complete data to be stored into a scanning monitoring platform, splitting the data into static data and dynamic data, writing the static data into a bar code module, and writing the dynamic data into the bar code module; randomly distributed initial fluorescent particles are generated on the surface of the bar code data label through a scanning monitoring platform, a unique initial optical fingerprint is generated, if a bar code module is tried to be written or modified, the distribution position of the initial fluorescent particles is modified, an abnormal optical fingerprint is obtained, and an alarm is given; and writing the dynamic data into the RFID module, generating a dynamic key in each communication, and performing cross validation on the hash value based on the static data and the dynamic data. The method has the advantages that a three-dimensional protection system is constructed through a dual tamper-proof mechanism of a physical layer of fluorescent particle displacement and a password layer of a dynamic key in combination with cross validation of a hash tree, and the tamper-proof capability is improved.

A method of making a barcoded surface includes synthesizing a plurality of arrays arranged in rows and columns. Each array can include a plurality of discrete reaction sites with a first oligonucleotide containing a first unique array barcode sequence. The first unique array barcode sequences of the first oligonucleotides corresponds to a mapped discrete reaction site location within the array. A second oligonucleotide can be coupled to the first oligonucleotide that contains a second unique barcode sequence. The first unique barcode sequences of the second oligonucleotides corresponds to a mapped first sub-group location within the plurality of arrays.

The invention relates to the technical field of logistics storage management, and discloses a logistics storage warehousing management method based on big data, which comprises the following steps: step 1, acquiring order data in an order management system through Internet of Things equipment, acquiring cargo information by using an RF ID tag and bar code scanning equipment, acquiring storage environment parameters by using a temperature and humidity sensor and a light sensor, and storing the storage environment parameters in a database; a built-in sensor of a forklift and a built-in sensor of an automatic guide vehicle are used for collecting equipment state data, real-time image data of goods are collected through a high-definition camera, and the collected data comprise timestamps, data source identifiers and initial data values. According to the method, modeling is carried out on historical order quantity, warehousing frequency, cargo types and time sequence characteristics by utilizing a long-short-term memory network model, so that time dependence and seasonal change trend of data are accurately captured, and accurate prediction of future warehousing demands is realized; and the effects of improving the prediction accuracy and providing a reliable basis for goods allocation and resource scheduling are achieved.

The invention discloses a multi-department medical sample collaborative management system and method, and relates to the technical field of medical information, and the system comprises an integrated information interaction platform which is used for achieving the real-time sharing of basic information, clinical diagnosis information and inspection reports of patients; the unique identification module is used for carrying out full-life-cycle tracking on a patient sample through a bar code or a radio frequency tag and dynamically associating the patient sample with patient information; the Internet of Things monitoring module is used for collecting and uploading temperature and humidity parameters of the sample storage environment in real time and triggering abnormal early warning; the automatic storage equipment executes sample classified storage and calling based on a platform instruction, and synchronously updates a sample state with the information system; and the data security module is used for realizing data encryption, dynamic authority management and operation traceability by adopting role-based access control and a block chain technology. According to the technical scheme, the core problems of data islands, low operation efficiency, weak safety and the like in traditional medical management can be systematically solved.

Disclosed herein are system, method, and device embodiments for providing a mobile interface powered by artificial intelligence. A user remains on a single user-interface page, conducting interactions with a customer relationship management tool using natural language. The technique leverages a large language model as an intermediary middle-layer, allowing a user to engage core functions. The technique builds an appropriate prompt including the natural language and uses the large language model to build an execution plan that references tools and tasks performable in the customer relationship management tool. By chaining prompts, the technique incorporates prior interactions into subsequent prompts. Mobile-specific information such as location, images, and scanned barcodes may be included in a prompts. Running the large language model on the client device allows the user to perform CRM functions while operating in an offline mode, a mode that secures user data and enhances privacy.

The invention discloses an intelligent sound box system with a doll identification function. The intelligent sound box system comprises the following steps: S1, hardware design: S1.1, a top area: designing an area for placing a doll; an inductor, such as an RFID card reader, an NFC sensor, a visual identification camera (such as a 2D bar code / two-dimensional code / image identification) and the like, can be embedded into the top; and S1.2, the sound box part is provided with a high-quality loudspeaker, a microphone array, an LED lamp, a touch screen and the like, and is used for outputting sound, displaying interactive information, displaying states and the like. By identifying different dolls and interacting with the dolls, the intelligent sound box not only is a tool for playing audio, but also becomes an intelligent partner capable of accompanying a user. The interaction between the user and different dolls can enrich daily life and increase entertainment and emotion connection, and each doll corresponds to a unique virtual character, so that the immersion of the user is improved. For example, children can select story contents or talk with their favorite roles according to their preferences, so that the dull feeling of single content is avoided.

A parcel delivery security container includes a bottom panel, side panels, a lid, an electromagnetic lock assembly, an input device, a barcode scanner, a microprocessor, and a power source. The side panels are transverse to the bottom panel to form an open-ended compartment. The lid is pivotably connected to one of the side panels to selectively open and close the compartment. The electromagnetic lock assembly releasably locks the lid when closed. The input device is on an outer surface of the security container to permit a user to enter information. The barcode scanner is on an outer surface of the security container to scan barcodes on parcels. The microprocessor is operatively connected to the input device, the barcode scanner, and the electromagnetic lock assembly to control locking and unlocking thereof. The power is operatively connected to the input device, the barcode scanner, the electromagnetic lock assembly, and the microprocessor.

