21st week of 2021 patent applcation highlights part 47 |
Patent application number | Title | Published |
20210158029 | ACTION-ESTIMATING DEVICE | 2021-05-27 |
20210158030 | ACCESSIBILITY FEATURES FOR MONITORING SYSTEMS - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for integrating a monitoring system with accessibility features. The method includes: receiving data from a sensor of a monitoring system that is configured to monitor a property; determining, based on the data received from the sensor, that a user located at the property exhibits symptoms of an impairment; determining that an event likely occurred at the property; determining a monitoring system action to perform in response to the event; modifying, based on determining that the user located at the property exhibits symptoms of the impairment, the monitoring system action; and performing the modified monitoring system action. | 2021-05-27 |
20210158031 | Gesture Recognition Method, and Electronic Device and Storage Medium - The present disclosure relates to a gesture recognition method, a gesture processing method, and apparatuses. The gesture recognition method includes: detecting the states of fingers included in a hand in an image; determining a state vector of the hand according to the states of the fingers; and determining the gesture of the hand according to the state vector of the hand. In embodiments of the present disclosure, the state vector is determined according to the states of the fingers, and the gesture is determined according to the state vector, thereby achieving high recognition efficiency and strong universality. | 2021-05-27 |
20210158032 | SYSTEM, APPARATUS AND METHOD FOR RECOGNIZING MOTIONS OF MULTIPLE USERS - A method of recognizing motions of a plurality of users through a motion recognition apparatus includes acquiring a plurality of depth images from a plurality of depth sensors disposed at different positions, extracting user depth data corresponding to a user area from each of the plurality of depth images, allocating a label ID of each user to the extracted user depth data; matching the label ID for each frame of the depth images, and tracking a joint position for the user depth data on the basis of a result of the matching. | 2021-05-27 |
20210158033 | METHOD AND APPARATUS OF GAME STATUS DETERMINATION - A video capture and processing system includes a memory configured to store a pose database. The pose database includes poses that indicate a start or stoppage in an event. The system also includes a processor operatively coupled to the memory. The processor is configured to generate a pose of an individual in a video frame of captured video of the event. The pose can be three-dimensional pose or a two-dimensional pose. The processor is also configured to determine, based on the pose database, whether the pose of the individual indicates a start or a stoppage in the event. The processor is further configured to control an upload of video of the event based on the determination of whether the pose indicates the start or the stoppage in the event. | 2021-05-27 |
20210158034 | METHOD FOR TABLE EXTRACTION FROM JOURNAL LITERATURE BASED ON TEXT STATE CHARACTERISTICS - A method for table extraction from journal literature based on text state characteristics is disclosed. The method includes: constructing a table model according to characteristics of tables in journal literature, where the table model includes two parts: a table caption and table content, building a text line set, table detection, table data positioning, table reconstruction, building a cell data set, restoring data of merged cells, checking the cell data set, and outputting table data. The method is particularly designed based on characteristics of tables such as three-line tables widespread in PDF journal literature, which can realize accurate and correct extraction of specific tables in the PDF journal literature, and especially can ensure a logic relationship of a three-line table. The whole process neither requires manual intervention or interaction nor requires table selection, so that the whole extraction process is automatic. | 2021-05-27 |
20210158035 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR AUTOMATIC REMOTE VERIFICATION OF IDENTITY DOCUMENTS - System differentiating “legitimate” images generated by scanning physical documents from “forged” document images, the system comprising a trained classifier, configured to sort a stream of incoming images into two classes including a first (“legitimate”) class of images generated by scanning physical documents; and a second (“forged”) class of images including images at least partly generated by a graphics editor rather than by scanning a physical document; and an output device operative to present, to an end-user, an output identifying, for at least one image I, whether said image I belongs to said first class or said second class; and an output device configured, responsive to classifications generated by the trained classifier, to provide an output indication of whether each of a plurality of images is generated by scanning a physical document, or is at least partly generated by a graphics editor. | 2021-05-27 |
20210158036 | DATABASES, DATA STRUCTURES, AND DATA PROCESSING SYSTEMS FOR COUNTERFEIT PHYSICAL DOCUMENT DETECTION - Methods, systems, and apparatuses, including computer programs, for counterfeit document detection. In one aspect, a method includes obtaining first data representing a first image, providing the obtained first data as an input to a machine learning model that has been trained to determine whether data representing an input image deviates from data representing one or more images of a physical document printed in accordance with a particular anticounterfeiting architecture, obtaining second data that represents output data generated, by the machine learning model, based on the machine learning model processing the obtained first data as an input, determining, based on the obtained second data, whether the first image deviates from data representing one or more images of a physical document printed in accordance with a particular anticounterfeiting architecture, and storing third data indicating that a document, from which the first image was obtained, is a counterfeit document. | 2021-05-27 |
20210158037 | COMMUNICATIONS SYSTEM - An electronic communications method, includes receiving, by a computing device, first electronic information associated with generated a graphical feature in a graphical user interface. The electronic communications method further includes generating, by the computing device, the graphical feature. The electronic communications method further includes sending, by the computing device, the graphical feature to another computing device. The electronic communications method further receiving, by the computing device, second electronic information to classify the graphical feature as public information. The electronic communications method further includes sending, by the computing device, the graphical feature to a third computing device based on the classification of the graphical feature as public information. | 2021-05-27 |
20210158038 | METHODS, SYSTEMS, APPARATUS AND ARTICLES OF MANUFACTURE FOR RECEIPT DECODING - Methods, apparatus, systems and articles of manufacture are disclosed for receipt decoding. An example apparatus for processing a receipt associated with a user disclosed herein includes an optical character recognition engine to generate bounding boxes, respective ones of the bounding boxes associated with groups of characters detected in the receipt, the bounding boxes including a first bounding box, a second bounding box and a third bounding box, a word connector to connect the first bounding box to the second bounding box based on (1) an adjacency of the first bounding box to the second bounding box and (2) a difference value from a comparison of a location of the first bounding box to a location of the second bounding box, a line connector to form a line of the ones of the bounding boxes by connecting the third bounding box to the second bounding based on a relationship between the first bounding box and the second bounding box, the line of the ones of the bounding boxes indicative of related receipt fields, and a creditor to generate a report based on the line. | 2021-05-27 |
20210158039 | MANAGING PHYSICAL OBJECTS USING CRYPTO-ANCHORS - A computer-implemented method, a computer system, and a computer program product for managing physical objects. A computer system associates a physical object of a set of physical objects with an object identifier. The computer system obtains a digital fingerprint, from a unique physical property of the physical object, wherein the digital fingerprint is impacted by the unique physical property. The computer system obtains a dataset from the object identifier and the digital fingerprint. The computer system cryptographically signs the dataset to obtain a signature. The computer system instructs to store the object identifier and the signature on a data storage device. | 2021-05-27 |
20210158040 | AUTOMATED TOOL DATA GENERATION IN AUTOMATED ASSET MANAGEMENT SYSTEMS - An asset management system automatically generates and updates tool data stored in and used by the system for determining the presence or absence of tools or other inventory objects in the systems. The tool data can be automatically generated when a tool is newly added to the automated asset management system, and can be updated if and when characteristics of the tool and/or automated asset management system change. The automatic generation and updating includes automatically recognizing unique identifiers of tags located on inventory objects, automatically identifying an inventory object to associate with each unique identifier, and automatically populating a database to store each unique identifier in association with stored data for the corresponding inventory object. | 2021-05-27 |
