Abstract: An automated health check device and methods, the device comprising: at least one imaging sensor configured for capturing at least one image of at least an area confined by a window of the vehicle; at least one vital signs sensor configured for measuring a health parameter of a passenger at the area confined by the window; and at least one processor configured for: acquiring and analyzing the at least one image to determine location of the window; determining based on the determined location of the window a location of the passenger; determining the at least one vital signs sensor being oriented to a predetermined point of view in relation to the location of the passenger determined; and obtaining a measurement of the health parameter of the passenger from the at least one vital signs sensor.

Abstract: Input coordinates identify a tile on the globe and a biome is identified for each pixel of the tile. We choose a random segmentation mask of the corresponding biome for the tile. Every segment of the mask carries a unique identifier and access to a random value via a corner reference. These parameters ensure that (when executed in parallel) each pixel with the same identifier and random value is handled the same way. For each pixel of the tile, using the selected mask, we identify the segment corresponding to that pixel, we retrieve a color variation for that pixel based upon the segment identifier and the random value. We thus choose a color variation for each segment of a segmentation mask. Pixels in the same segment are treated the same way. Instead of a color variation for flat areas (crop fields) we choose a density variation for regions like forests.

Abstract: A method for authorizing operation permissions of form data is disclosed in the present invention, including a step of selecting form data, where one or more pieces of form data, operation permissions of which need to be authorized are selected; a step of selecting a grantee, where one or more grantees to which operation permissions need to be authorized are selected; and a step of authorizing operation permissions, where the operation permissions of the selected form data are authorized to the selected grantee.

Abstract: The present disclosure describes techniques of pushing information associated with the at least one location that is associated with a video. The disclosed techniques comprises obtaining video data, wherein the video data comprise a plurality frames of a video and information associated with the video; determining at least one location associated with at least one frame among the plurality of frames of the video based on comparing the video data with data included in a database; determining information associated with the at least one location; and pushing the information associated with the at least one location to a first computing device based on a time point of playing the at least one frame among the plurality of frames of the video.

Abstract: A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include receiving data representing an image, the image being represented in the data by a collection of visual elements. Operations also include determining whether to select the image for presentation by one or more entities using a machine learning system, the machine learning system being trained using data representing a plurality of training images and data representing one or more attributes regarding image presentation by the one or more entities.

Abstract: Disclosed is a wearable apparatus configured for monitoring a user's environment and items in a user's environment. The wearable apparatus comprises a plurality of communication circuits configured to communicate using a plurality of communication protocols. The wearable device is configured to use sensors to automatically detect organisms in a user's environment and issue and warnings related to a detected organism. The wearable device is configured to communicate with a plurality of health sensors that may be separate modules using a plurality of communication protocols and combine the health reading into user health status data. The user status data may be transmitted along with verification tags to remote devices.

Abstract: A system for physical-virtual environment fusion includes a sensor with a computing system and a memory in communication with the computing system, the memory storing a plurality of endpoints. The computing system is configured to select a semantic identity of an object from among a group of objects indicated by a user pointer indicator by determining, based on inputs from the sensor, the approximate orientation of the user pointer indicator towards a first endpoint from among the plurality of endpoints, the first endpoint having the group of objects located within the first endpoint. It further renders, on a display surface, the group of objects, receives from the user an indication regarding the semantic identity of the object and presents, on the display surface, an indication of the selection of the object from among the group of objects based on the further indications from the user.

Abstract: Aspects of the present disclosure relate to machine learning techniques for identifying the incremental impact of different past events on the likelihood that a target outcome will occur. The technology can use a recurrent neural network to analyze two different representations of an event sequence—one in which some particular event occurs, and another in which that particular event does not occur. The incremental impact of that particular event can be determined based on the calculated difference between the probabilities of the target outcome occurring after these two sequences.

Abstract: Systems and methods for identifying a pattern in data to detect a behavior of interest. The systems and methods receive a data stream representing a series of events occurring over a time interval. The systems and methods determine, for the interval, a depth indicating the amount of interest during the interval, where the interest represents an amount of a selected activity during that interval for a selected parameter. The systems and methods also generate a depth chart for the activities at different values of the selected parameter over a series of intervals, train a machine-learning image-classification model using depth chart images; identify the behavior of interest using predictions from the trained machine-learning model and target pattern; and provide an indication of the presence or absence of the behavior of interest. The parameter can represent a quantity and associated price of a commodity in a market.

Abstract: An around-view image processing method comprises: generating a first around-view image signal obtained by image synthesis using image information acquired from a plurality of cameras; generating a second around-view image signal obtained by image correction using image information acquired from the plurality of cameras over a predetermined period of time; and outputting the second around-view image signal or outputting the first around-view and second around-view image signals. When the first around-view and second around-view image signals are output, the around-view image processing method may further comprise selecting one image signal from the first around-view and second around-view image signals, and outputting the image signal selected from the first around-view and second around-view image signals.

Abstract: A system includes a computer including a processor and a memory, the memory storing instructions executable by the processor to actuate a vehicle to execute a maneuver. The instructions include instructions to determine one of that a human operator is in the vehicle or that a human operator is not in the vehicle. The instructions include instructions to select one, and only one, of an in-vehicle human machine interface physically connected to the vehicle or a mobile user device wirelessly connected for providing commands to the vehicle based on whether a human operator is in the vehicle or is not in the vehicle. The instructions include instructions to actuate the vehicle based on commands from, and only based on commands from, the selected one of the in-vehicle human machine interface and the mobile user interface.

