1213 results about "Barcode" patented technology

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.

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.

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.

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.

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.

Methods for determining a location of a feature on an array include: (a) providing a first array with a first plurality of features immobilized on a first substrate; (b) providing a second array with a second plurality of features immobilized on a second substrate; (c) aligning the first array with the second array; (d) hybridizing a first barcoded oligonucleotide of the first array to a second barcoded oligonucleotide of the second array, thereby producing a combined nucleic acid that includes first and second spatial barcodes; (e) determining all or a portion of the sequence of the combined nucleic acid; and (f) identifying the second barcoded oligonucleotide associated with the first barcoded oligonucleotide in the combined nucleic acid, and determining the location of a second feature in the second array.

The invention relates to the technical field of power equipment state monitoring, and discloses an AI-based power distribution switch arc fault prediction system, and the system carries out the persistent coherence analysis of dielectric response data collected by a sensing array through a topological feature extraction unit, and outputs a topological bar code representing an insulation degradation space structure. Further, a dynamic causal graph construction unit performs causal test on the topological characteristic time sequence to construct a dynamic causal graph for revealing the degradation evolution path; and finally, the fault evolution prediction unit adopts a space-time diagram neural network model to process the causal diagram sequence so as to realize accurate prediction of the fault probability and the degradation extension path. The system also integrates a closed-loop mechanism of adaptive excitation control and data verification correction. According to the method, topological data analysis and causal inference are deeply fused, the problems that a traditional method is low in precision and poor in interpretability are solved, and prediction accuracy, reliability and robustness are remarkably improved.

Methods for determining a location of a feature on a spatial array include (a) providing an array of features on a substrate, where a feature of the array includes a barcoded oligonucleotide having, in a 5′ to 3′ direction, a spatial barcode, a cleavage domain, and a constant sequence; (b) hybridizing a priming oligonucleotide to the constant sequence; (c) extending the priming oligonucleotide using the barcoded oligonucleotide as a template; and (d) determining all or a portion of a sequence of the extended priming oligonucleotide corresponding to the spatial barcode, or a complement thereof, and a location of the extended priming oligonucleotide, and using the location of the extended priming oligonucleotide to determine the location of the feature on the spatial array.

The invention relates to a high-throughput cis-acting element screening carrier and a screening method. Specifically, the invention provides a plasmid vector system containing bar codes, each bar code in the system is in one-to-one correspondence with a candidate cis-acting element, and the activation multiple of the candidate cis-acting element can be obtained by measuring the abundance of the bar codes; in order to eliminate the influence of a bar code on the vector on a detection result, an exogenous intron which can be cut off during transcription is inserted into a coding region in the vector and is used for distinguishing vector DNA and RNA obtained by transcription. The screening method of the biological cis-acting element has high efficiency, wide applicability and high throughput, and has outstanding application value in biological research and breeding.

The system and techniques disclosed herein perform advanced and automatic age verification. The age verification system (AVS) is designed for automated and accurate age-restricted access control and age verification for the sale of age-controlled products. For example, the AVS can be employed to perform age-verification to permit the legal sale / purchase of age-controlled products such as alcohol, tobacco, cannabis, and the like, and Also, the AVS can be used to control legal access to age-restricted areas such as casinos, movie theaters, bars, and the like. The AVS can include a scanner for scanning a barcode printed on an identification (ID) card, an application, and a computer unit having output devices for generating visual, audible, and electronic signals to view, alert, and control age-restricted entry and control the sale of age-controlled products. The AVS can include automatic door lock functionality that supports age-restricted access control.

The invention discloses a tire surface microcrack detection method and system based on multispectral imaging, and the method comprises the steps: receiving a multispectral polarization image sequence of a tire surface, and generating an initial stress feature tensor based on Mueller matrix decomposition; performing topological data analysis on the initial stress characteristic tensor, constructing a crack characteristic bar code, and decomposing the bar code structure into a plurality of persistent coherence groups; performing feature enhancement on the persistent coherent group by using a generative adversarial network, and generating a labeled training sample set; performing model training on the labeled training sample set on the basis of a visual Transform architecture to generate a micro-crack detection model; deploying the microcrack detection model, performing online reasoning on a multispectral image acquired in real time, performing crack shape parameterization in combination with a Hough forest algorithm, and generating a microcrack detection report including position, length and width. According to the embodiment of the invention, the accuracy and adaptability of microcrack detection can be improved.