20210158041 | APPARATUS AND METHOD FOR AGRICULTURAL DATA COLLECTION AND AGRICULTURAL OPERATIONS - Aspects of the subject disclosure may include, for example, obtaining video data from a single monocular camera, wherein the video data comprises a plurality of frames, wherein the camera is attached to a mobile robot that is travelling along a lane defined by a row of crops, wherein the row of crops comprises a first plant stem, and wherein the plurality of frames include a depiction of the first plant stem; obtaining robot velocity data from encoder(s), wherein the encoder(s) are attached to the robot; performing foreground extraction on each of the plurality of frames of the video data, wherein the foreground extraction results in a plurality of foreground images; and determining, based upon the plurality of foreground images and based upon the robot velocity data, an estimated width of the first plant stem. Additional embodiments are disclosed. | 2021-05-27 |
20210158042 | AGRICULTURAL PATTERN ANALYSIS SYSTEM - A pattern recognition system including an image gathering unit that gathers at least one digital representation of a field, an image analysis unit that pre-processes the at least one digital representation of a field, an annotation unit that provides a visualization of at least one channel for each of the at least one digital representation of the field, where the image analysis unit generates a plurality of image samples from each of the at least one digital representation of the field, and the image analysis unit splits each of the image samples into a plurality of categories. | 2021-05-27 |
20210158043 | SYSTEMS AND METHODS FOR PANOPTIC IMAGE SEGMENTATION - Systems and methods for panoptic image segmentation are disclosed herein. One embodiment performs semantic segmentation and object detection on an input image, wherein the object detection generates a plurality of bounding boxes associated with an object in the input image; selects a query bounding box from among the plurality of bounding boxes; maps at least one of the bounding boxes in the plurality of bounding boxes other than the query bounding box to the query bounding box based on similarity between the at least one of the bounding boxes and the query bounding box to generate a mask assignment for the object, the mask assignment defining a contour of the object; compares the mask assignment with results of the semantic segmentation to produce a refined mask assignment for the object; and outputs a panoptic segmentation of the input image that includes the refined mask assignment for the object. | 2021-05-27 |
20210158044 | DOCUMENT AUGMENTED AUTO COMPLETE - A field-of-view of a scene is scanned by an augmented reality device. The scene includes one or more objects including a first computing device. A portion of an electronic document is detected based on the scanned field-of-view. The portion of the electronic document is rendered on a display of the first computing device. A content element of the electronic document that is rendered on the display is captured. A second computing device determines an incomplete portion of the content element. A suggestion to complete the incomplete portion is provided by the augmented reality device. | 2021-05-27 |
20210158045 | IMAGE MARKUPS - In one example, a computing device for image markups can include a processing resource and a non-transitory memory resource storing instructions executable by the processing resource to: convert an image from a first format to a second format, display the image in the second format to receive a markup, and convert the markup from the image in the second format to the image in the first format based on location information of the image in the first format. | 2021-05-27 |
20210158046 | Camera Platform and Object Inventory Control - Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device. | 2021-05-27 |
20210158047 | SYSTEM AND METHOD FOR INTELLIGENT PRIORITIZATION OF MEDIA RELATED TO AN INCIDENT - Techniques for prioritization of media related to an incident are provided. Confirmed incident related media may be retrieved, the confirmed incident related media having been confirmed as being associated with the incident. Artifacts of interest may be identified in the confirmed incident related media. Presence of the artifacts of interest in a plurality of received media may be determined. The plurality of received media may be prioritized based on the presence of the artifacts of interest. | 2021-05-27 |
20210158048 | IMAGE-BASED ABNORMAL EVENT DETECTION - Methods and systems for image-based abnormal event detection are disclosed. An example method includes obtaining a sequential set of images captured by a camera; generating a set of observed features for each of the images; generating a set of predicted features based on a portion of the sets of observed features that excludes the set of observed features for a last image in the sequential set of images; determining that a difference between the set of predicted features and the set of observed features for the last image in the sequential set of images satisfies abnormal event criteria; and in response to determining that the difference between the set of predicted features and the set of observed features for the last image in the sequential set of images satisfies abnormal event criteria, classifying the set of sequential images as showing an abnormal event. | 2021-05-27 |
20210158049 | APPARATUS AND METHOD FOR ASSOCIATING IMAGES FROM TWO IMAGE STREAMS - An apparatus configured to, based on first imagery ( | 2021-05-27 |
20210158050 | METHODS, SYSTEMS, AND MEDIA FOR DETECTING TWO-DIMENSIONAL VIDEOS PLACED ON A SPHERE IN ABUSIVE SPHERICAL VIDEO CONTENT - Methods, systems, and media for analyzing spherical video content are provided. More particularly, methods, systems, and media for detecting two-dimensional videos placed on a sphere in abusive spherical video content are provided. In some embodiments, the method comprises: receiving an identifier of a spherical video content item, wherein the spherical video content item has a plurality of views; selecting a first frame of the spherical video content item; projecting the first frame of the spherical video content item to a two-dimensional region using a projection defined by a mapping according to which neighboring points of the first frame are mapped to respective neighboring points of the region, and one or more contiguous portions of the frame are each mapped to a corresponding plurality of contiguous portions of the region; identifying an area within the region which meets a criterion indicative of the region having a likelihood above a threshold of including a particular type of content; in response to identifying the area within the region which meets the criterion, analyzing the identified area of the region using a video fingerprinting technique; and, in response to determining that content associated with the identified area of the region matches a reference content item of a plurality of reference content items using the video fingerprinting technique, generating an indication of the match in association with the identifier of the spherical video content item. | 2021-05-27 |
20210158051 | DRAW WIRE ENCODER BASED HOMOGRAPHY - A sensor calibration system configured to receive a first frame of one or more markers on a repositionable platform at a first location within a space from a sensor. The system is further configured to determine pixel locations in the first frame for a first marker and a second marker from among the one or more markers. The system is further configured to receive distance information that corresponds with a distance between the platform and distance measuring devices. The system is further configured to determine (x,y) coordinates for the first marker and the second marker based on the distance information. The system is further configured to generate a homography based on the (x,y) coordinates and pixel locations of the first marker and the second marker. The homography includes coefficients that translate between pixel locations in the first frame of the sensor and (x,y) coordinates in the global plane. | 2021-05-27 |
20210158052 | EVENT TRIGGER BASED ON REGION-OF-INTEREST NEAR HAND-SHELF INTERACTION - An image sensor is positioned such that a field-of-view of the image sensor encompasses at least a portion of a rack storing items. The image sensor generates angled-view images of the items stored on the rack. A tracking subsystem determines that a person is within a threshold distance of the rack and receives image frames of the angled-view images. A pixel position of a wrist of the person is determined in at least a subset of the received image frames, thereby determining a set of pixel positions of the wrist. An aggregated wrist position is determined based on the set of pixel positions. If the aggregated wrist position is determined to correspond to a position on a shelf of the rack, a trigger signal is provided indicating a shelf-interaction event has occurred. | 2021-05-27 |
