43rd week of 2021 patent applcation highlights part 48 |
Patent application number | Title | Published |
20210334528 | TEXT DETECTION USING GLOBAL GEOMETRY ESTIMATORS - Systems, processes and methods for detecting rotated or angled text in an image based on global text geometry estimations are provided. A method includes, at an electronic device with memory and one or more processors, receiving an image including a plurality of pixels ( | 2021-10-28 |
20210334529 | ON-DEVICE PARTIAL RECOGNITION SYSTEMS AND METHODS - Disclosed is an approach of on-device partial recognition that includes performing partial recognition on an image of a document captured by a mobile device to detect and/or recognize a specific area (e.g., barcodes, non-relevant text, etc.) and filling the recognized area with a solid color. Because the solid color area has a maximum compression ratio, this approach can lead to image size reduction and increased network throughput for client-server based data recognition where further processing such as advanced data extraction is performed at the server side. The approach can be enforced with neural network algorithms to exclude non-relevant information (e.g., logos, phrases, words, etc.). | 2021-10-28 |
20210334530 | DATA EXTRACTION FROM SHORT BUSINESS DOCUMENTS - Systems and methods for document analysis. An image containing at least one document is received at a pre-processing stage and the image is analyzed for image quality. If the image quality is insufficient for further processing, this is adjusted until the image is suitable for further processing. After the image quality adjustment, the image is then passed to an initial processing stage. At the initial processing stage, the boundaries of one or more documents within the image are determined. In addition, the orientation of the image may be adjusted and the type of document(s) within the image is determined. From the initial processing stage, the adjusted image is then passed to a data extraction stage. At this stage, clusters of data within the document are determined and bounding boxes are placed around the clusters. Data regarding each of the clusters of data is then gathered. | 2021-10-28 |
20210334531 | GENERATING SHIFT-INVARIANT NEURAL NETWORK FEATURE MAPS AND OUTPUTS - The present disclosure relates to systems, methods, and non-transitory computer readable media for generating shift-resilient neural network outputs based on utilizing a dense pooling layer, a low-pass filter layer, and a downsampling layer of a neural network. For example, the disclosed systems can generate a pooled feature map utilizing a dense pooling layer to densely pool feature values extracted from an input. The disclosed systems can further apply a low-pass filter to the pooled feature map to generate a shift-adaptive feature map. In addition, the disclosed systems can downsample the shift-adaptive feature map utilizing a downsampling layer. Based on the downsampled, shift-adaptive feature map, the disclosed systems can generate shift-resilient neural network outputs such as digital image classifications. | 2021-10-28 |
20210334532 | Method and System to Control a Workflow and Method and System for Providing a Set of Task-Specific Control Parameters - The invention relates to a system and method to control a workflow comprising at least one task to be performed by a person (P | 2021-10-28 |
20210334533 | OBJECT IDENTIFICATION METHOD AND OBJECT IDENTIFICATION DEVICE - An object identification method and an object identification device, the object identification method comprises: capturing color images and depth images that are aligned; performing motion detection on the captured color images and depth images to acquire a motion start frame and a motion end frame; comparing the motion end frame with the motion start frame in the color images to acquire a set of motion pixels; performing connected component analysis on the acquired set of motion pixels to obtain at least one connected component; and identifying an object in the at least one connected component. | 2021-10-28 |
20210334534 | METHOD AND SYSTEM FOR TRACKING AND DISPLAYING OBJECT TRAJECTORY - The present disclosure relates to an object trajectory tracking and displaying method, comprising the following steps of: creating a mapping relationship database of image features and WIFI information for objects in a distributed search server, where each WIFI information includes position information; receiving a trajectory query request for a monitored object; searching the mapping relationship database of image features and WIFI information for objects according to an image feature of the monitored object to produce a WIFI information set, and producing a corresponding position information set based on the WIFI information set; and generating real-time trajectory information of the monitored object based on the position information set. The object trajectory tracking and displaying method and system of the present disclosure make the position of the sampling data points more accurate and improve the accuracy of trajectory querying. | 2021-10-28 |
20210334535 | SYSTEMS AND METHODS FOR DYNAMIC CONTENT ARRANGEMENT OF OBJECTS AND STYLE IN MERCHANDISING - Aspects of the subject disclosure may include, for example, obtaining a first image, the first image comprising a depiction of a first product of a first potential advertiser; analyzing the first image to determine a first spatial placement of the first product, the first spatial placement being relative to another object in the first image; receiving, from user equipment, a user image that shows a depiction of a user environment; analyzing the user image, the analyzing resulting in a plurality of identified objects; determining whether the another object corresponds to a corresponding one of the plurality of identified objects; responsive to a determination that the another object corresponds to the corresponding one of the plurality of identified objects, generating information that places the depiction of the first product in the depiction of the user environment; and responsive to the generating, transmitting the information to the user equipment. Other embodiments are disclosed. | 2021-10-28 |
20210334536 | AUGMENTED REALITY SYSTEM FOR POSITIONING OBJECTS WITHIN AN INTERIOR SPACE - In certain embodiments, placement of objects within an interior space of a vehicle may be simulated. In some embodiments, one or more images of an interior space of a vehicle may be obtained. User input may be obtained, the user input indicating objects to be placed within the interior space. Based on the images of the interior space and the user input indicating objects to place within the interior space, an arrangement may be determined for the objects within the interior space. In some embodiments, the arrangement may be based upon measurements and other characteristics of the objects and the interior space. In some embodiments, a presentation simulating placement of the objects within the interior space may be simulated. In some embodiments, the presentation may comprise steps indicating an order in which to place the objects within the interior space. | 2021-10-28 |
20210334537 | ENHANCED POSE DETERMINATION FOR DISPLAY DEVICE - To determine the head pose of a user, a head-mounted display system having an imaging device can obtain a current image of a real-world environment, with points corresponding to salient points which will be used to determine the head pose. The salient points are patch-based and include: a first salient point being projected onto the current image from a previous image, and with a second salient point included in the current image being extracted from the current image. Each salient point is subsequently matched with real-world points based on descriptor-based map information indicating locations of salient points in the real-world environment. The orientation of the imaging devices is determined based on the matching and based on the relative positions of the salient points in the view captured in the current image. The orientation may be used to extrapolate the head pose of the wearer of the head-mounted display system. | 2021-10-28 |
20210334538 | SYSTEMS AND METHODS FOR A 3D MODEL FOR VIEWING POTENTIAL PLACEMENT OF AN OBJECT - The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: measures dimensional data of each object of the plurality of objects based upon processor analysis of received LIDAR data; presents, to a user, a list of objects of the plurality of objects; receives, from the user, a selection from the list of objects; and displays the 3D model of the room with a representation of the selected object. | 2021-10-28 |
20210334539 | PROVIDING GRAVE INFORMATION USING AUGMENTED REALITY - Augmented reality is used to display graphical elements overlaid on a continually updating image of an area around an augmented reality device (e.g., a mobile device). The graphical element may contain geographical location information about a grave of an ancestor and/or biographical information about the ancestor. The continually updating image is captured by a camera of the augmented reality device and updates in response to time and motion of the augmented reality device. Based on orientation data and geographical location data collected by the augmented reality device, the graphical element is updated and displayed on the mobile device. | 2021-10-28 |
20210334540 | VEHICLE LOSS ASSESSMENT - A vehicle loss assessment method executed by a mobile terminal, a device, a mobile terminal, a medium and a computer program product are provided. The implementation solution includes: acquiring at least one input image; detecting vehicle identification information in the at least one input image; detecting vehicle damage information in the at least one input image; and determining a vehicle loss assessment result on the basis of the vehicle identification information and the vehicle damage information. | 2021-10-28 |
