1934 results about "Barcode" patented technology

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 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 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.

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.

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.

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.

An apparatus, computing device, computer program product, and a computer-implemented method for delivering financial services within a secure, authenticated network environment, and more particularly, for facilitating a quick and efficient manner of performing a mobile deposit of a financial instrument using a distinctive two-dimensional, machine-readable barcode displayed on a surface of the financial instrument. The two-dimensional, machine-readable barcode contains mobile deposit data that includes client PII, and financial data.

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 present invention, among other things, provides technologies for detecting and / or quantifying nucleic acids in cells, tissues, organs, or organisms. Pre-designed barcodes are associated with specific molecular targets through sequential hybridization experiments. A pseudo-color based barcoding scheme is described that overcomes the limitations in the previous generation of the technology. The current method can be applied to both in vitro and in situ analysis.

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

Methods for determining a location of a feature in a spatial array with features include: (a) providing an array with a first set of one or more features immobilized on a substrate, a first feature of the first set having a first barcoded oligonucleotide with a first spatial barcode and a first constant sequence, and a second set of one or more features immobilized on the substrate, a second feature of the second set having a second barcoded oligonucleotide with a second spatial barcode and a second constant sequence; (b) attaching the first constant sequence to the second constant sequence to generate a nucleic acid product; (c) determining all or a portion of a sequence of the nucleic acid product or a complement thereof; and (d) associating the second barcoded oligonucleotide with the first barcoded oligonucleotide in the nucleic acid product.

The invention discloses a bar code scanning data rapid transmission method based on edge calculation, and the method comprises the following steps: S1, collecting bar code data, and packaging the bar code data into a bar code data package; s2, sending the barcode data packet to an edge computing node; s3, carrying out preprocessing by the edge computing node; s4, constructing and managing a multi-task scheduling queue in the edge computing node; s5, the edge computing node collects network state parameters and generates a network score value; s6, when the network score value is smaller than the network score threshold value, performing compression and encapsulation by adopting a content awareness compression coding mechanism; s7, when the network score value is greater than or equal to the network score threshold value, starting a delay synchronization mechanism; and S8, the cloud server receives, executes processing and returns to the edge computing node. According to the method, edge calculation and content perception compression are fused, efficient scheduling and reliable transmission of bar code data are realized, and the method has the advantages of high real-time performance, weak network resistance and efficient transmission.

The invention discloses an electronic lottery system based on an electronic signature and process data storage technology, and relates to the technical field of lottery systems. Comprising a lottery buyer betting client which receives betting information (lottery types, period numbers and number selection schemes) of lottery buyers through a standard betting control, generates a betting order containing a timestamp and a dynamic information code (a two-dimensional code / bar code, and the time efficiency is 60 seconds), and synchronously collects user real-name authentication information and betting behavior data (operation time and number selection records). A thermo-sensitive paper bill is replaced by the electronic certificate, so that the problem of certificate damage caused by environmental factors is avoided; by combining the electronic signature and the block chain evidence storage technology, tampering-free evidence storage of the voucher hash value is realized, counterfeiting and tampering risks are effectively prevented, and awarding disputes are reduced.

The present disclosure relates in some aspects to methods for analyzing target nucleic acids and their spatial locations in a biological sample using Argonaute proteins. In some aspects, a barcode probe library comprising a plurality of probes each comprising a plurality of barcode subunits that identifies a target analyte is detected in situ in the sample. Also provided are compositions and kits for use in accordance with the methods.

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 relates to the technical field of image exposure, in particular to an image exposure system of code scanning equipment. The system comprises a CMOS chip which is internally provided with an automatic exposure unit and is used for collecting images and counting the brightness mean value of each frame of image; wherein the CMOS chip acquires an image in a first mode in a stop stream state, and acquires an image in a second mode in a start stream state; and the processor is used for executing an automatic exposure algorithm on the brightness mean value corresponding to the last frame of image in the stop stream state to generate a corresponding exposure parameter, and then transmitting the exposure parameter to the CMOS chip as an initial exposure parameter when the CMOS chip exposes the first frame of image in the start stream state. In the stop stream state, the brightness statistics is performed through the low-resolution image, and the brightness mean value of the last frame of image is used as the exposure basis of the first frame of image in the start stream state, so that the number of image frames required by image convergence to exposure stability is remarkably reduced, and the code scanning response speed is improved.

An electromechanical Smart Lock is unlocked by the Smart Lock timely receiving a time sensitive access-code that solves a cryptographic hash algorithm (e.g., SHA-3 or the like) running on that Smart Lock. To enable this functionality, the Smart Lock knows at least three items of information: status of a countdown timer, its cryptographic hash algorithm, and its unique identifier. Further, the Smart Lock may have various elements for receiving the time sensitive access-code, such as, but not limited to, a QR code camera, a barcode scanner, a camera, a microphone, a keypad, and / or optionally, an antenna(s) / radio(s) for RFID / NFC inputs to the Smart Lock. Server(s) may also know the same three items of information for each given Smart Lock; and the Server(s) may provide time sensitive access-codes to (authorized) user(s) and / or to their devices. Users may request, receive, and / or send the time sensitive access-codes via text messaging (or other elements).

A single-serve capsule for preparing a beverage with the aid of a beverage preparation machine is proposed, the single-serve capsule having a base element with a cavity for receiving a beverage raw material, and a lid element closing the cavity, the base element comprising a bottom region, an encircling flange at the end opposite the bottom region and a capsule wall extending from the bottom region to the encircling flange, wherein the single-serve capsule has an optically detectable identification code, in particular a bit code and / or barcode, wherein either the optically detectable identification code is arranged on the side of the flange facing the bottom region, or the lid element is fastened to the flange.