20210158053 | CONSTRUCTING SHOPPER CARTS USING VIDEO SURVEILLANCE - A system can visually track which items in a store are selected for purchase by a shopper. The system can form a virtual shopping cart by analyzing multiple images, over time, to determine which purchasable items are located with the shopper, such as in a physical shopping cart, in a basket, or held by the shopper. By analyzing multiple images, over time, the system can account for items misidentified in one or more images, or fully or partially obscured in one or more images as the shopper traverses the store. Alternatively, the system can form a virtual shopping cart by analyzing instances in which a purchasable item is removed from a shelf or placed on a shelf. Items removed from, but not returned to, a shelf can be considered to be selected for purchase. The system can include a frictionless checkout that charges the shopper for the selected items. | 2021-05-27 |
20210158054 | VIRTUAL SENSORS - Virtual sensor technology, in which a camera is controlled to capture at least one configuration image of an area monitored by a monitoring system and input is received that defines one or more characteristics of the at least one configuration image that enable sensing of an event in the area. Based on the received input, configuration data used in sensing the event is generated and stored. After storage of the configuration data, the camera is controlled to capture one or more images of the area, the one or more images are analyzed based on the configuration data, and occurrence of the event is detected based on the analysis of the one or more images. Based on detecting occurrence of the event, a transmitting device is controlled to send, to a controller of the monitoring system, a signal that indicates the detection of the occurrence of the event. | 2021-05-27 |
20210158055 | Frictionless and Autonomous Activity and Behavioral Monitoring - Individuals, business transactions, and business activities are monitored for actions and behaviors of the individuals during performance of establishment processes through video feeds captured by cameras, sensor data captured by sensors, and information captured by transaction systems. Transaction/activity information associated with transactions/activities being processed by a transaction system of the establishment or performed by individuals within the establishment are monitored. The actions, behaviors, transaction information, activity information, and establishment processes are correlated to process controls, policies, and procedures of the establishment and logged. Non-compliant actions, behaviors, transaction information, activity information, and/or transaction/activity thresholds generate real-time remedial actions, such as audits, training, and notifications. In an embodiment, an interface is provided for mining, correlating, searching, and reporting the logged data with respect to specific types of transactions/actions. In an embodiment, the logged data is automatically formatted in a target format and provided to an automated system for consumption. | 2021-05-27 |
20210158056 | MOOD-BASED RISK ASSESSMENT OF INDIVIDUALS OF A CROWD IN A PUBLIC SPACE - Methods and systems for crowd surveillance in a public space are provided. The public space has one or more entry points each associated with a corresponding entry zone. Using an entry sensor network, each individual accessing the public space through one of the entry zones is tagged. Each tagged individual is then tracked using the entry sensor network and an interior sensor network. A mood analysis based on data acquired by at least the entry sensor network is performed and includes evaluating at least one physiological or behavioral parameter representative of an emotional state of the individual. A mood-based risk assessment of the individual is then performed based on the mood analysis. | 2021-05-27 |
20210158057 | PATH ANALYTICS OF PEOPLE IN A PHYSICAL SPACE USING SMART FLOOR TILES - In some embodiments, a method is disclosed for analyzing a path of an object over a time series in a physical space. The method includes receiving, at a first time in the time series from a device in the physical space, first data pertaining to an initiation event of the path of the object in the physical space. The method also includes receiving, at a second time in the time series from one or more smart floor tiles in the physical space, second data pertaining to a location event caused by the object in the physical space. The location event includes an initial location of the object in the physical space. The method also includes correlating, via a processing device, the initiation event and the initial location to generate a starting point of the path of the object in the physical space. | 2021-05-27 |
20210158058 | IMAGE-BASED THREE-DIMENSIONAL LANE DETECTION - Systems and methods to perform image-based three-dimensional (3D) lane detection involve obtaining known 3D points of one or more lane markings in an image including the one or more lane markings. The method includes overlaying a grid of anchor points on the image. Each of the anchor points is a center of i concentric circles. The method also includes generating an i-length vector and setting an indicator value for each of the anchor points based on the known 3D points as part of a training process of a neural network, and using the neural network to obtain 3D points of one or more lane markings in a second image. | 2021-05-27 |
20210158059 | SYSTEMS AND METHODS FOR DETERMINING THE DIRECTION OF AN OBJECT IN AN IMAGE - In one embodiment, a system for determining the direction of objects in an image is provided. An image is received from a camera associated with a vehicle. The image is processed to identify an object, such as another vehicle. To determine the direction the object is traveling, the image is provided as input to a machine learning algorithm that outputs a direction of the detected object based at least in part on a training dataset including a plurality of images annotated to include respective direction information determined based at least in part on a plurality of 3D models set to aligned orientations that are significantly aligned with orientations of objects captured in the plurality of images. The objects and their associated directions can be provided to one or more autonomous vehicle functions, such as hazard detection or navigation. | 2021-05-27 |
20210158060 | VEHICLE EXTERIOR ENVIRONMENT RECOGNITION APPARATUS - A vehicle exterior environment recognition apparatus includes a three-dimensional object region identification unit, a bicycle determination unit, and a bicycle identification unit. The three-dimensional object region identification unit identifies a three-dimensional object region including a three-dimensional object, in an image. The bicycle determination unit divides the three-dimensional object region into a plurality of divisions, to determine bicycle-likeliness of the three-dimensional object on the basis of a state of occupation of each of the plurality of the divisions by the three-dimensional object. The bicycle identification unit identifies the three-dimensional object as a bicycle on the basis of the bicycle-likeliness. | 2021-05-27 |
20210158061 | VEHICULAR CONTROL SYSTEM WITH TRAILERING ASSIST FUNCTION - A vehicular control system includes a rear backup camera viewing at least rearward of the vehicle. With a trailer hitched to the vehicle, and based at least in part on image processing of captured image data during a backing-up maneuver, the image processor determines a distance between an axle of the trailer and the hitch of the vehicle and determines a trailer angle of the trailer hitched to the vehicle. During the backing-up maneuver of the trailer hitched to the vehicle, the vehicular control system determines a path of the trailer responsive to (i) a steering angle of the vehicle, (ii) the determined trailer angle of the trailer and (iii) the determined distance between the axle of the trailer and the hitch of the vehicle. The vehicular control system displays information to assist the driver in backing up the trailer hitched to the vehicle. | 2021-05-27 |
20210158062 | METHOD AND APPARATUS FOR TRAFFIC LIGHT POSITIONING AND MAPPING USING CROWD-SENSED DATA - A system and method for locating a traffic light at a host vehicle. A probe vehicle obtains image data on an intersection that includes the traffic light when the probe vehicle is at the intersection and identifies the traffic light in the intersection from the data. A remote processor creates an observed node in a digital map corresponding to the traffic light and updates a mapped position of a mapped node within the digital map based on an observed position of the observed node. The host vehicle uses the mapped node of the digital map to locate the traffic light when the host vehicle is at the intersection. | 2021-05-27 |
20210158063 | SYSTEM AND METHOD FOR DETECTING ACTIVENESS OF DRIVER - Provided is a system for detecting activeness of a driver, the system including a camera configured to photograph the driver, a camera moving module configured to move the camera, and a camera operation processor configured to detect the activeness of the driver by processing an image captured by the camera and control the camera to move using the camera moving module according to the detected activeness of the driver. | 2021-05-27 |
20210158064 | APPARATUS DETECTING DRIVING INCAPABILITY STATE OF DRIVER - Apparatus detecting driving incapability state of a driver includes: a head detection portion that successively detects a head portion, which is higher than a neck of the driver, based on an image of a driver's seat captured by an imaging device mounted in a vehicle; and an out-of-frame state detection portion that detects that the driver is incapable of driving, when the head portion detected by the head detection portion is out of a predetermined scope in the image during travelling of the vehicle. | 2021-05-27 |