20210334541 | DETECTING SHELF INTERACTIONS USING A SENSOR ARRAY - An object tracking system includes a sensor and a tracking system. The sensor is configured to capture a frame of at least a portion of a physical space within a global plane for a space. The tracking system is configured to receive the frame, to detect an object within a zone of the frame, and to determine a pixel location for the object. The tracking system is further configured to identify a zone of the physical structure based on the pixel location, to identify an item based on the identified zone. | 2021-10-28 |
20210334542 | EXPLAINABLE MULTI-ENTITY EVENT RECOGNITION - An image processing system has a memory storing a video depicting a multi-entity event, a trained reinforcement teaming policy and a plurality of domain specific language functions. A graph formation module computes a representation of the video as a graph of nodes connected by edges. A trained machine learning system recognizes entities depicted in the video and recognizes attributes of the entities. Labels are added to the nodes of the graph according to the recognized entities and attributes. The trained machine learning system computes a predicted multi-entity event depicted in the video. For individual ones of the edges of the graph, select a domain specific language function from the plurality of domain specific language functions and assign it to the edge, the selection being made at least according to the reinforcement learning policy. An explanation is formed from the domain specific language functions. | 2021-10-28 |
20210334543 | METHOD FOR SEMANTIC SEGMENTATION BASED ON KNOWLEDGE DISTILLATION - The present disclosure provides a knowledge distillation based semantic image segmentation method including inputting an input image to a teacher network and a student network; normalizing a first feature vector corresponding to each pixel in a feature map of a last layer of the teacher network and normalizing a second feature vector corresponding to each pixel in a feature map of a last layer of the student network; generating the first channel and space association matrix and the second channel and space association matrix based on the normalized first feature vector and the normalized second feature vector, and defining a first loss function based on an Euclidean norm value of the difference between the first channel and space association matrix and the second channel and space association matrix. | 2021-10-28 |
20210334544 | Computer Vision Learning System - A computer vision learning system and corresponding computer-implemented method extract meaning from image content. The computer vision learning system comprises at least one image sensor that transforms light sensed from an environment of the computer vision learning system into image data representing a scene of the environment. The computer vision learning system further comprises a digital computational learning system that includes a network of actor perceiver predictor (APP) nodes and a library of visual methods available to the APP nodes for applying to the image data. The digital computational learning system employs the network in combination with the library to determine a response to a query and outputs the response determined. The query is associated with the scene. The computer vision learning system is capable of answering queries not just about what is happening in the scene, but what would happen based on the scene in view of hypothetical conditions and/or actions. | 2021-10-28 |
20210334545 | Communication Method and Communications Apparatus - A communication method includes: obtaining information about first and second video streams, where the information about each video stream comprises evaluation information of the video stream and an address corresponding to the video stream, and both of the first and second video streams are related to a first event; selecting the first video stream for a first vehicle based on evaluation information of the first and second video streams; and sending a first message including an address corresponding to the first video stream to the first vehicle. Thus, an appropriate video stream can be matched for the vehicle, and the vehicle does not need to autonomously select a video stream. In addition, the first vehicle can learn of a complete picture of the first event. | 2021-10-28 |
20210334546 | SCALABLE SPORT DATA COLLECTING, SHARING AND PROCESSING SYSTEM - A scalable sport data collecting, sharing and processing system includes: a hub device, and a plurality of client devices, the client devices being connected to the hub device via a data communication link. The client devices include a producer client device and a consumer client device; the producer client device includes one or more sensors selected from the group consisting of be an image sensor, an audio sensor, a GPS/GNSS receiver, an accelerometer, a gyroscope, and a magnetometer, a processor, and a communication module; and the consumer client device includes a process, a communication module, a display and a data storage. | 2021-10-28 |
20210334547 | System, Device, and Method for Generating and Utilizing Content-Aware Metadata - System, device, and method for generating and utilizing content-aware metadata, particularly for playback of video and other content items. A method includes: receiving a video file, and receiving content-aware metadata about visual objects that are depicted in said video file; and dynamically adjusting or modifying playback of that video file, on a video playback device, based on the content-aware metadata. The modifications include content-aware cropping, summarizing, watermarking, overlaying of other content elements, modifying playback speed, adding user-selectable indicators or areas around or near visual objects to cause a pre-defined action upon user selection, or other adjustments or modification. Optionally, a modified and content-aware version of the video file is automatically generated or stored. Optionally, the content-aware metadata is stored internally or integrally within the video file, in its header or as a private channel; or is stored in an accompanying file. | 2021-10-28 |
20210334548 | VEHICLE DAMAGE ASSESSMENT METHOD, APPARATUS, AND DEVICE - Implementations of the present specification disclose a vehicle damage assessment method, apparatus, and device. The method includes: collecting a first video image including an identification of a target vehicle under damage assessment; in response to that the first video image meets the determined requirement for capturing an identification, collecting a second video image including a damage to the target vehicle; and assessing the damage to the target vehicle based on the first video image and the second video image in response to that the second video image meets the determined requirement for capturing a vehicle damage feature. | 2021-10-28 |
20210334549 | SYSTEMS AND METHODS FOR IDENTIFYING AND TRACKING A TARGET - A method of tracking a target including detecting and localizing an incident in a first area using a first sensor system; determining a target within a plurality of targets associated with the incident in the first area; and tracking the target from the first area to a second area using a second sensor system. The method further includes collecting unique identifiers for the plurality of targets using wireless packet analyzers and determining a digital identity of the target in the first area based on a correlation between the tracking of the target and the unique identifiers collected by the first and second wireless packet analyzers. | 2021-10-28 |
20210334550 | CONTROL SYSTEM OF TRAFFIC LIGHTS AND METHOD THEREOF - A control method for traffic lights includes: acquiring an image at a preset time point before a red light is turned off, wherein the image includes at least one vehicle waiting for the red light; determining a time length according to the image, wherein the time length is generated by an artificial intelligence algorithm; and controlling a green light according to the time length. | 2021-10-28 |
20210334551 | ENVIRONMENT RECOGNITION SYSTEM AND LEARNING APPARATUS - An environment recognition system according to one aspect of the present invention includes: a sensor apparatus configured to detect brightness information pertaining to a brightness of the surrounding environment; and an information processing apparatus configured to calculate, by inputting the brightness information obtained by the sensor apparatus into a trained learning device that has been trained for identifying a brightness level of the surrounding environment and a factor determining the brightness, an environment information set including information of the brightness level of the surrounding environment and the factor determining the brightness. | 2021-10-28 |
20210334552 | METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM FOR DETERMINING LANE WHERE VEHICLE LOCATED - Embodiments of the present disclosure provide a method, apparatus, device, and storage medium for determining a lane where a vehicle is located. In the method, the image lane information of the position where the vehicle is located is determined from a lane line image; actual lane information of a position where the vehicle is located is acquired from existing lane information according to the positioning information of the vehicle; and an actual lane where the vehicle is located is determined based on the image lane information and the actual lane information. | 2021-10-28 |