The invention discloses a thermosensitive desktop barcode printer capable of adapting to various paper widths, the device comprises a printing seat and a pressing cover, a roll paper fixing piece and a paper feeding channel are arranged in the printing seat, a Bluetooth module used for being in control connection with a computer or a mobile terminal is arranged in the pressing cover, centering positioning blocks are arranged on two sides of the top of the paper feeding channel in a sliding manner; centering positioning clamps are arranged on the outer walls of the two sides of the roll paper fixing piece in a sliding mode, synchronous driving pieces are arranged between the centering positioning blocks and the centering positioning clamps, a driving rubber roller is arranged at the outer end of the paper feeding channel, and an anti-scraping and anti-tearing paper cutter is rotationally arranged at the position, located on the outer side of the driving rubber roller, of the bottom of the gland. The distance between the two sets of centering positioning blocks and the two sets of centering positioning clamps is adjusted through the synchronous driving piece to adapt to thermo-sensitive paper of different widths, meanwhile, the anti-scraping paper tearing knife can be made to tilt when the rubber roller is driven to rotate, the phenomenon that a printed object is scratched by a sawtooth-shaped paper tearing knife edge in the printing process is avoided, and meanwhile paper clamping is avoided.

The invention discloses an automatic product grabbing system and method, and relates to the technical field of industrial robots, in the system, an equipment body is provided with a grabbing station and a placing station, an inbound positioning assembly outputs an AGV tool vehicle in-place signal, and a jacking positioning assembly establishes a preset grabbing height; the visual positioning assembly collects an image output pose compensation amount, the bar code recognition assembly obtains a bar code and interacts with the manufacturing execution system to obtain a verification result, the controller issues the compensation amount to the industrial robot control end when verification is allowed, and an end effector is driven to complete positioning, locking and unlocking of grabbing locked by a tool vehicle clamp; the tray transferring and positioning mechanism completes transferring and positioning of the shipping tray, and the unlocking and locking mechanism unlocks / locks the locking block handle and conducts visual review in the placing process. By means of the technical scheme, the grabbing and placing alignment precision and the mistake proofing capacity are improved, the risks of collision, falling and locking omission are reduced, and the takt time stability and traceability are improved.

The invention relates to the technical field of bar code identification, and discloses a rapid image matching incomplete bar code accurate identification method, which comprises the following steps: carrying out image contrast enhancement processing based on bar code candidate area response on an incomplete bar code image; positioning a bar code area of the incomplete bar code image after contrast enhancement, and detecting and marking an incomplete area in the bar code area; carrying out inference and reconstruction processing on the incomplete area based on a bar code standard coding rule and a statistical redundancy mode; and carrying out identification decoding and redundancy check on the reconstructed bar code image. According to the method, through a multi-step processing mode of image contrast enhancement, incomplete area positioning and labeling, reconstruction based on coding rules and redundancy modes and identification verification, rapid and accurate identification of the incomplete bar code is realized, and under the condition that partial information of the bar code is missing, fuzzy and interfered, the bar code structure can still be effectively recovered, and the identification accuracy of the bar code is improved. And the accuracy, the stability and the robustness of bar code identification are obviously improved.

A transaction session is established directly or indirectly between a wearable processing device and a cloud-based server of a store. During the session, items are recognized by placing the items in a field-of-view of a front-facing camera of the device. Item recognition does not require item barcode identification. A depth sensor associated with the camera creates a three-dimensional mapping of a given item. The mapping and image features are processed to uniquely identify the item even when the item is associated with a same category of items. Customer input during the session can be achieved through gestures (hand, eyes, head, fingers, etc.) and / or voice commands. The customer input is translated and mapped into transaction interface commands / options and processed during the session to select items, delete items, view a transaction receipt, identify a quantity of items, obtain item details for a given item, etc.

A method for preparing a polynucleotide sample for sequencing is disclosed. The method involves preparing a fractionated amplified sequencing library in which each polynucleotide comprises a first indexing barcode at a first end but not a second end.