20210158065 | BIOMETRIC DATA CAPTURING AND ANALYSIS - A health condition of a person may be assessed from a thermal sensor signal. By increasing performance indices of a thermal camera (for example, resolution, frame rate, sensitivity), operation may be extended to identification verification, biometric data extraction and health condition analysis, and so forth. Prediction may be carried out by monitoring a time sequence of thermal images, and consequently early warning of the health condition may be provided. The apparatus may be used for, but not limited to, personalization of smart home devices through supervised and reinforcement learnings. The application of the apparatus may be, but not limited to, smart homes, smart buildings and smart vehicles, and so forth. | 2021-05-27 |
20210158066 | MAN-MACHINE INTERACTION METHOD AND SYSTEM, COMPUTER DEVICE, AND STORAGE MEDIUM - The application discloses a main-machine interaction method and system, a computer device, and a storage medium. The method includes: an interaction end collects user information including biological sample information and preprocesses and filters the user information, and sends the preprocessed information to a central server; the central server assigns a biological recognition task and distributes the biological recognition task to a computing server; the computing server extracts biological characteristics from the biological sample information according to the biological recognition task, and returns obtained extraction results to the central server; the central server combines the extraction results to get a processing result; the processing result is returned to the interaction end; the interaction end responds to the processing result to complete a man-machine interaction with the user. | 2021-05-27 |
20210158067 | SYSTEM AND METHOD OF ENROLLING USERS OF A WIRELESS BIOMETRIC LOCKSET - A method of enrolling a user at a biometric lockset is described. The method includes receiving user access information from a mobile device of an administrative user of the biometric lockset. The user access information indicates to the biometric lockset to enter an enrollment mode in which a user identity is associated with fingerprint data in a user entry within a memory of the biometric lockset. A plurality of different light codes are displayed on the lockset, each one of the plurality of light codes representative of a different state of fingerprint data capture. A message is transmitted to the mobile device, and corresponds to the light code displayed at the lockset. The completed fingerprint data is stored in association with the user identity of the user in the user entry. | 2021-05-27 |
20210158068 | Operation Circuit of Convolutional Neural Network - An operation circuit of a convolutional neural network is provided. The circuit includes: an external memory configured to store an image to be processed, a direct access element connected with the external memory and configured to read the image to be processed and transmit this image to a control element, the control element connected with the direct access element and configured to store the image to be processed into an internal memory, the internal memory connected with the control element and configured to cache the image to be processed, and at least one operation element connected with the internal memory and configured to read the image to be processed from the internal memory and implement convolution and pooling operations. Through the circuit, the technical problem that a large system bandwidth is occupied due to a large amount of the convolution operation of the convolutional neural network is solved. | 2021-05-27 |
20210158069 | CALIBRATION METHOD FOR FINGERPRINT SENSOR AND DISPLAY DEVICE USING THE SAME - Provided herein are a calibration method for a fingerprint sensor and a display device using the calibration method, where, in the calibration method for a fingerprint sensor, the fingerprint sensor includes a substrate, a light-blocking layer located on a first surface of the substrate and having openings formed in a light-blocking mask, a light-emitting element layer located on the light-blocking layer and having a plurality of light-emitting elements, and a sensor layer located on a second surface of the substrate and having a plurality of photosensors; and the calibration method includes generating calibration data through white calibration and dark calibration, and applying offsets to the plurality of photosensors using the calibration data. | 2021-05-27 |
20210158070 | INFORMATION PROCESSING APPARATUS THAT GENERATES FILE NAMES OF IMAGE FILES - Provided is an information processing apparatus that a user is able to acquire a file name the corresponds to content of a document image. In a case where the document image includes an image portion but does not include a character portion, a control unit uses a first learning model to acquire a classification name according to a characteristic of the image portion as a subject. In a case where a document image includes a character portion but does not include an image portion, the control unit uses a second learning model to acquire a classification name according to a character string included in the character portion as a subject. The control unit generates a file name including acquired subject as a file name of an image file. | 2021-05-27 |
20210158071 | MATCH DETERMINATION DEVICE, MATCH DETERMINATION METHOD, STORAGE MEDIUM - Provided is a match determination device that efficiently specifies the same analysis target from a plurality of pieces of sensing information. The present invention specifies a selected feature quantity that has been selected from one or more feature quantities for analysis targets that are included in analysis groups and, on the basis of a combination of selected feature quantities from different analysis groups, evaluates whether there are matching analysis targets between a plurality of analysis groups. When the evaluation indicates that there are matching analysis targets between analysis groups, the present invention specifies that analysis targets in the different analysis groups are the same target. | 2021-05-27 |
20210158072 | INPUT PARTITIONING FOR DEEP LEARNING OF LARGE IMAGE DATA - In an approach to processing large high dimensional images in parallel without losing accuracy, one or more computer processors determine a required amount of graphics processing unit memory for an image. The one or more computer processors determine one or more coordinate partitions based on the determined required amount of graphics and one or more characteristics of the image. The one or more computer processors determine a padding size for each of the determined one or more coordinate partitions. The one or more computer processors partition the image based on the one or more determined coordinate partitions and the determined padding size. The one or more computer processors generate a prediction for the partitioned image utilizing a trained model. | 2021-05-27 |
20210158073 | SOLUTION TO END-TO-END FEATURE ENGINEERING AUTOMATION - Aspects of the present disclosure involve systems, methods, devices, and the like for an end-to-end solution to auto-identifying features. In one embodiment, a novel architecture is presented that enables the identification of optimal features and feature processes for use by a machine learning model. The novel architecture introduces a feature orchestrator for managing, routing, and retrieving the data and features associated with analytical job request. The novel architecture also introduces a feature store designed to identify, rank, and store the features and data used in the analysis. To aid in identifying the optimal features and feature processes, a training system may also be included in the solution which can perform some of the training and scoring of the features. | 2021-05-27 |
20210158074 | DATA INGESTION PLATFORM - Embodiments are directed to data ingestion over a network. Raw data and integrated data associated with a plurality of separate data sources may be provided such that the raw data includes content associated with a plurality of subjects. Categorization models may be employed to categorize the raw data based on various features, such as, format, structure, data source, variability, volume, or associated entities. Matching models may be determined based on the categorization of the of the raw data, the integrated data and the content associated with the plurality of subjects. Matching models may generate a plurality of unified facts based on the raw data and the integrated data such that each unified fact is associated with a score associated with a quality of its match with a unified schema. | 2021-05-27 |
20210158075 | Automated Explanation of Machine Learning Predictions Using Classification Score Targeting - Automated explanation of machine learning predictions, by: Obtaining an input, a machine learning model, and a classification score produced by application of the machine learning model to the input. Optimizing iterative application of the machine learning model to perturbations of the input, wherein a target of said optimizing is at least a predefined non-zero classification score. Generating, based on one of the perturbations which achieved the predefined non-zero classification score, an explanation to the classification score produced by the application of the machine learning model to the input. | 2021-05-27 |