20210334553 | IMAGE-BASED LANE DETECTION AND EGO-LANE RECOGNITION METHOD AND APPARATUS - A method and an apparatus for detecting a lane is provided. The lane detection apparatus according to an embodiment includes: an acquisition unit configured to acquire a front image of a vehicle; and a processor configured to input the image acquired through the acquisition unit to an AI model, and to detect information of a lane on a road, and the AI model is trained to detect lane information that is expressed in a plane form from an input image. Accordingly, data imbalance between a lane area and a non-lane area can be solved by using the AI model which learns/predicts lane information that is expressed in a plane form, not in a segment form such as a straight line or curved line. | 2021-10-28 |
20210334554 | ROAD SHAPE DETERMINATION METHOD - A road shape determination method that causes a computer to execute a process, the process includes identifying a road region in an image captured by an imaging device mounted over a moving object, and determining a road shape based on a ratio of the road region in each of a plurality of determination regions that is set in the image in which the road region is identified. | 2021-10-28 |
20210334555 | METHOD AND APPARATUS FOR TRACKING AN AT LEAST PARTIALLY OCCLUDED OBJECT, VEHICLE AND COMPUTER-PROGRAM PRODUCT THEREOF - A method for tracking an at least partially occluded object. The method includes recognizing a non-occluded portion of the at least partially occluded object in an input image; generating a simulated image of the at least partially occluded object based on features of the non-occluded portion extracted from the input image; determining first coordinates of the at least partially occluded object in a first coordinate system; and converting the first coordinates of the at least partially occluded object in the first coordinate system into second coordinates in a second coordinate system defined in a display apparatus. | 2021-10-28 |
20210334556 | ELECTRONIC DEVICE, SYSTEM AND METHOD FOR DETERMINING A SEMANTIC GRID OF AN ENVIRONMENT OF A VEHICLE - An electronic device for determining a semantic grid of an environment of a vehicle is provided. The electronic device is configured to: receive first image data of an optical sensor, the first image data comprising a 2D image of the environment, perform a semantic segmentation of the 2D image and project the resulting semantic image into at least one predetermined semantic plane, receive an occupancy grid representing an allocentric bird eye's view of the environment. The control device further includes a neural network configured to determine a semantic grid by fusing the occupancy grid with the at least one predetermined semantic plane. | 2021-10-28 |
20210334557 | MONOCULAR CUED DETECTION OF THREE-DIMENSIONAL STRUCURES FROM DEPTH IMAGES - Detection of three dimensional obstacles using a system mountable in a host vehicle including a camera connectible to a processor. Multiple image frames are captured in the field of view of the camera. In the image frames, an imaged feature is detected of an object in the environment of the vehicle. The image frames are portioned locally around the imaged feature to produce imaged portions of the image frames including the imaged feature. The image frames are processed to compute a depth map locally around the detected imaged feature in the image portions. Responsive to the depth map, it is determined if the object is an obstacle to the motion of the vehicle. | 2021-10-28 |
20210334558 | METHOD AND SYSTEM FOR PROVIDING BEHAVIOR OF VEHICLE OPERATOR USING VIRTUOUS CYCLE - A method or system is capable of detecting operator behavior (“OB”) utilizing a virtuous cycle containing sensors, machine learning center (“MLC”), and cloud based network (“CBN”). In one aspect, the process monitors operator body language captured by interior sensors and captures surrounding information observed by exterior sensors onboard a vehicle as the vehicle is in motion. After selectively recording the captured data in accordance with an OB model generated by MLC, an abnormal OB (“AOB”) is detected in accordance with vehicular status signals received by the OB model. Upon rewinding recorded operator body language and the surrounding information leading up to detection of AOB, labeled data associated with AOB is generated. The labeled data is subsequently uploaded to CBN for facilitating OB model training at MLC via a virtuous cycle. | 2021-10-28 |
20210334559 | LIGHT COLOR IDENTIFYING METHOD AND APPARATUS OF SIGNAL LIGHT, AND ROADSIDE DEVICE - A light color identifying method and apparatus of a signal light, and a roadside device provided in the present application relate to the field of intelligent transportation. A solution includes: collecting an image including the signal light through an image collecting apparatus; determining a background image according to N preceding frames of images of a current frame of image, where N is a positive integer greater than or equal to 1; performing foreground identification on the current frame of image according to the background image to obtain a moving foreground, where the moving foreground represents a change of the current frame of image relative to the background image; and determining, according to the moving foreground, a light color of a light that is turned on in the current frame of image. | 2021-10-28 |
20210334560 | METHOD AND APPARATUS TO RECOGNIZE TRANSPORTED PASSENGERS AND GOODS - It is disclosed an apparatus comprising: a vehicle computing device including a processor; an internal wireless communication component associated to the vehicle computing device and coupled to the processor; a memory portion associated to said processor unit and structured to store information and data relating at least to passengers, luggage or goods on the vehicle; said information and data being automatically transmitted to said vehicle computing device and to said memory through said internal wireless communication component. | 2021-10-28 |
20210334561 | METHODS AND SYSTEMS FOR IMPROVING HUMAN HAIR AND SCALP USING VEHICLE CAMERAS AND BIG DATA AI ANALYTICS - Hair loss/gain and scalp changes are monitored using vehicle cameras and sensors of connected vehicles. Each vehicle is equipped with at least one camera which images the hair and scalp of a person riding in the vehicle. Each vehicle is operatively connected to a hair and scalp improvement application in a computing cloud which includes a registration module which registers each vehicle. Additionally, the person may register with the hair and scalp improvement application to have his/her hair and scalp analyzed when travelling in any of the registered vehicles. The hair and scalp improvement application is operatively connected to a hair and scalp data AI analytics program and a data lake to search and analyze information related to the changes in the hair and scalp images. A hair and scalp treatment recommendation is transmitted to the person. | 2021-10-28 |
20210334562 | VEHICLE CONTROL DEVICE - A vehicle control device is disclosed. The vehicle control device includes: an interface unit that is connected to a camera for capturing a vehicle passenger and to a plurality of devices installed inside the vehicle; and a processor that receives an image captured by the camera through the interface unit and exchanges information with the plurality of devices through the interface unit, wherein the processor detects the position of the passenger from the image acquired by the camera, configures a space adjacent to the passenger as a virtual control space, matches a device corresponding to the position of the passenger, among the plurality of devices, to the virtual control device, and, upon detecting a preset gesture through the virtual control space, controls the device based on the preset gesture. | 2021-10-28 |
20210334563 | BACK SEAT DETECTION SYSTEMS AND METHODS - A method and system for detecting one or more living beings in a vehicle are disclosed. The vehicle has an engine, a front seat area, and a back seat area. An indication that the engine is off is received via on on-board diagnostics (OBD) device. Whether a first living being is in the front seat area is determined using a first sensor, and whether a second living being is in the back seat area is determined using a second sensor. In response to a that a first living being is not in the front seat area and a second living being is in the back seat area, a first temperature reading for a first temperature inside the vehicle is received and a second temperature reading for a second temperature outside the vehicle is received. A delta between the first temperature and the second temperature is computed. Whether the delta is less than a first threshold is determined. If the delta is less than a first threshold, then an alert is sent via the OBD device to a computing device associated with a user. | 2021-10-28 |
20210334564 | METHOD FOR MONITORING AN OCCUPANT AND A DEVICE THEREFOR - The present invention relates to an occupant monitoring method and apparatus therefor. A monitoring apparatus according to one aspect of the present invention may include a camera obtaining an image in a vehicle and a processor processing the image. Moreover, the processor may include a detecting module separating each region in which an object exists from the image, a classifying module classifying the object existing in the each separated region and a recognizing module recognizing a pose of an occupant if the object corresponds to the occupant. | 2021-10-28 |
20210334565 | SYSTEMS AND METHODS FOR PERFORMING OPERATIONS IN A VEHICLE USING GAZE DETECTION - In various examples, systems and methods are disclosed herein for a vehicle command operation system that may use technology across multiple modalities to cause vehicular operations to be performed in response to determining a focal point based on a gaze of an occupant. The system may utilize sensors to receive first data indicative of an eye gaze of an occupant of the vehicle. The system may utilize sensors to receive second data indicative of other data from the occupant. The system may then calculate a gaze vector based on the data indicative of the eye gaze of the occupant. The system may determine a focal point based on the gaze vector. In response to determining the focal point, the system causes an operation to be performed in the vehicle based on the second data. | 2021-10-28 |