Examples provide a smart bagging station including a halo array of sensor devices generating sensor data associated with a detection zone surrounding the smart bagging station. The smart bagging station includes barcode scanners in a curved arrangement within a recessed sensor device housing located behind a bagging device. As a user places an item into a bag, the item is automatically scanned by the barcode scanners without re-orienting the item or passing it across a scanning sensor. Other sensor devices, including RFID tag readers, cameras, and / or weight sensors are located at multiple locations above the bagging device, below the bagging device, on the sides of the bagging device, and / or behind the bagging device creating a detection zone encompassing the bagging area. Items within the detection zone are automatically identified using different types of sensor data without requiring the manual scanning for faster and more efficient checkout.

The invention discloses a ship cargo checking method and system based on multi-device cooperation. The method comprises the following steps: acquiring code scanning data for target cargoes sent by multiple operators; determining a first movement parameter corresponding to the target cargo according to real-time sensing data corresponding to a cargo area where the target cargo is located; determining a second movement parameter corresponding to the target cargo according to the plurality of code scanning data; according to the first movement parameter and the second movement parameter, determining a credibility parameter corresponding to cargo information corresponding to the target cargo; the credibility parameter is used for indicating the credibility degree of the cargo information. Therefore, the cargo information error caused by data deviation or man-made malicious operation can be effectively reduced, the accuracy of ship cargo management and the logistics credibility are improved, and the efficiency of cargo tracking and inventory management is optimized.

Hand wearable support for a bar code scanner comprises back and front sides. The front side includes a V-member, first and second harness straps attached thereto extending away from each other at an angle, and means along the V-member for releasably attaching the front to the back side of the support which further comprises a back of the hand portion, a thumb portion, a trigger attachment portion, and first and second strap attachment portions each including a buckle. The first and second harness straps of the front side include a tongue portion for threading through the first and second buckle and folding back to releasably attach to itself. Releasable attachment of a trigger device, bar code scanner attachment, and bar code scanner to trigger attachment portion, bar code scanner attachment portion, and bar code scanner attachment portion, respectively, forms a bar code scanner assembly in the form factor of a support wearable by a user to perform scanning operations.

The invention discloses a dynamic layout method and system for washing label printing and a medium, and the method comprises the steps: obtaining definition data of a draft template, including initial attributes of a plurality of layout elements; determining a rendering sequence of the layout elements; constructing a dependency relationship among the layout elements based on the rendering sequence, wherein the dependency relationship is used for identifying a response element corresponding to each layout element; obtaining label data to be rendered, wherein the label data comprises multi-language text data and variable data; traversing the layout elements in sequence, and performing line feed processing on the text elements based on the corresponding multi-language text data to determine the actual occupation height of the text elements; for the bar code element, performing centering positioning processing based on the corresponding variable data, and determining the horizontal position of the bar code element; identifying the trigger element with the actual occupation height different from the initial occupation height; calculating the placeholder height variation of the trigger element, and dynamically adjusting the vertical coordinate of the response element corresponding to the trigger element based on the dependency relationship and the placeholder height variation; and generating and outputting a printed draft of the washing label.

The utility model discloses a quick detection express sorting device, which comprises a conveyor belt, a detection device and a sorting section, the conveyor belt consists of a feeding conveyor belt, an acceleration pull distance conveyor belt and a detection conveyor belt, and the detection device is provided with two bar code scanners and a volume camera. The two barcode printers are arranged on the two fixing columns on the two sides of the detection conveying belt respectively, the volume camera is arranged on the volume detection structure between the two fixing columns, the sorting section is provided with a balance wheel capable of steering express items, and the detection equipment is connected with the sorting section through a circuit. According to the express sorting device, the express is subjected to code scanning of the two bar code scanners and volume detection of the volume camera at the same time, preliminary classification of the express is achieved, and follow-up sorting of the express is facilitated.

The present application discloses an abnormal shopping behavior detection method, apparatus and system for a shopping cart, and a shopping cart. The method comprises: acquiring barcode scanning data of a barcode scanner and action data in a basket area detected by an action monitoring apparatus in the basket area; when it is determined, on the basis of the barcode scanning data, that a shopping action occurs, issuing a first image capture triggering signal; when it is determined, on the basis of the action data, that a shopping action occurs in the basket area, issuing a second image capture triggering signal; when it is determined, on the basis of the first image capture triggering signal and / or the second image capture triggering signal, that a shopping action occurs, triggering a visual image data acquisition apparatus to acquire video frame image data of a shopper during a shopping process; on the basis of the video frame image data, determining the shopping action type of the shopper and the number of commodities in a moving state; and on the basis of barcode scanner data, the shopping action type and the number of commodities, detecting whether the shopper has an abnormal shopping behavior.