20210158076 | Determining Model-Related Bias Associated with Training Data - Methods, systems, and computer program products for determining model-related bias associated with training data are provided herein. A computer-implemented method includes obtaining, via execution of a first model, class designations attributed to data points used to train the first model; identifying any of the data points associated with an inaccurate class designation and/or a low-confidence class designation; training a second model using the data points from the dataset, but excluding the identified data points; determining bias related to at least a portion of those data points used to train the second model by: modifying one or more of the data points used to train the second model; executing the first model using the modified data points; and identifying a change to one or more class designations attributed to the modified data points as compared to before the modifying; and outputting identifying information pertaining to the determined bias. | 2021-05-27 |
20210158077 | ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF - An electronic apparatus may include a memory that stores first information regarding a plurality of first artificial intelligence models trained to perform image processing differently from each other and second information regarding a second artificial intelligence model trained to identify a type of an image by predicting a processing result of the image by each of the plurality of first artificial intelligence models. The electronic apparatus may further include a processor configured to identify a type of an input image by inputting the input image to the second artificial intelligence model stored in the memory, and process the input image by inputting the input image to one of the plurality of first intelligence models stored in the memory based on the identified type. | 2021-05-27 |
20210158078 | UNBALANCED SAMPLE DATA PREPROCESSING METHOD AND DEVICE, AND COMPUTER DEVICE - Provided is an unbalanced sample data preprocessing method, which includes: a data acquisition request is received and initial data is acquired according to the data acquisition request, and the initial data is classified according to a preset classification rule to obtain first-class sample sets and second-class sample sets; characteristics of K first sample points extracted are analyzed to obtain a new data characteristic of the first-class sample sets; a new data label of the first-class sample sets is generated according to a first label corresponding to the first-class sample sets; a ratio between the number of first-class sample sets and the number of second-class sample sets is calculated; and new data of the first-class sample sets is generated according to the new data characteristic and the new data label, and the amount of new data is adjusted according to the ratio to increase the number of first-class sample sets. | 2021-05-27 |
20210158079 | SYSTEM AND METHOD FOR JOINT IMAGE AND LIDAR ANNOTATION AND CALIBRATION - A calibration system includes a processing circuit configured to receive data corresponding to a first image where the data includes information corresponding to a 2D BEV of a scene, and to receive data corresponding to a second image where the data includes information corresponding to a 2D image of the scene. The processing circuit may determine a salient feature in the first image or the second image, and project, based on a first calibration setting, the salient feature from the first image to the second image or vice versa. The processing circuit may select a region corresponding to the projected salient feature in the first image or the second image, determine an identity of the salient feature, and determine a second calibration setting based on the identity of the salient feature and the selected region corresponding to the salient feature in the 2D BEV and the 2D image. | 2021-05-27 |
20210158080 | USING MACHINE LEARNING TO TRANSFORM IMAGE STYLES - Mapping common features between images that commonly represent an environment using different light spectrum data is performed. A first image having first light spectrum data is accessed, and a second image having second light spectrum data is accessed. These images are fed as input to a DNN, which then identifies feature points that are common between the two images. A generated mapping lists the feature points and lists coordinates of the feature points from both of the images. Differences between the coordinates of the feature points in the two images are determined. Based on these differences, the second image is warped to cause the coordinates of the feature points in the second image to correspond to the coordinates of the feature points in the first image. | 2021-05-27 |
20210158081 | SYSTEM AND METHOD FOR CORRESPONDENCE MAP DETERMINATION - A system and method for determining a correspondence map between a first and second image by determining a set of correspondence vectors for each pixel in the first image and selecting a correspondence vector from the set of correspondence vectors based on a cost value. | 2021-05-27 |
20210158082 | DUPLICATE IMAGE DETECTION BASED ON IMAGE CONTENT - The present technology can analyze a collection of images to generate a high-dimension first representation of each image in the collection of images, and then reduce the dimensionality of the high-dimension first representation of each image by identifying significant features from the high-dimension first representation to yield a reduced-dimension second representation for each image in the collection of images. The present technology can then compare the second representation of any image in the collection of images to the second representation of any other image in the collection of images, wherein images having identical second representation are duplicates. | 2021-05-27 |
20210158083 | DYNAMIC CONTAINER GROUPING - In an approach for optimally grouping containers, a processor passively monitors a set of parameters for a set of containers within a network. A processor records the set of parameters for each container of the set of containers. A processor deploys a k-nearest neighbor neural network (KNN) to determine a first set of groupings of the set of containers based on the set of parameters. A processor simulates the network having grouped containers based on the first set of groupings of the set of containers output by the KNN. A processor simulates an action on the set of containers. A processor updates a reward function based on the action. A processor determines whether a maximum value of the reward function is reached. | 2021-05-27 |
20210158084 | Context Driven Model Selection - Mechanism are provided to select a machine learning model from an analytics model library based on ingested data. One or more pieces of clarified data are fused to provide time-correlated data tuples of data streams. One or more features are extracted from the time-correlated data tuples and scored based on a set of predetermined rules thereby generating discriminative scoring of trigger data. Utilizing the discriminative scoring of the trigger data, trigger data of a current analytics model being utilized by the data processing and one or more new analytics models from the analytics model library are scored. Responsive to the scoring of the trigger data indicating a selection of a different analytics model from the analytics model library, the current analytics model is replaced with a selected analytics model from the analytics model library such that the data processing system executes the selected analytics model. | 2021-05-27 |
20210158085 | SYSTEMS AND METHODS FOR AUTOMATIC MODEL GENERATION - Systems and methods for automatically generating models using machine learning techniques. | 2021-05-27 |
20210158086 | AUTOMATED SOUND MATCHING WITHIN AN AUDIO RECORDING - Certain embodiments involve techniques for automatically identifying sounds in an audio recording that match a selected sound. An audio search and editing system receives the audio recording and preprocesses the audio recording into audio portions. The audio portions are provided as a query to the neural network that includes a trained embedding model used to analyze the audio portions in view of the selected sound to estimate feature vectors. The audio search and editing system compares the feature vectors for the audio portions against the feature vector for the selected sound and the feature vector for the negative samples to generate an audio score that is a numerical representation of the level of similarity between the audio portion and the selected sound and uses the audio scores to classify the audio portions into a first class of matching sounds and a second class of non-matching sounds. | 2021-05-27 |
20210158087 | OBJECT DETECTION BASED ON DEEP NEURAL NETWORK - Implementations of the subject matter described herein relate to object detection based on deep neural network. With a given input image, it is desired to determine a class and a boundary of one or more objects within the input image. Specifically, a plurality of channel groups is generated from a feature map of an image, the image including at least a region corresponding to a first grid. A target feature map is extracted from at least one of the plurality of channel groups associated with a cell of the first grid. Information related to an object within the region is determined based on the target feature map. The information related to the object may be a class and/or a boundary of the object. | 2021-05-27 |
20210158088 | IMAGE PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND COMPUTER STORAGE MEDIUM - An image processing method and apparatus, and a storage medium are provided. The method includes: obtaining a first feature map of an image to be processed (S | 2021-05-27 |