20210334566 | DETECTING A BIOMETRIC EVENT IN A NOISY SIGNAL - A method of detecting a biometric event in an input signal comprises: performing principal component analysis PCA on samples of a plurality of model signals to generate a transformation matrix having more informative components and less informative components, each model signal comprising a known signal which includes the biometric event to be detected; reducing a dimensionality of the transformation matrix by discarding one or more of the more informative components; transforming a plurality of samples of the input signal using the reduced dimensionality transformation matrix; determining a probability that the biometric event is present in the plurality of samples of the input signal, by calculating a predefined probability function for the transformed samples; and determining that the input signal includes the biometric event if the probability is higher than a threshold. | 2021-10-28 |
20210334567 | METHOD OF CREATING A PERSONAL BIOELECTRIC ID (PASSWORD) WITH HAND MOVEMENTS OF PERSON AND IDENTIFICATION OF BEHAVIORAL BIOMETRIC BASED PERSON WITH EMG SIGNALS - A method—for biometric based person recognition systems is provided. The method provides an identification of a personalized bioelectric code and a personal ID code by identifying persons and gestures of a person with a benefit of behavioral biometric data of Electromyography (EMG) signals. The method includes the steps of: making the person wishing to create a password to wear a wristband, simultaneously recording of hand movements in eight bioelectric signals from eight EMG sensors in recordings of up to 10 seconds, repeating each selected movement type by the person at least ten times, clearing a recorded raw signal group from noise signals with a bandpass filter, separating a signal cleaned from the noise signals into to windows, creating a customized behavioral biometric data set with generated attributes for each transaction, obtaining the personalized bioelectrical code and the personal ID code. | 2021-10-28 |
20210334568 | PRESSURE-BASED ACTIVATION OF FINGERPRINT SPOOF DETECTION - In a method for performing operating a fingerprint sensor, an image of a fingerprint of a finger is captured at a fingerprint sensor. A force applied by the finger at the fingerprint sensor is determined, where the force is a measure of pressure applied by the finger on the fingerprint sensor during capture of the image. The force is compared to a pressure threshold. Provided the force satisfies a pressure threshold, a spoof detection operation is performed to determine whether the finger is a real finger. Provided the force does not satisfy the pressure threshold, fingerprint authentication using the image of the fingerprint is performed without performing the spoof detection operation. | 2021-10-28 |
20210334569 | IMAGE DEPTH DETERMINING METHOD AND LIVING BODY IDENTIFICATION METHOD, CIRCUIT, DEVICE, AND MEDIUM - An image depth determining method and a living body identification method, a circuit, a device, and a medium. The image depth determining method includes obtaining pixel coordinates of a feature point pair associated with an object point on a subject, determining a first straight line passing through the origin of a first camera coordinate system of a first camera based on first pixel coordinates and intrinsic parameters of the first camera, determining a second straight line passing through the origin of a second camera coordinate system of a second camera based on second pixel coordinates and intrinsic parameters of the second camera, and determining the depth of the object point based on the first straight line, the second straight line, and extrinsic parameters describing a relative position relationship between the first camera and the second camera. | 2021-10-28 |
20210334570 | LIVENESS DETECTION - Biometrics are increasingly used to provide authentication and/or verification of a user in many security and financial applications for example. However, “spoof attacks” through presentation of biometric artefacts that are “false” allow attackers to fool these biometric verification systems. Accordingly, it would be beneficial to further differentiate the acquired biometric characteristics into feature spaces relating to live and non-living biometrics to prevent non-living biometric credentials triggering biometric verification. The inventors have established a variety of “liveness” detection methodologies which can block either low complexity spoofs or more advanced spoofs. Such techniques may provide for monitoring of responses to challenges discretely or in combination with additional aspects such as the timing of user's responses, depth detection within acquired images, comparison of other images from other cameras with database data etc. | 2021-10-28 |
20210334571 | SYSTEM FOR MULTIPLE ALGORITHM PROCESSING OF BIOMETRIC DATA - A system performs processing of biometric information to create multiple templates. This allows biometric systems to be flexible and interact with a plurality of vendors' technologies. Specifically, a biometric sample is captured from a sensor and transmitted to a processing component. The biometric sample is then processed by a first algorithm to yield a biometric template and the template is stored and associated with a record identifier. The biometric sample is also processed by a second algorithm to yield a second template. The second template is stored and associated with the record identifier. | 2021-10-28 |
20210334572 | DURATION AND POTENTIAL REGION OF INTEREST FOR SUSPICIOUS ACTIVITIES - The method comprising determining a set of coordinates each for two or more appearances of a target subject within a sequence of images, the set of coordinates of the two or more appearances of the target subject defining a first path; determining a set of coordinates each for two or more appearances of a related subject within a sequence of images, the related subject relating to the target subject, the set of coordinates of the two or more appearances of the related subject defining a second path; determining one or more minimum distances between the first path and the second path so as to determine at least a region of interest; determining a timestamp of a first appearance and a timestamp of a last appearance of the target subject; and determining a timestamp of a first appearance and a timestamp of a last appearance of the related subject. | 2021-10-28 |
20210334573 | TEXT LINE NORMALIZATION SYSTEMS AND METHODS - A method for estimating text heights of text line images includes estimating a text height with a sequence recognizer. The method further includes normalizing a vertical dimension and/or position of text within a text line image based on the text height. The method may also further include calculating a feature of the text line image. In some examples, the sequence recognizer estimates the text height with a machine learning model. | 2021-10-28 |
20210334574 | COMMODITY DETECTION TERMINAL, COMMODITY DETECTION METHOD, SYSTEM, COMPUTER DEVICE, AND COMPUTER READABLE MEDIUM - A commodity detection terminal is disclosed, the commodity detection terminal includes: an image segmentation unit configured to obtain position information of each grid of a goods shelf in an image of the goods shelf based on a first image, which is an image of the goods shelf not placed with commodities; a detector unit configured to obtain a current grid where each commodity is located and a current quantity of each commodity based on a second image, which is a current image of the goods shelf placed with commodities; and a determination unit configured to compare the current grid and the current quantity with a preset grid and a preset quantity of the each commodity, so as to determine whether a status of each commodity satisfies a preset condition. A commodity detection method, an intelligent goods shelf system, a computer device, and a readable medium are also disclosed. | 2021-10-28 |
20210334575 | IMAGE ANALYSIS DEVICE, IMAGE ANALYSIS METHOD, AND PROGRAM - An image analysis device according to the present invention includes: an image capturing unit that captures a subject; a light emitting unit that emits light to the subject; a sensor unit that senses an inclination of the image capturing unit relative to the subject; a control unit that causes the image capturing unit to capture an image of the subject while controlling light emission of the light emitting unit; and a determination unit that, based on a positional relationship of the image capturing unit and the light emitting unit and the inclination, determines a measurement region spaced apart by a predetermined distance from a reflection region corresponding to a position in the image where a light from the light emitting unit regularly reflects at the subject. | 2021-10-28 |
20210334576 | EXTRACTION METHOD, COMPUTER-READABLE RECORDING MEDIUM STORING EXTRACTION PROGRAM, AND INFORMATION PROCESSING DEVICE - An extraction method executed by a computer includes: acquiring a first word input by a first user; acquiring a second word input by a second user; calculating a first distributed representation of a first character string, the first character string including the first word and a character string that identifies the first user; calculating a second distributed representation of a second character string, the second character string including the second word and a character string that identifies the second user; calculating a similarity between the first distributed representation and the second distributed representation; and extracting a word associated with the second distributed representation on a basis of the similarity. | 2021-10-28 |