Provided herein are methods of performing multiplex detection of ligand binding kinetics. In some embodiments, the methods include contacting ligands with an array of nucleic acid barcoded oscillators disposed on a first surface of a substrate that comprises an electrically conductive coating, applying an AC electric field to the substrate sufficient to induce the nucleic acid barcoded oscillators to oscillate proximal to the first surface of the substrate, and detecting changes in oscillation amplitudes of the nucleic acid barcoded oscillators over a duration to produce sets of ligand binding data. In some embodiments, the methods also include contacting barcode decoding nucleic acids with the array of nucleic acid barcoded oscillators applying an AC electric field to the substrate sufficient to induce the nucleic acid barcoded oscillators to oscillate proximal to the first surface of the substrate, and detecting changes in oscillation amplitudes of the nucleic acid barcoded oscillators over a duration to produce sets of barcode decoding data.

A cyber security appliance for detecting the presence of a barcode is provided. The cyber security appliance is configured to: receive input data; obtain one or more images from the received input data; detect that a candidate barcode is present in the one or more images; and output an alert, wherein when the candidate barcode can be decoded, the alert indicates that a valid barcode is present in the received input data, and wherein when the candidate barcode cannot be decoded, the alert indicates a candidate barcode that cannot be decoded is present in the received input data. A corresponding method and non-transitory computer-readable medium are also provided.

The invention discloses a safety risk management and control system for a chemical industry park, particularly relates to the technical field of risk diffusion prediction, and is used for solving the problem that in the prior art, an emergency instruction and a risk propagation path are dynamically mismatched, and cross-regional chain reaction cannot be cooperatively blocked. Environmental parameters and equipment state data are obtained through a data acquisition module, and a fluid correction module extracts a continuous coherent bar code of turbulent vortex to generate a path correction coefficient; the coupling modeling module is combined with a multi-physics field coupling equation to generate dynamic space-time propagation parameters, and the path prediction module predicts a diffusion direction and an influence area according to vector superposition of the parameters and a three-dimensional topological map; the instruction optimization module adjusts the priority and the trigger range of a control instruction, and the execution control module organizes emergency equipment to block a diffusion path according to a preset logic; through dynamic modeling and path matching optimization, time-space cooperation of emergency response and control execution is realized, and the accident diffusion risk of the chemical industry park is significantly reduced.

The present disclosure relates to cybersecurity architectures and systems for assessing and quantifying security threats and risks associated with machine-readable codes, such as quick response codes, barcodes, data matrix codes, and other types of codes. A security application comprises a multi-context threat assessment system configured to analyze a broad spectrum of risk assessment attributes across multiple contexts. These contexts relate to the machine-readable code itself, target network resources identified by the code, entities affiliated with the code, end-users interacting with the code, and enterprise systems policies. The system can evaluate various risk assessment attributes for each of these contexts to more accurately quantify potential security risks associated with the machine-readable codes. The security application further includes an API for extending its threat assessment capabilities to various digital ecosystems and an AI-powered learning network comprising language models and computer vision systems to enhance threat detection and risk quantification capabilities.

The invention provides a motion blurred bar code identification method and system based on multi-frame image fusion, and the method comprises the steps: obtaining a continuous image sequence containing a motion blurred bar code, carrying out the motion track feature extraction of the continuous image sequence, and obtaining a motion vector field and a pixel displacement track set of a bar code region in each frame image unit; performing multi-frame image fusion on the continuous image sequence based on the motion vector field and the pixel displacement track set to generate a candidate bar code image set; performing deblurring enhancement processing on the candidate bar code image set to obtain a clear bar code image unit after deblurring processing; and performing bar code area positioning and distortion correction processing on the clear bar code image unit to generate a standardized bar code image, and performing identification to obtain an identification result. According to the invention, the accuracy and reliability of bar code identification in a motion blurred scene can be obviously improved.

A smart shopping cart identifies items using cameras and sensors. The cart captures images of items within its storage area and applies machine-learning models, such as a barcode detection model, an OCR model, and an image embedding model, to generate identifier predictions. These predictions are processed using an efficient selection algorithm, which may involve majority voting, weighted voting, or linear regression, to select the most accurate identifier. The cart updates its display and user interface with the identified item. The process may be performed primarily by the CPU to enhance computational efficiency, avoiding the latency associated with GPU data transfer. Additional techniques, such as circular buffers and frame skipping, are employed to further optimize resource usage.

Data are optically transmitted from a power tool device, such as a power tool, a power tool battery charger, power tool pack adapter, and / or a battery pack. The data are stored in a memory of the power tool device and are encoded as optical signal data to provide an encoded representation of the stored data. An optical transmitter (e.g., a light emitting diode or a flat panel display) transmits the optical signal data, which are detected or otherwise received by an optical receiver device, which may include a camera or other photodetector. The optical signal data may include light signals generated by an LED, where the data are encoded using an encoding scheme that modulates one or more characteristics (e.g., amplitude, wavelength, color) of the generated light signals. The optical signal data may also include images (e.g., barcodes, QR codes) or characters.

A lottery ticket vending machine configured to obtain code image data (such as bar code image data) from a leading lottery ticket in each of the lottery drawers in the lottery ticket vending machine, and use the code image data for activating or verifying activation of the lottery tickets loaded in the ticket drawers. This expedites the ticket loading process by eliminating the need for an operator to manually and / or separately scan a code (such as a bar code) for each ticket pack loaded into the ticket drawers.

Systems and methods for performing barcoding and machine vision with a single camera are disclosed herein. An example system includes an image sensor configured to capture low-resolution image data of a large field of view and high-resolution image data of a small field of view. A first data pipeline is configured to transmit the low-resolution image data to a first module configured to perform image processing on the low-resolution image data. A second data pipeline is configured to transmit the high-resolution image data to a second module configured to perform image processing on the high-resolution image data. Machine readable instructions cause the system to capture image data of the large field of view or the small field of view and the processor transmits either the low-resolution image data via the first data pipeline or the high-resolution image data via the second pipeline.