20210158089 | GENERATING TRAINING DATA FOR OBJECT DETECTION - A method for generating training data for object detection is provided. The method includes dividing an image into a plurality of sliced images. The image includes meta information for an object in the image, the meta information including bounding box information associated with a bounding box surrounding the object, and marker information for markers associated with the object, the markers being located within the bounding box. The method includes designating at least one sliced object image from among the plurality of sliced images, at least a portion of the bounding box overlapping with each of the respective sliced object images. The method also includes designating at least one training data image from among the designated sliced object images based on the marker information. The method also includes generating the training data from the designated training data images. | 2021-05-27 |
20210158090 | POPULATION MODELING SYSTEM BASED ON MULTIPLE DATA SOURCES HAVING MISSING ENTRIES - A neural network is used to model to model the joint distribution of attributes across multiple health surveys. These multiple health surveys include large scale survey datasets and small scale survey datasets. The neural network model is trained using a combined dataset of the large scale survey datasets and the small scale survey datasets. The large scale survey datasets and the small scale survey datasets may include missing value indicators. The joint distribution of attributes modeled by the neural network model are the used to impute substitute values for the missing values to thereby create an output large scale dataset that does not include missing values. | 2021-05-27 |
20210158091 | APPARATUS FOR LEARNING IMAGE OF VEHICLE CAMERA AND METHOD THEREOF - An apparatus for learning an image of a vehicle camera and a method thereof are provided to apply a result of deep learning to all vehicles regardless of the color of a vehicle and the mounting angle (e.g., yaw, roll and pitch) of a camera. The apparatus includes an image input device that inputs an image photographed by a camera mounted on a vehicle, and a controller that masks a fixed area in the image input from the image input device with a pattern image, converts the masked image into a plurality of images having different views, and performs deep learning by using the masked image and the converted plurality of images. | 2021-05-27 |
20210158092 | IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - To reduce the possibility of false determination for a character string alteration in image data, embodiments of the present disclosure include a generation unit configured to generate a learning model by performing machine learning processing based on an altered character image, a character image before an alteration, and an image representing the difference between the altered character image and the character image before the alteration, an input unit configured to input image data, and an estimation unit configured to estimate whether the image data input by the input unit includes an altered character, by using the learning model generated by the generation unit. | 2021-05-27 |
20210158093 | AUTOMATICALLY GENERATING LABELED SYNTHETIC DOCUMENTS - The present disclosure relates to systems, methods, and non-transitory computer readable media for generating diverse and realistic synthetic documents using deep learning. In particular, the disclosed systems can utilize a trained neural network to generate realistic image layouts comprising page elements that comply with layout parameters. The disclosed systems can also generate synthetic content corresponding to the page elements within the image layouts. The disclosed systems insert the synthetic content into the corresponding page elements of documents based on the image layouts to generate synthetic documents. | 2021-05-27 |
20210158094 | CLASSIFYING IMAGES IN OVERLAPPING GROUPS OF IMAGES USING CONVOLUTIONAL NEURAL NETWORKS - The present disclosure relates to training a machine learning model to classify images. An example method generally includes receiving a training data set including images in a first category and images in a second category. A convolutional neural network (CNN) is trained using the training data set, and a feature map is generated from layers of the CNN based on features of images in the training data set. A first area in the feature map including images in the first category and a second area in the feature map where images in the first category overlap with images in the second category are identified. The first category is split into a first subcategory corresponding to the first area and a second subcategory corresponding to the second area. The CNN is retrained based on the images in the first subcategory, images in the second subcategory, and images in the second category. | 2021-05-27 |
20210158095 | AI-BASED OPERATION OF AN AUTOMATION SYSTEM - A control device of an automation system, which is configured to control a plant, such as a production plant, including using an AI system, is provided. In an application of the control device, the device monitors the production with regard to the quality of the objects produced, for example, with regard to the presence of fault cases. The AI system is trained in advance based on a plurality of known states of the objects, so that the AI system may be trained for the occurrence of new, previously unknown states, where only a small number of example cases are required. | 2021-05-27 |
20210158096 | SYSTEMS AND METHODS FOR PERFORMING DIRECT CONVERSION OF IMAGE SENSOR DATA TO IMAGE ANALYTICS - Systems and methods for performing direct conversion of image sensor data to image analytics are provided. One such system for directly processing sensor image data includes a sensor configured to capture an image and generate corresponding image data in a raw Bayer format, and a convolution neural network (CNN) coupled to the sensor and configured to generate image analytics directly from the image data in the raw Bayer format. Systems and methods for training the CNN are provided, and may include a generative model that is configured to convert RGB images into estimated images in the raw Bayer format. | 2021-05-27 |
20210158097 | METHOD AND SYSTEM FOR FILL LEVEL DETERMINATION - A method for fill level determination, which can include receiving a set training set, training a neural network, selecting reference images, and/or determining a container fill level. A system for fill level determination, which can include a computing system, one or more containers, and/or one or more content sensors. | 2021-05-27 |
20210158098 | A METHOD AND A SYSTEM TRAINING A MODEL TO PERFORM SEMANTIC SEGMENTATION ON FOGGY IMAGES - A system and a method for training a model to be used for semantic segmentation of images, comprising:
| 2021-05-27 |
20210158099 | FEDERATED LEARNING OF CLIENTS - A method, a computer program product, and a computer system determine when to perform a federated learning process. The method includes identifying currently available contributors among contributors of a federated learning task for which the federated learning process is to be performed. The method includes determining a usefulness metric of the currently available contributors for respective datasets from each of the currently available contributors used in performing the federated learning process. The method includes, as a result of the usefulness metric of the currently available contributors being at least a usefulness threshold, generating a recommendation to perform the federated learning process with the datasets of the currently available contributors. The method includes transmitting the recommendation to a processing component configured to perform the federated learning process. | 2021-05-27 |
20210158100 | IMAGE LEARNING DEVICE, IMAGE LEARNING METHOD, NEURAL NETWORK, AND IMAGE CLASSIFICATION DEVICE - An object of the invention is to provide an image learning device, an image learning method, a neural network, and an image classification device which can support appropriate classification of an image. | 2021-05-27 |
20210158101 | LEARNING DEVICE, LEARNING SYSTEM, AND LEARNING METHOD - In generation of training data for image recognition, in order to reduce a user's workload of assigning a label to a captured image, a learning device includes a processor for performing operations to generate training data and a display device, wherein the processor is configured to acquire a captured image from an image capturing device; acquire one or more candidate objects recognized based on an identification model for a recognition target included in the captured image; and display, on the display device, information on the candidate objects as respective label candidates for the captured image. | 2021-05-27 |
20210158102 | Determining Data Representative of Bias Within a Model - Methods, systems, and computer program products for determining data representative of bias within a model are provided herein. A computer-implemented method includes obtaining a first dataset on which a model was trained, wherein the first dataset contains protected attributes, and a second dataset on which the model was trained, wherein the protected attributes have been removed from the second dataset; identifying, for each of the one or more protected attributes in the first dataset, one or more attributes in the second dataset correlated therewith; determining bias among at least a portion of the identified correlated attributes; and outputting, to at least one user, identifying information pertaining to the one or more instances of bias. | 2021-05-27 |