20210334577 | Automated Measurement of Positional Accuracy in the Qualification of High-Accuracy Plotters - Systems and methods for assessing plotting device accuracy in aid of a process for qualifying plotter systems. The system and process involve an ideal (virtual) test pattern consisting of digital data defining a nominal grid augmented by geometric features (e.g., closed two-dimensional geometric shapes which respectively surround intersections or vertices of the nominal grid). The plotting device under test is commanded to print a test plot having a pattern that matches the test pattern, but the test plot may deviate from the test pattern. To measure the amount of deviation, first an image of the test plot on the printed medium is captured using an accurate optical scanner. Then a mathematical measurement process, implemented in a computer vision application (e.g., a software package), is employed to detect deviations of the test plot from the test pattern. A statistical analysis is then performed to determine whether the deviations are within specifications. | 2021-10-28 |
20210334578 | IMAGE PROCESSING DEVICE AND OPERATION METHOD THEREFOR - An image processing device is disclosed. The image processing device includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is further configured to obtain a first image and a classifier that indicates a purpose of image processing, and to process, by using a deep neural network (DNN), the first image according to the purpose indicated by the classifier, wherein the DNN processes input images according to different purposes. | 2021-10-28 |
20210334579 | METHOD AND APPARATUS FOR PROCESSING VIDEO FRAME - A method and apparatus for processing a video frame are provided. The method may include: converting, using an optical flow generated based on a previous frame and a next frame of adjacent frames in a video, a feature map of the previous frame to obtain a converted feature map; determining, based on an error of the optical flow, a weight of the converted feature map, and obtaining a fused feature map based on a weighted result of a feature of the converted feature map and a feature of a feature map of the next frame; and updating the feature map of the next frame as the fused feature map. | 2021-10-28 |
20210334580 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND IMAGE PROCESSING SYSTEM - An image processing device including a storage unit configured to store an object detection neural network trained using a first K-channel image generated from a first M-channel image and a first N-channel image generated from the first M-channel image, a reception unit configured to receive, from a sensor, a second M-channel image and a second N-channel image that include an identical subject, and an image analysis unit configured to generate, using the object detection neural network trained using the first K-channel image, object detection result information with respect to a second K-channel image generated from the second M-channel image and the second N-channel image, and output the object detection result information. | 2021-10-28 |
20210334581 | METHOD FOR AUTHENTICATION OR IDENTIFICATION OF AN INDIVIDUAL - A method for authentication or identification of an individual, comprising the implementation by data processing means ( | 2021-10-28 |
20210334582 | SATELLITE IMAGERY - A system for detecting changes between two temporally different images includes an image divider, a Convolutional Neural Network (CNN) feature encoder, an image alignment system, a feature comparator, a CNN feature decoder and segmenter, and a block combiner. The image divider divides a first and second image into a plurality of image blocks. CNN feature encoder encodes the image blocks from the first and second image into first and second feature sets respectively. The image alignment system aligns the first and second image by searching for matching anchor vectors in the first and second feature sets using a similarity search. The feature comparator produces change feature sets from the first and second feature sets of the aligned image blocks, and the CNN feature decoder and segmenter creates segmented change image blocks from the change feature sets. The block combiner combines segmented change image blocks into a segmented change image. | 2021-10-28 |
20210334583 | IMAGE PROCESSING METHOD AND IMAGE PROCESSING SYSTEM - An image processing method includes analyzing multiple images data based on Illumination-invariant Feature Network (IF-NET) with an image processing device to generate corresponding sets of eigenvector, in which image data includes a first image data related to at least one first feature of the sets of eigenvector, and a second image data related to at least one second feature of the sets of eigenvector; choosing a corresponding first training set of tiles and second training set of tiles from the first image data and second image data with an image processing device based on IF-NET, and computing on both training set of tiles to generate a least one loss value; and adjusting IF-NET based on a least one loss value. An image processing system is also disclosed herein. | 2021-10-28 |
20210334584 | VISION-BASED TACTILE MEASUREMENT METHOD AND APPARATUS, CHIP, AND STORAGE MEDIUM - A vision-based tactile measurement method is provided, performed by a computer device (e.g., a chip) connected to a tactile sensor, the tactile sensor including a sensing face and an image sensing component, and the sensing face being provided with a marking pattern. The method includes: obtaining an image sequence collected by the image sensing component of the sensing face, each image of the image sequence comprising one instance of the marking pattern; calculating a difference feature of the marking patterns in adjacent images of the image sequence; and processing the difference feature of the marking patterns using a feedforward neural network to obtain a tactile measurement result, a quantity of hidden layers in the feedforward neural network being less than a threshold. | 2021-10-28 |
20210334585 | METHODS AND APPARATUS FOR MACHINE LEARNING ENGINE OPTIMIZATION - Methods, apparatus, systems and articles of manufacture are disclosed for machine learning engine optimization. An example apparatus includes a selection metric analyzer to compute a first selection metric based on a first set of ordered output values from a first candidate machine learning engine and a set of reference data values; compute a second selection metric based on a second set of ordered output values from a second candidate machine learning engine and the set of reference data values; and a machine learning engine replacer to determine whether to replace an active machine learning engine with at least one of the first candidate machine learning engine or the second candidate machine learning engine based on the first selection metric and the second selection metric. | 2021-10-28 |
20210334586 | EDGE LEARNING DISPLAY DEVICE AND METHOD - An image processing circuit stores a training database and models in memory. The image processing circuit includes an attribute identification engine to identify an attribute from an input image according to a model stored in the memory. By enhancing the input image based on the identified attribute, a picture quality (PQ) engine in the image processing circuit generates an output image for display. The image processing circuit further includes a data collection module to generate a labeled image based on the input image labeled with the identified attribute, and to add the labeled image to the training database. A training engine in the image processing circuit then re-trains the model using the training database. | 2021-10-28 |
20210334587 | METHOD AND APPARATUS FOR TRAINING A CONVOLUTIONAL NEURAL NETWORK TO DETECT DEFECTS - The present application discloses a method of training a convolutional neural network for defect inspection. The method includes collecting a training sample set including multiple solder joint images. A respective one of the multiple solder joint images includes at least one solder joint having one of different types of solder joint defects. The at least one solder joint is located substantially in a pre-defined region of interest (ROI) in a center of the image. The method further includes inputting the training sample set to a convolutional neural network to obtain target feature vectors respectively associated with the multiple solder joint images. Additionally, the method includes adjusting network parameters characterizing the convolutional neural network through a training loss function based on the target feature vectors and pre-labeled defect labels corresponding to different types of solder joint defects. The training loss function includes at least two different loss functions. | 2021-10-28 |
20210334588 | Dynamic Image Recognition and Training Using Data Center Resources and Data - A system, method, and computer-readable medium are disclosed for creating image recognition models, which can be operated on smartphone or similar device. The smartphone captures images of hardware in a data center. The captured images are processed to produce a full set of annotated images. The full set is minimized to a simplified set and trained to create a mobile image recognition model implemented by the smartphone or similar device. | 2021-10-28 |