The embodiment of the invention provides a two-dimensional code quality detection method and device, equipment and a storage medium, and relates to the technical field of barcode detection. The method comprises the following steps: acquiring a two-dimensional code grayscale image of an identification area; cutting the two-dimensional code grayscale image to obtain an initial recognition image; performing non-uniform illumination correction, size correction and nonlinear correction on the initial recognition image based on the calibration data, and performing Gaussian filtering processing on the corrected initial recognition image to generate a target recognition image; and performing quality grading processing on the target identification image according to the quality characteristic parameter of the target identification image to determine the quality grade of the two-dimensional code. According to the method provided by the invention, through non-uniform illumination correction, size correction and non-linear correction and in combination with Gaussian filtering processing, the quality of the two-dimensional code recognition image can be improved, the influence of environmental factors on the image quality is reduced, and the problems of high misjudgment rate and poor reliability in a complex scene are solved.

A frictionless checkout system identifies items in retail transactions using multiple cameras and image processing. Ceiling-, bagging area- and / or shelf-mounted cameras capture video frames of items in a shopping cart from different perspectives to form an initial list of items associated with a shopper. A bagging-area camera captures video frames as items are removed from the cart and placed into bags. An image processing system, comprising object segmentation, digital watermark reading, and complementary methods such as barcode detection and object recognition, identifies the items and updates a transaction tally. Prior to unloading, the system maintains a global state of items and their positions in the cart. As items are removed, changes in this state are detected and verified at the bagging area. The system provides real-time identification, reduces manual scanning, and generates alerts when items detected in the cart are not added to the transaction tally.

The invention relates to the technical field of ecological environment monitoring, in particular to a grassland environment resource database construction method, which comprises the following steps of: arranging a multi-modal sensor in a fractal multi-scale grid and synchronously collecting; obtaining a standard frame by adopting quantum random walk compression and space-time registration; extracting a topological bar code through neuromorphic pulse coding and persistent coherent topology analysis, and generating a unified potential space tensor and a missing mask in combination with weighted mutual attention and optimal transmission; constructing an energy function containing carbon and nitrogen conservation and topological deviation, and reconstructing a complete ecological submerged space tensor through Hamiltonian Monte Carlo-diffusion combined sampling; ecological indexes and abnormal events are reasoned in the Shenchang differential graph database, sampling scheduling is driven by prediction errors, closed-loop updating of data, models and sampling is achieved, and therefore the grassland monitoring precision and early warning timeliness are improved.

A transaction card, a computing device, a computer program product, a computer-implemented system, and a computer-implemented method for delivering financial services and, more particularly, facilitating client device authentication via a two-dimensional, machine-readable barcode (e.g., a quick response (QR) code) containing a link to facilitate an automatic launch of a financial institution mobile application and client authentication credentials that facilitates authenticated client device access to one or more client financial accounts maintained by the financial institution.

The invention discloses a method and system for identifying a digital bar code, and relates to the technical field of image identification and digital character identification, and the method comprises the steps: generating a digital code according to sample identification information, and setting typesetting parameters to generate a bar code image. And obtaining a bar code image, and executing a preprocessing process based on image quality control. And executing character recognition and structure decoding, and generating a structured data result after verification. According to the method disclosed by the invention, a set of digital bar code recognition system which is oriented to a complex sample environment and has a structure recognition capability and a result verification capability is constructed. The method is suitable for digital identification management scenes of various experimental samples, medical samples and industrial parts, has remarkable universality, deployability and intelligent identification level, is a technical advance for traditional graphic bar codes and OCR (optical character recognition), and has remarkable technical advancement and industrial application value.

The invention relates to the technical field of torque sampling inspection, in particular to an intelligent mechanical torsion control method and system. Comprising the following steps: dynamically binding a plurality of intelligent wrenches to a specified station through a system server, namely distributing an independent IP and a communication port for each wrench, and establishing a three-dimensional mapping relationship among an operator account, a station number and a wrench serial number; constructing a dynamic torque calibration model based on the environmental parameters and the equipment state, and correcting the original measurement value of the wrench in real time; uploading a tracking card number to a server through a station code scanning gun, and establishing a binding relationship between the tracking card number and a station number; the intelligent wrench uploads real-time tightening data through a multi-path redundancy transmission mechanism, and the server associates and stores the data with the station number and the tracking card number; and dynamically distributing a process program sequence according to the historical efficiency of the station, and issuing the process program sequence to the wrench for execution through the handheld controller. The scheme provides a novel torsion management and control system with dynamic resource scheduling, total element data connection and intelligent process adaptation.

The invention relates to an intelligent integrated medicine dispensing method and system, and the method comprises the steps: obtaining the prescription information of a target patient, obtaining the image data and bar code data of a to-be-dispensed medicine, carrying out the combined matching verification based on an image recognition result and a bar code analysis result, and recognizing a target medicine matched with a prescription medicine; judging whether a potential drug risk exists in the current prescription or not by utilizing a knowledge graph reasoning mechanism, and generating a dosage adjustment suggestion when the risk is detected; based on medicine components contained in the prescription information of the target patient, performing medicine classification processing, judging whether the medicine components have a cross-sharing relationship with other temporarily stored prescription medicines, and if the cross-sharing relationship exists, constructing a list of medicines to be dispensed; and for the compound medicine components contained in the list to be dispensed, completing dose disassembly and recombination processing among the compound components according to a preset proportioning logic to generate a compound dispensing result. The method has the effect of improving the automation precision of compound dispensing.