20210158103 | ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF - An electronic apparatus is provided. The electronic apparatus includes: a memory storing information on an artificial intelligence model including a plurality of layers, and a processor configured to acquire an output image based on processing an input image using the artificial intelligence model. The processor is configured to: identify whether a parameter used in any one layer among the plurality of layers is a fixed parameter or a variable parameter, and provide the parameter to a first operation module or a second operation module included in of the artificial intelligence model of the artificial intelligence model any one layer based on the identification and perform an operation between output data of a previous layer and the parameter. | 2021-05-27 |
20210158104 | USING SYNTHETIC DATA SETS TO TRAIN A NEURAL NETWORK FOR THREE-DIMENSIONAL SEISMIC FAULT SEGMENTATION - A machine learning system efficiently detects faults from three-dimensional (“3D”) seismic images, in which the fault detection is considered as a binary segmentation problem. Because the distribution of fault and nonfault samples is heavily biased, embodiments of the present disclosure use a balanced loss function to optimize model parameters. Embodiments of the present disclosure train a machine learning system by using a selected number of pairs of 3D synthetic seismic and fault volumes, which may be automatically generated by randomly adding folding, faulting, and noise in the volumes. Although trained by using only synthetic data sets, the machine learning system can accurately detect faults from 3D field seismic volumes that are acquired at totally different surveys. | 2021-05-27 |
20210158105 | MEDICAL INFORMATION PROCESSING APPARATUS, MEDICAL INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - A medical information processing apparatus comprises an obtaining unit that obtains medical information, a learning unit that performs learning on a function of the medical information processing apparatus using the medical information, an evaluation data holding unit that holds evaluation data in which a correct answer to be obtained by executing the function is known, the evaluation data being for evaluating a learning result of the learning unit, an evaluating unit that evaluates a learning result obtained through learning, based on the evaluation data, and an accepting unit that accepts an instruction to apply a learning result of the learning unit to the function. | 2021-05-27 |
20210158106 | ASSESSING DATA FIDELITY IN A MACHINE LEARNING-BASED NETWORK ASSURANCE SYSTEM - In one embodiment, a service computes a data fidelity metric for network telemetry data used by a machine learning model to monitor a computer network. The service detects unacceptable performance of the machine learning model. The service determines a correlation between the data fidelity metric and the unacceptable performance of the machine learning model. The service adjusts generation of the network telemetry data for input to the machine learning model, based on the determined correlation between the data fidelity metric and the unacceptable performance of the machine learning model. | 2021-05-27 |
20210158107 | SYSTEMS AND METHODS FOR HUMAN MESH RECOVERY - Human mesh model recovery may utilize prior knowledge of the hierarchical structural correlation between different parts of a human body. Such structural correlation may be between a root kinematic chain of the human body and a head or limb kinematic chain of the human body. Shape and/or pose parameters relating to the human mesh model may be determined by first determining the parameters associated with the root kinematic chain and then using those parameters to predict the parameters associated with the head or limb kinematic chain. Such a task can be accomplished using a system comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the one or more processors to implement one or more neural networks trained to perform functions related to the task. | 2021-05-27 |
20210158108 | OBJECT CLASSIFICATION METHOD, VEHICLE CONTROL METHOD, INFORMATION DISPLAY METHOD, AND OBJECT CLASSIFICATION DEVICE - An object classification method includes: acquiring image data of an image including feature information indicating a feature of an object; and classifying the object included in the image, based on the feature information. The image data is acquired by causing a first image capture device to capture the image. The first image capture device includes: an image sensor; and a filter array that is arranged on an optical path of light that is incident on the image sensor and that includes translucent filters two-dimensionally arrayed along a plane that crosses the optical path, the translucent filters including two or more filters in which wavelength dependencies of light transmittances are different from each other, and light transmittance of each of the two or more filters having local maximum values in a plurality of wavelength ranges. | 2021-05-27 |
20210158109 | AUDIO-VISUAL SIMULATION-GENERATING NEURAL NETWORK SYSTEM - Embodiments of the present invention provide a system of interconnected neural networks capable audio-visual simulation generation by interpreting and processing a first image and, utilizing a given reference image or training set, modifying the first image such that the new image possesses parameters found within the reference image or training set. The images used and generated may include video. The system includes an autoposer, an automasker, an encoder, a generator, an improver, a discriminator, styler, and at least one training set of images or video. The system can also generate training sets for use within. | 2021-05-27 |
20210158110 | MEDIA PROCESSING APPARATUS, METHOD FOR CONTROLLING MEDIA PROCESSING APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM - A media processing apparatus includes a medium drive, a label printer, and a medium-processing-apparatus control section. When the medium-processing-apparatus control section receives a first photographic data file, the medium-processing-apparatus control section causes the medium drive to write the first photographic data file to a medium. After the medium-processing-apparatus control section has received the first photographic data file, the medium-processing-apparatus control section receives a second photographic data file and causes the medium drive to write the second photographic data file to the medium. When the medium-processing-apparatus control section receives a medium close command from a control apparatus, the medium-processing-apparatus control section terminates write processing by the medium drive in response to the received medium close command, and causes the label printer to perform printing. | 2021-05-27 |
20210158111 | IMAGE PROCESSING APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - An image processing apparatus extracts a margin portion from an input image in a case in which the input image is a margined formation target image formed so as to include a margin, and automatically executes, based on the extracted margin portion, a print setting of the input image. | 2021-05-27 |
20210158112 | IMAGE PROCESSING APPARATUS, IMAGE FORMING SYSTEM, IMAGE PROCESSING METHOD AND STORAGE MEDIUM - To implement non-ejection complementation processing while securing a chance for a nozzle in which an ejection failure has occurred to recover as a normal nozzle. Positional information for specifying an abnormal nozzle in which an ejection failure has occurred among a plurality of nozzles arrayed in a nozzle column is acquired and based on the positional information, input image data is converted into halftone image data. At this time, at least part of densities that are assumed to be obtained by a pixel line of the abnormal nozzle are distributed to pixels on a pixel line of a neighboring nozzle that is located in close proximity to the abnormal nozzle and in which no ejection failure has occurred so that in the halftone image data, at least in part of tones, the pixel on the pixel line of the abnormal nozzle has a density. | 2021-05-27 |
20210158113 | ENCRYPTED PRINTING - A printing apparatus can print an encrypted document. The printing apparatus includes a scanner to scan a print medium, an analog-to-digital converter coupled to the scanner to convert analog scan data digital scan data, a hardware pixelization circuit to generate a sequence of pixels from the digital scan data, an encryptor to encrypt the sequence of pixels to generate a sequence of encrypted pixels prior to storing of the digital scan data, a data storage device to temporarily store the sequence of the encrypted pixels, and a printing subsystem to print the stored sequence of the encrypted pixels. | 2021-05-27 |
20210158114 | FLEXIBLE WATER-RESISTANT SENSOR TAG - A method for configuring a sensor tag includes printing one or more antennas on a flexible substrate layer using a conductive ink; depositing one or more sensors on the flexible substrate layer, where at least one of the one or more sensors is deposited to make electric contact with at least one of the one or more antennas; and applying a coating layer over the one or more sensors. | 2021-05-27 |
20210158115 | FLEXIBLE WATER-RESISTANT SENSOR TAG - A method for configuring a sensor tag may include providing a flexible substrate layer comprising a thin film of thermoplastic polyurethane (TPU); depositing a sensor inlay on the flexible substrate layer; and applying a protective coating over the sensor inlay encapsulating the sensor inlay between the flexible substrate layer and the protective coating. | 2021-05-27 |