20210334589 | UNIFIED PEOPLE CONNECTOR - Systems and methods for identifying individuals with a user-requested expertise are provided. For example, the system can include a processor configured to receive a user input and extract one or more keywords from the input. The processor can generate search requests based upon the one or more keywords, each search request identifying at least one application programming interface (API) call configured to invoke at least one API function as exposed by a software application. The processor can transmit the search requests to the software applications and receive search responses. The processor can determine a plurality of software application users and a set of associated evidence, each set of associated evidence including user interactions with each of the software applications. The processor can aggregate the evidence into an aggregated data set and configure the aggregated data set as an input to a machine learning classifier for ranking the sets of evidence. | 2021-10-28 |
20210334590 | AUTOMATED IMAGE CURATION FOR MACHINE LEARNING DEPLOYMENTS - The present disclosure provides techniques for data curation and image evaluation. A first image is captured, and a first indication of a first item is received. A first identifier of the first item is then identified based on the first indication. Further, based on the first indication, it is determined that the first image depicts the first item. The first image is labeled with the first identifier, and a machine learning (ML) model of an ML system is trained based on the labeled first image. | 2021-10-28 |
20210334591 | TRAINING SET ENRICHMENT WITH INSIGNIFICANTLY-ABNORMAL MEDICAL IMAGES - A method including: automatically detecting, using at least one machine learning algorithm, one or more abnormalities depicted in a medical image of a patient; automatically determining whether the one or more abnormalities have remained temporally and unchanged, based on an older medical image of the patient; and upon determining that the one or more abnormalities have remained temporally and spatially unchanged: automatically inpainting the one or more abnormalities in the medical image, and automatically enrich a new training set with the inpainted medical image. | 2021-10-28 |
20210334592 | REINFORCEMENT LEARNING MODEL FOR LABELING SPATIAL RELATIONSHIPS BETWEEN IMAGES - A computing system is provided, including a processor configured to receive a labeling map for a first image. The labeling map may indicate a spatial relationship between a first region of interest included in the first image and a second region of interest included in a second image. At a trained reinforcement learning model, the processor may be further configured to generate an updated labeling map for the first image based on at least the labeling map, the first image, and the second image. | 2021-10-28 |
20210334593 | RECOMMENDING SCRIPTS FOR CONSTRUCTING MACHINE LEARNING MODELS - An example method includes building a set of test data for a machine learning model, in response to receiving a target data set from a user, wherein the target data set is a data set on which the machine learning model is to be trained to operate, identifying a subset of predefined features engineering action scripts from among a plurality of predefined features engineering action scripts, wherein the subset is determined to be applicable to the set of test data, and automatically generating a recommended features engineering action script for operating on the target data set, wherein the automatically generating includes customizing a parameter of a predefined features engineering action script of the subset to extract data values from locations in the target data set, and wherein the recommended features engineering action script is recommended to the user for inclusion in a features engineering component of the machine learning model. | 2021-10-28 |
20210334594 | SCALABLE TRAINING DATA CAPTURE SYSTEM - An imaging station includes a rotating pedestal, a camera mover, multiple light sources, and back lit screens. It also includes a computer with all of the software to control the imaging station. The output of the imaging station is a set of images of an object that represents a subset of the ideal set, which can be used to train an object detector. | 2021-10-28 |
20210334595 | METHODS AND SYSTEMS FOR IMAGE AND VOICE PROCESSING - Systems and methods are disclosed configured to train an autoencoder using images that include faces, wherein the autoencoder comprises an input layer, an encoder configured to output a latent image from a corresponding input image, and a decoder configured to attempt to reconstruct the input image from the latent image. An image sequence of a face exhibiting a plurality of facial expressions and transitions between facial expressions is generated and accessed. Images of the plurality of facial expressions and transitions between facial expressions are captured from a plurality of different angles and using different lighting. An autoencoder is trained using source images that include the face with different facial expressions captured at different angles with different lighting, and using destination images that include a destination face. The trained autoencoder is used to generate an output where the likeness of the face in the destination images is swapped with the likeness of the source face, while preserving expressions of the destination face. | 2021-10-28 |
20210334596 | AUTOMATICALLY LABELING DATA USING CONCEPTUAL DESCRIPTIONS - A system for automatically labeling data using conceptual descriptions. In one example, the system includes an electronic processor configured to generate unlabeled training data examples from one or more natural language documents and, for each of a plurality of categories, determine one or more concepts associated with a conceptual description of the category and generate a weak annotator for each of the one or more concepts. The electronic processor is also configured to apply each weak annotator to each training data example and, when a training data example satisfies a weak annotator, output a category associated with the weak annotator. For each training data example, the electronic processor determines a probabilistic distribution of the plurality of categories. For each training data example, the electronic processor labels the training data example with a category having the highest value in the probabilistic distribution determined for the training data example. | 2021-10-28 |
20210334597 | CONFIDENT PEAK-AWARE RESPONSE TIME ESTIMATION BY EXPLOITING TELEMETRY DATA FROM DIFFERENT SYSTEM CONFIGURATIONS - A prediction manager for providing responsiveness predictions for deployments includes persistent storage and a predictor. The persistent storage stores training data and conditioned training data. The predictor is programmed to obtain training data based on: a configuration of at least one deployment of the deployments, and a measured responsiveness of the at least one deployment, perform a peak extraction analysis on the measured responsiveness to obtain conditioned training data, obtain a prediction model using: the training data, and a first untrained prediction model, obtain a confidence prediction model using: the conditioned training data, and a second untrained prediction model, obtain a combined prediction using: the prediction model, and the confidence prediction model, and perform, based on the combined prediction, an action set to prevent a responsiveness failure. | 2021-10-28 |
20210334598 | IMAGE HARMONIZATION FOR DEEP LEARNING MODEL OPTIMIZATION - Techniques are described for optimizing deep learning model performance using image harmonization as a pre-processing step. According to an embodiment, a method comprises decomposing, by a system operatively coupled to a processor, an input image into sub-images. The method further comprises harmonizing the sub-images with corresponding reference sub-images of at least one reference image based on two or more different statistical values respectively calculated for the sub-images and the corresponding reference-sub images, resulting in transformation of the sub-images into modified sub-images images. In some implementations, the modified sub-images can be combined into a harmonized image having a more similar appearance to the at least one reference image relative to the input image. In other implementations, harmonized images and/or modified sub-images generated using these techniques can be used as ground-truth training samples for training one or more deep learning model to transform input images with appearance variations into harmonized images. | 2021-10-28 |
20210334599 | TRAINING A DEEP NEURAL NETWORK MODEL TO GENERATE RICH OBJECT-CENTRIC EMBEDDINGS OF ROBOTIC VISION DATA - Training a machine learning model (e.g., a neural network model such as a convolutional neural network (CNN) model) so that, when trained, the model can be utilized in processing vision data (e.g., from a vision component of a robot), that captures an object, to generate a rich object-centric embedding for the vision data. The generated embedding can enable differentiation of even subtle variations of attributes of the object captured by the vision data. | 2021-10-28 |
20210334600 | AUTOMATED VISUAL SUGGESTION, GENERATION, AND ASSESSMENT USING COMPUTER VISION DETECTION - An online system may identify content with which a user has an interest. For example, the online system may determine that a user has an interest in the content based on interaction information indicating that the user interacted with the content. In a particular example, the online system may identify image concepts included in the content based on computer vision techniques that recognize the image concepts. The online system may model probabilities that image concepts will appeal to users. Based on the modeled probabilities, the online system may automatically recommend image concepts for inclusion in candidate images, automatically generate candidate images, or assess candidate images to determine a probability of user interaction with the assessed candidate images. | 2021-10-28 |