Provided herein are methods of interrogating spatial gene expression in a sample using substrates having sequencing pores. The disclosed methods allow for spatial analysis of analytes from biological samples using a pore-based sequencing approach and without the need for a barcoded spatial array. In some embodiments, an analyte or intermediate agent thereof, is released from a biological sample and directly sequenced by traversing through pores of a sequencing array including a plurality of pores, e.g., nanopores. In some embodiments, light or other stimuli is used to release an analyte or intermediate agent thereof from a specific region of interest in the biological sample followed by sequencing using sequencing array including a plurality of pores.

An inventory management system for a fulfillment center that supports rapid scanning of inventory items using a handheld electronic device. The system comprises a processor, a non-transitory memory storing a plurality of inventory transaction tables, a data verification table, and a committed transaction table, an inventory application stored in the non-transitory memory that, when executed by the processor receives a plurality of scanned code inputs from a mobile application executing on a handheld scanner, writes each received scanned code input into an inventory transaction table, processes each received inventory transaction table, writes processed asset transactions to the data verification table, and in response to receiving a command to commit processed asset transactions, committing processed asset transactions to the committed transaction table.

The invention discloses a blurred bar code image processing method and system fused with super-resolution restoration, and relates to the technical field of bar code image restoration, and the method comprises the four steps: firstly, extracting the frequency domain and texture complexity index of a target blurred bar code image, and achieving the automatic classification of dynamic, defocusing and Gaussian blur, and exclusive denoising; building a double-branch feature extraction network, extracting a structure and texture feature map, and generating a cross-scale fusion feature map; outputting a bar code image restoration first draft; and finally, constructing a dual-objective loss function for iterative optimization, and outputting a final clear image. The beneficial effects of the method are that multi-dimensional feature classification enables fuzzy type identification to be accurate, and exclusive denoising lays a high-quality foundation for subsequent restoration; the multi-modal feature fusion is combined with the layered super-resolution technology, a double-target loss function and a closed-loop verification mechanism ensure that the final image can be stably decoded, and the method is suitable for mainstream barcode types and has high practical value in industrial barcode recognition scenes.

The invention relates to the technical field of image recognition, in particular to a low-resolution food packaging image recognition method and system and a medium, and the method mainly comprises the steps of low-sampling physical degradation modeling, pseudo-super-resolution guide structure perception, dynamic recognition trunk processing, semantic prior guide recognition and collaborative loss optimization. Through physical sampling inverse modeling, key structure information, such as characters and bar codes, in a low-resolution image is effectively recovered, and artifact interference is avoided; through dynamic time sequence modeling, the Mama-Core backbone network dynamically captures the local and global relation of the image through state space modeling, the target recognition precision of the low-resolution image is improved, based on the method, the traditional normal form of super-resolution first and then recognition is broken through, and the recognition accuracy is greatly improved.

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 low-contrast barcode recognition system, and relates to the technical field of deep learning algorithms, the system comprises an image acquisition module, a multi-level feature fusion module, a self-adaptive contrast enhancement module, a dynamic threshold value distribution module and an anti-interference decoding module, by setting an environment perception fusion end, when low-contrast barcode recognition is carried out, the self-adaptive contrast enhancement module and the dynamic threshold value distribution module are combined, and the low-contrast barcode recognition efficiency is improved. By establishing a linkage mechanism of backlight brightness level and feature extraction, the influence of environment illumination change on a bar code image is sensed in real time, a neighborhood window size and a shear strength parameter can be dynamically adjusted, the problem that a bar code boundary is blurred and fractured due to a fixed threshold value in a reflective and backlight environment of a traditional system is solved, and the quality of a bar code is improved. The distinguishing degree of the bar code module and the background is enhanced, the accuracy of bar code recognition in a low-contrast scene is ensured, the error recognition rate is reduced, and accurate alignment of bar code recognition positions is ensured by constructing an alternative correction path when a positioning mark is missing and analyzing the aspect ratio feature and the spatial distribution rule of the bar code module in real time.