20210158116 | INFORMATION RECORDING OBJECT - Provided is an information recording object designed such that a read angle of embedded information is easily assessed. An information recording object, which comprises a combined image including an image C | 2021-05-27 |
20210158117 | GEOFENCED-BASED LOST AND FOUND MOBILE DEVICE APPLICATION SYSTEM - A geofenced-based lost and found mobile device application system for schools is disclosed. The system being comprised of three main parts: a first part being a mobile device (such as a smart phone, tablet etc.), a second part being a software application and a third part being Quick Response (QR) coded labels permanently affixed to student belongings. An object of the invention is to recover lost items within a predefined, physical property—such as in a kindergarten or grade school. The software having geofencing capabilities allowing administrators to define an area, distribute devices to personnel within said area called ‘hot spots’ and allowing them to scan lost items having QR Codes. Once an item is recovered, stakeholders then receiving notifications (such as a text, SMS etc.) in real time that their child's lost item has been found along with instructions on how to retrieve it. | 2021-05-27 |
20210158118 | Unique Secured Product Identification - A unique secured product identification method, system, and apparatus for product such as precious gemstones prevent counterfeiting by incorporating a marked product with fake identification (ID) mark or fake barcode. Authentication process requires at least two identifying data sets, an overt mark or overt data and covert data. The overt data may be a unique product identifier like a barcode. Covert data may be any additional data derived from the specific product. Additional data points come from a created data point not originally part of the product, or a unique data point already existing in the product but not existing in any other similar product. Product is authenticated when the combination of data sets compared to original data sets creates positive product identification. Authentication may be done with centralized, or de-centralized databases. A partially or non-automated method may be implemented, for example, where a barcode links to a database. | 2021-05-27 |
20210158119 | ORIENTATIONLESS CHIP LAYOUT FOR A TRANSACTION CARD - Various embodiments are generally directed to techniques to provide an orientationless transaction card. Embodiments include a transaction card having a substrate comprising one or more laminated layers and a chip comprising processing circuitry, and memory, the chip embedded within the substrate. The transaction card may also include a first contact pad coupled with the chip, the first contact pad embedded on a first side of the substrate at a first location and a second contact pad embedded on the first side of the substrate at a second location. Further, the transaction card includes an antenna embedded within the substrate, the antenna to couple the chip with the second contact pad. | 2021-05-27 |
20210158120 | METHOD OF MONITORING AND CONTROLLING A LEVEL OF POWER TRANSMITTED BY AN ANTENNA OF A CONTACTLESS COMMUNICATION DEVICE - In an embodiment a method for dynamic power control of a power level transmitted by an antenna of a contactless reader is disclosed. The method may include supplying a power to the antenna and performing at least one power adjusting cycle for adjusting a power level during a contactless transaction with a transponder, each power adjusting cycle including modifying the power supplied to the antenna to a predetermined level of power, performing a first measuring of a loading effect on the antenna at the predetermined level of power and adjusting the power level according to the measured loading effect. | 2021-05-27 |
20210158121 | AUTHENTICATION APPARATUS, SYSTEM AND METHODS USING UNCLONABLE IDENTIFIERS - An integrated circuit having Radio Frequency Identification components and circuitry used for authentication is discussed. The RFID components and circuitry include two or more coils and corresponding electrical circuits that are tuned to use two or more different resonant frequencies including: a first resonant RF used for power generation and a second resonant RF used for data communication. The integrated circuit contains a unique signature that is used for the authentication with two or more aspects including i) a first aspect that is a programmed password in a memory embedded on the integrated circuit, and ii) a second aspect that is a unique, randomly generated code based upon a physical characteristic of the integrated circuit. | 2021-05-27 |
20210158122 | MEMRISTOR BASED STORAGE OF ASSET EVENTS - An example device comprising contactless circuitry to receive data about a plurality of events corresponding to an asset, and a memristor coupled to the contactless circuitry to store the data about the plurality of events. The contactless circuitry may determine that the asset has experienced an event, receive a transaction corresponding to the event from a decentralized entity, generate a hash of the transaction including a device identifier of the contactless circuitry and the transaction received from the decentralized entity, verify the hashed transaction with the decentralized entity, and store the verified hashed transaction on the memristor of the contactless circuitry, wherein the stored verified hash includes information about the event. | 2021-05-27 |
20210158123 | DUAL MODE EAS/RFID TAG BASED ON SELF TUNING RFID CHIP - A self-tuning RFID device having an input capacitance that is adjustable in response to a detected signal. The self-tuning RFID device preferably comprises a variable capacitance RFID chip coupled to an inductor, and an input circuit driven by the detected signal from the variable capacitance RFID chip. A change in capacitance with the detected signal is delayed by a specific amount of time, thereby allowing the self-tuning RFID device to function as a dual mode EAS and RFID tag. The ESA functionality can be deactivated by a high field at or near its resonance frequency without disabling the RFID functionality. The effect of the high field may change the input capacitance permanently changing its resonance. | 2021-05-27 |
20210158124 | METAL, CERAMIC, OR CERAMIC-COATED TRANSACTION CARD WITH WINDOW OR WINDOW PATTERN AND OPTIONAL BACKLIGHTING - A transaction card includes at least one metal layer having one or more apertures therein. A light guide is disposed beneath the metal layer. The light guide has a light output and a light input. The light output is positioned to transmit light through at least the one or more apertures of the metal layer. At least one LED is positioned to transmit light into the light guide light input. | 2021-05-27 |
20210158125 | RFID DEVICES INCLUDING EMBOSSED OR OTHER ELEMENTS - In some embodiments, an RFID device includes an RFID assembly that includes an RFID antenna and an RFID chip electrically coupled to the RFID antenna, the RFID assembly having a first side and a second side. The RFID device may further include a first layer including a visual element and having a first side and a second side, the first side of the first layer contacting a first side of the RFID assembly. The RFID device may further include a second layer having a first side and a second side, the first side of the second layer contacting at least one of the first visual element and the RFID assembly. | 2021-05-27 |
20210158126 | METHOD AND DEVICE FOR COMPRESSING A NEURAL NETWORK MODEL FOR MACHINE TRANSLATION AND STORAGE MEDIUM - A method for compressing a neural network model includes: obtaining a first trained teacher model and a second trained teacher model based on N training samples, N being a positive integer greater than 1; for each of the N training samples, determining a first guide component of the first teacher model and a second guide component of the second teacher model respectively, determining a sub optimization target corresponding to the training sample and configured to optimize a student model according to the first guide component and the second guide component, and determining a joint optimization target based on each of the N training samples and a sub optimization target corresponding to the training sample; and training the student model based on the joint optimization target. | 2021-05-27 |
20210158127 | LAYOUT PARASITICS AND DEVICE PARAMETER PREDICTION USING GRAPH NEURAL NETWORKS - A graph neural network to predict net parasitics and device parameters by transforming circuit schematics into heterogeneous graphs and performing predictions on the graphs. The system may achieve an improved prediction rate and reduce simulation errors. | 2021-05-27 |
20210158128 | METHOD AND DEVICE FOR DETERMINING TRAJECTORIES OF MOBILE ELEMENTS - A method for determining the trajectory of at least one mobile element from position data, includes an initial step consisting in classifying a set of positions relating to at least one detected mobile element by applying a first data classification algorithm to the set of positions, which provides an initial trajectory relating to each detected mobile element. The method comprises the following steps, implemented on each current observation window: classifying each new position detected in at least one trajectory by applying a second data classification algorithm; identifying, for each detected mobile element, the positions relating to the detected mobile element; determining an intermediate complete trajectory for each detected mobile element; determining a final complete trajectory for each detected mobile element. | 2021-05-27 |