20210334601 | SPATIAL LOCALIZATION DESIGN SERVICE - A synthetic world interface may be used to model digital environments, sensors, and motions for the evaluation, development, and improvement of localization algorithms. A synthetic data cloud service with a library of sensor primitives, motion generators, and environments with procedural and game-like capabilities, facilitates engineering design for a manufactural solution that has localization capabilities. In some embodiments, a sensor platform simulator operates with a motion orchestrator, an environment orchestrator, an experiment generator, and an experiment runner to test various candidate hardware configurations and localization algorithms in a virtual environment, advantageously speeding development and reducing cost. Thus, examples disclosed herein may relate to virtual reality (VR) or mixed reality (MR) implementations. | 2021-10-28 |
20210334602 | Method and Apparatus for Recognizing Text Content and Electronic Device - The present application discloses a method and an apparatus for recognizing text content, and an electronic device, and relates to a text recognition technique in the field of computer technology. The specific implementation is as follows: acquiring a dial picture; detecting at least one text centerline and a bounding box corresponding to each text centerline in the dial picture; and recognizing text content in each line of text in the dial picture based on the at least one text centerline and the bounding box corresponding to each text centerline. | 2021-10-28 |
20210334603 | DIVIDING PATTERN DETERMINATION DEVICE CAPABLE OF REDUCING AMOUNT OF COMPUTATION, DIVIDING PATTERN DETERMINATION METHOD, LEARNING DEVICE, LEARNING METHOD, AND STORAGE MEDIUM - A dividing pattern determination device capable of reducing the amount of computation performed when determining a dividing pattern of an image. An image for which a dividing pattern is expressed by a hierarchical structure for each predetermined area is input to a feature extraction section, and the feature extraction section generates, based on the input image, for the predetermined area, a hierarchy map in which a value indicative of a block size is associated with each of a plurality of blocks in the predetermined area. A determination section determines a dividing pattern of the image based on the generated hierarchy map. | 2021-10-28 |
20210334604 | FACIAL RECOGNITION METHOD AND APPARATUS - A face recognition method includes: acquiring an image to be recognized; and recognizing the image to be recognized based on a cross-modal face recognition network to obtain a recognition result of the image to be recognized, wherein the cross-modal face recognition network is obtained by training based on face image data in different modalities. | 2021-10-28 |
20210334605 | IMAGE CLASSIFICATION NEURAL NETWORKS - A neural network system that includes: multiple subnetworks that includes: a first subnetwork including multiple first modules, each first module including: a pass-through convolutional layer configured to process the subnetwork input for the first subnetwork to generate a pass-through output; an average pooling stack of neural network layers that collectively processes the subnetwork input for the first subnetwork to generate an average pooling output; a first stack of convolutional neural network layers configured to collectively process the subnetwork input for the first subnetwork to generate a first stack output; a second stack of convolutional neural network layers that are configured to collectively process the subnetwork input for the first subnetwork to generate a second stack output; and a concatenation layer configured to concatenate the pass-through output, the average pooling output, the first stack output, and the second stack output to generate a first module output for the first module. | 2021-10-28 |
20210334606 | Neural Network Categorization Accuracy With Categorical Graph Neural Networks - Neural network-based categorization can be improved by incorporating graph neural networks that operate on a graph representing the taxonomy of the categories into which a given input is to be categorized by the neural network based-categorization. The output of a graph neural network, operating on a graph representing the taxonomy of categories, can be combined with the output of a neural network operating upon the input to be categorized, such as through an interaction of multidimensional output data, such as a dot product of output vectors. In such a manner, information conveying the explicit relationships between categories, as defined by the taxonomy, can be incorporated into the categorization. To recapture information, incorporate new information, or reemphasize information a second neural network can also operate upon the input to be categorized, with the output of such a second neural network being merged with the output of the interaction. | 2021-10-28 |
20210334607 | Systems and Methods for Image Classification - In one aspect, a method for inspecting features of an image using an image inspection controller that includes a processor communicatively coupled to a memory is described. The method includes receiving, at the processor, an input image, performing, on the input image, one of a semantic segmentation process and an object classification process to generate an output image, and prompting a user to select between approving the displayed output image, and at least one of i) performing an additional semantic segmentation process on the displayed output image, and ii) performing an additional object classification process on the displayed output image. | 2021-10-28 |
20210334608 | Abnormal Wafer Image Classification - A semiconductor image classifier. Convolution functions are applied to modify the wafer images in order to extract key information about the image. The modified images are condensed then processed through a series of pairwise classifiers, each classifier configured to determine that the image is more like one of the pair than the other. Probabilities from each classifier are collected to form a prediction for each image. | 2021-10-28 |
20210334609 | IMAGE PROCESSING METHOD AND APPARATUS WITH NEURAL NETWORK ADJUSTMENT - A method and apparatus for adjusting a neural network that classifies a scene of an input image into at least one class is provided. The method generates a feature image having a size that is less than a size of an input image by applying a convolutional network to the input image, determines at least one class corresponding to the feature image, generates a class image having a size corresponding to the size of the input image by applying a deconvolutional network to the feature image, calculates a loss of the class image based on a verification class image preset with respect to the input image, and adjusts the neural network based on the loss. | 2021-10-28 |
20210334610 | Fixation Generation For Machine Learning - The disclosure extends to methods, systems, and apparatuses for automated fixation generation and more particularly relates to generation of synthetic saliency maps. A method for generating saliency information includes receiving a first image and an indication of one or more sub-regions within the first image corresponding to one or more objects of interest. The method includes generating and storing a label image by creating an intermediate image having one or more random points. The random points have a first color in regions corresponding to the sub-regions and a remainder of the intermediate image having a second color. Generating and storing the label image further includes applying a Gaussian blur to the intermediate image. | 2021-10-28 |
20210334611 | PRINT CONTROL APPARATUS AND PRINT CONTROL METHOD CAPABLE OF EXECUTING PRINTING WITH PAPER INSERTION FUNCTION - According to an embodiment, provided is a print control apparatus including: a processor; and a memory, where the memory stores instructions that cause the processor to: accept, when printing with paper insertion function is to be performed, a setting by a user related to the paper insertion function; acquire information related to a paper setting of at least one of at a point of time of setting the paper insertion function, before the point of time, and after the point of time, as paper information; and determine a default setting of a menu which accepts the setting of the paper insertion function based on the acquired paper information. | 2021-10-28 |
20210334612 | GENERATING MODIFIED IMAGES FROM SEED IMAGES - In an example, a method includes selecting a unique identifier corresponding to a set of rules. At least one modified image is generated from a seed image using a processor by determining and applying an image attribute modification to the seed image according to at least one rule in the set of rules of the unique identifier. The modified image is placed in a predefined position according to at least one rule in the set of rules of the unique identifier. | 2021-10-28 |
20210334613 | INFORMATION PROCESSING APPARATUS, CONTROL METHOD THEREOF, AND STORAGE MEDIUM FOR CONTROLLING AN IMAGE FORMING APPARATUS - An information processing apparatus obtains capability information of a printing apparatus, wherein the capability information is including a predetermined text and a sheet type that the printing apparatus can use in printing; displays, in a display unit, a first option that the printing apparatus carries out printing for a sheet of a selected sheet type, based on the predetermined text included in the capability information, and displays a second option that the printing apparatus carries out printing for a sheet of the sheet type included in the capability information based on the sheet type included in the capability information; generates a print job including the option set through the screen; and sends the generated print job to the printing apparatus. | 2021-10-28 |
20210334614 | Credit Card Authenticator Transceiver Apparatus - A credit card authenticator transceiver apparatus for wirelessly and securely sending funds includes a card body. A magnet strip is coupled to a back side of the card body proximal a top edge. A CPU is coupled within the card body. A battery is coupled within the card body and is in operational communication with the CPU. An auxiliary chip is coupled to a front side of the card body adjacent a left edge. The auxiliary chip is in operational communication with the CPU. A camera is coupled to the card body and extends through the front side. The camera is in operational communication with the CPU. A solar cell strip is coupled to the front side of the card body and is in operational communication with the CPU. A transceiver is coupled within the card body and is in operational communication with the CPU. | 2021-10-28 |
20210334615 | SMART CARD - A smartcard having a security controller, a fingerprint sensor, and an energy supply circuit configured to supply the security controller and the fingerprint sensor with energy, wherein the security controller and the fingerprint sensor are configured to communicate with one another by means of inductive coupling. | 2021-10-28 |
20210334616 | METHOD OF MANUFACTURING MINI SMART CARD - A mini smart card and a method of manufacturing the mini smart card are introduced. The method includes disposing bilayered print layers on a top side and a bottom side of a circuit layer, respectively; performing a heat-compression treatment and then a printing treatment on the circuit layer and the bilayered print layers; removing surface layers from the bilayered print layers; and disposing transparent protective layers on the bilayered print layers, respectively. The bilayered print layers are prevented from deforming under the heat generated during the printing treatment. Removal of the surface layers from the bilayered print layers effectively reduces the thickness of the mini smart card. | 2021-10-28 |
20210334617 | MEMORY CARD WITH MULTIPLE MODES, AND HOST DEVICE CORRESPONDING TO THE MEMORY CARD - According to one embodiment, there is provided a memory card including a first surface, a second surface, and 1 | 2021-10-28 |
20210334618 | MODE-CHANGEABLE POWER SUPPLY CIRCUIT AND SMART CARD INCLUDING THE SAME - A smart card includes an antenna to transmit and to receive a radio frequency signal, a rectifier to rectify a signal received through the antenna to output a rectified voltage, a voltage regulator to operate in a first operation mode for stabilizing a level of the rectified voltage and a second operation mode for generating an internal voltage using the rectified voltage, a regulator converter to control the voltage regulator to operate the voltage regulator in one of the first operation and the second operation according to a mode selection signal, a clamp circuit to connect an output terminal of the rectifier to a ground according to the mode selection signal, a load modulator to vary a resistance of the antenna to perform a load modulation, and a regulator controller to generate the mode selection signal according to whether the load modulator is activated or deactivated. | 2021-10-28 |
20210334619 | PORTABLE ELECTRONIC DEVICE AND ELECTRONIC SYSTEM - A portable electronic device adapted for connecting to a base is provided. The base has a first connector and an RFID tag. The portable electronic device includes a casing, a second connector, a cover, a control module and an RFID sensor. The second connector is disposed on a lateral surface of the casing and is adapted for connecting to the first connector. The cover is movably disposed on the lateral surface of the casing and corresponds to the second connector, so as to cover or expose the second connector. The RFID sensor is disposed in the casing and is adjacent to the lateral surface. The RFID sensor detects the RFID tag to generate a signal. The control module is disposed in the casing and coupled to the RFID sensor and the cover. The control module controls the cover to move to expose the second connector according to the signal. | 2021-10-28 |
20210334620 | SYSTEMS AND METHODS FOR GENERATING SECURE TAGS - Systems and methods are provided for decoding secure tags using an authentication server and secure tag reader. The system can include at least one processor and at least one non-transitory memory. The memory can contain instructions that, when executed by the at least one processor, cause the secure tag reader to perform operations. The operations can include detecting a potential secure tag in an image and generating a normalized secure tag image using the image and a stylesheet. The operations can further include providing an identification request to an authentication server, the identification request including the normalized secure tag image. The operations can additionally include receiving rules for decoding tag data encoded into the secure tag as tag feature options and decoding the tag data using the received rules. | 2021-10-28 |
20210334621 | ARITHMETIC PROCESSING SYSTEM USING HIERARCHICAL NETWORK - A smartphone | 2021-10-28 |
20210334622 | METHOD, APPARATUS AND STORAGE MEDIUM FOR GENERATING AND APPLYING MULTILAYER NEURAL NETWORK - A method for generating a multilayer neural network including acquiring a multilayer neural network, wherein the multilayer neural network includes at least convolutional layers and quantization layers; generating, for each of the quantization layers in the multilayer neural network, quantization threshold parameters based on a quantization bit parameter and a learnable quantization interval parameter in the quantization layer; and updating the multilayer neural network to obtain a fixed-point neural network based on the generated quantization threshold parameters and operation parameters for each layer in the multilayer neural network. | 2021-10-28 |
20210334623 | NATURAL GRAPH CONVOLUTIONS - A method for generating a graph convolutional network includes receiving a graph network comprising nodes connected by edges. A node neighborhood is determined for each of the nodes of the graph network and an edge neighborhood is determined for each of the edges of the graph network. The node neighborhood for each of the nodes and the edge neighborhood for each of the edges are classified based on isomorphism. A mapping of a kernel from an edge neighborhood class representative to each of the edges of the graph network is determined. The graph convolutional network is generated based on the kernel mapping. | 2021-10-28 |
20210334624 | NEURAL ARCHITECTURE SEARCH USING A PERFORMANCE PREDICTION NEURAL NETWORK - A method for determining an architecture for a task neural network configured to perform a particular machine learning task is described. The method includes obtaining data specifying a current set of candidate architectures for the task neural network; for each candidate architecture in the current set: processing the data specifying the candidate architecture using a performance prediction neural network having multiple performance prediction parameters, the performance prediction neural network being configured to process the data specifying the candidate architecture in accordance with current values of the performance prediction parameters to generate a performance prediction that characterizes how well a neural network having the candidate architecture would perform after being trained on the particular machine learning task; and generating an updated set of candidate architectures by selecting one or more of the candidate architectures in the current set based on the performance predictions for the candidate architectures in the current set. | 2021-10-28 |
20210334625 | WEBINTERFACE GENERATION AND TESTING USING ARTIFICIAL NEURAL NETWORKS - The technology disclosed relates to webinterface generation and testing to promote a predetermined target user behavior. In particular, the technology disclosed stores a candidate database having a population of candidate individuals. Each of the candidate individuals identify respective values for a plurality of hyperparameters of the candidate individual. The hyperparameters describe topology of a respective neural network and coefficients for interconnects of the respective neural network. The technology disclosed writes a preliminary pool of candidate individuals into the candidate individual population. The technology disclosed tests each of the candidate individuals in the candidate individual population. The technology disclosed adds to the candidate individual population new individuals based on the testing. The technology disclosed repeats the candidate testing and the addition of the new individuals. | 2021-10-28 |
20210334626 | GNSS-RECEIVER INTERFERENCE DETECTION USING DEEP LEARNING - Systems and methods are described for classification of interference for GNSS receivers. One or more neural networks are utilized to classify RF signal data received by a GNSS receiver. The classification associates the RF signal data with an RF environment. Appropriate interference mitigation techniques can be implemented by the receiver based on the classification. | 2021-10-28 |
20210334627 | METHODS AND SYSTEMS FOR PREDICTING - Methods and systems for predicting are disclosed. Records for transactions can be stored, each record comprising an indication identifying items involved in a transaction and an indication of a time elapsed between the transaction and a previous transaction. The records for transactions can be analyzed to produce a probability that the items will be involved in a next transaction. | 2021-10-28 |