Abstract: A media source is configured to provide a media stream that includes an audio-video recording. A first algorithm detects a presence of synthetic media in a video based on a first feature type. A second algorithm detects the presence of synthetic media based on a second feature type. A device determines that the first feature type is presented in a selected portion of the image frames but the second feature type is not. In response, the first algorithm is executed using the selected portion of the image frames as an input. Based on the executed first algorithm, a probability is determined that the media stream provided by the media source includes synthetic media.

Abstract: Techniques are described for determining visibility conditions of an environment in which an autonomous vehicle is operated and performing driving related operations based on the visibility conditions. An example method of adjusting driving related operations of a vehicle includes determining, by a computer located in an autonomous vehicle, a visibility related condition of an environment in which the autonomous vehicle is operating, adjusting, based at least on the visibility related condition, a set of one or more values of one or more variables associated with a driving related operation of the autonomous vehicle, and causing the autonomous vehicle to be driven to a destination by causing the driving related operation of one or more devices located in the autonomous vehicle based on at least the set of one or more values.

Abstract: A computer-implemented method includes identifying behavioral characteristics of a user related to operation of a computing device prior to an online account session. The method includes comparing the behavioral characteristics to a behavioral profile previously developed based on prior behavioral characteristics of the user, and determining an appropriate mark difficulty level based on a variation between the behavioral characteristics and the behavioral profile. The method includes selecting, from a plurality of prompts stored in a prompt database, a prompt that comprises instructions to draw a mark having the appropriate mark difficulty level, where other prompts of the plurality of prompts comprise instructions to draw other marks different from the mark, and providing the prompt to the user as part of a logon process for the online account session.

Abstract: Methods, systems, and apparatus for motion-based human video detection are disclosed. A method includes generating a representation of a difference between two frames of a video; providing, to an object detector, a particular frame of the two frames and the representation of the difference between two frames of the video; receiving an indication that the object detector detected an object in the particular frame; determining that detection of the object in the particular frame was a false positive detection; determining an amount of motion energy where the object was detected in the particular frame; and training the object detector based on penalization of the false positive detection in accordance with the amount of motion energy where the object was detected in the particular frame.

Abstract: A system may include one or more processors configured to receive a plurality of images representing an environment. The images may include image data generated by an image capture device. The processors may also be configured to transmit the image data to an image segmentation network configured to segment the images. The processors may also be configured to receive sensor data associated with the environment including sensor data generated by a sensor of a type different than an image capture device. The processors may be configured to associate the sensor data with segmented images to create a training dataset. The processors may be configured to transmit the training dataset to a machine learning network configured to run a sensor data segmentation model, and train the sensor data segmentation model using the training dataset, such that the sensor data segmentation model is configured to segment sensor data.

Abstract: A survey machine capturing control part captures a captured image including a 2D mark on a survey object using a telescope. A survey machine recognizing control part detects a 2D mark image as a captured pattern, and recognizes a specific identification pattern by collating the detected captured pattern with an identification pattern of a 2D mark. A survey machine information displaying control part acquires and displays survey information on the captured image. A calculating control part calculates differences between a mark center position of 2D coordinates and a center position of 2D coordinates of a crosshair of the telescope. An adjusting control part adjusts a direction of the telescope so that the center position of the crosshair matches the mark center position. A ranging control part ranges the mark center position as measured values of coordinates. An information storing control part stores the measured values in the mark information table.

Abstract: The present disclosure relates to a system, method and non-transitory computer readable medium for reverse image searching. The system includes a storage device storing a set of instructions; and one or more processors in communication with the storage device. When executing the set of instructions, the one or more processors: obtain a target part of reference image features of a reference image; obtain a target part of target image features of a target image; determine, based on the target part of the reference image features and the target part of the target image features, whether the target image is similar to the reference image; and mark, upon a determination that the target image is similar to the reference image, the target image as a similar image of the reference image.

Abstract: Various embodiments provide for a smart table display system. The smart table display system includes a display surface having a touchscreen, a microphone configured to receive a conversation input, a communications device configured to communicate with a provider database and a user device, and a processing circuit. The processing circuit is configured to retrieve, by the communications device, provider data and third party data based on the conversation input. The processing circuit is also configured to generate a graphical user interface that includes a graphic that depicts a financial health of the user based on the conversation input, the provider data, and the third party data. The graphic is built in real-time while the conversation input is received. The processing circuit is also configured to provide the graphical user interface on the display surface.

Abstract: Devices and techniques are generally described for three dimensional mesh generation. In various examples, first two-dimensional (2D) image data representing a human may be received. In various further examples, bounding box data identifying a location of the human in the first 2D image data and joint data identifying locations of joints of the human may be received. Second 2D image data representing a cropped portion of the human may be generated using the bounding box data and the joint data. A three-dimensional (3D) mesh prediction model may be used to determine a pose, a shape, and a projection matrix for the human. The 3D mesh prediction model may be used to determine a transformed projection matrix for the portion of the human represented in the second 2D image data.

Abstract: A control system of a charged particle beam apparatus obtains a first coefficient by performing multiple resolution analysis based on wavelet transform or discrete wavelet transform on at least a part of an image or a signal acquired by the charged particle beam apparatus. The control system obtains a second coefficient by performing, on at least a part of the first coefficient or an absolute value of the first coefficient, any one of calculation of a maximum value, calculation of a numerical value corresponding to a specified order in an order related to a magnitude, fitting to a histogram, calculation of an average value, and calculation of a total sum.

Abstract: A true-color device used to view a true color of a color displayed on a monitor. The true-color device includes a pointing device, configured to indicate a locating point on the monitor; a communication device, configured to receive color parameters sent by the monitor, wherein the color parameters are within a particular range centered on the locating point; a color-accurate monitor, configured to display a color according to the color parameters; and an input device, configured to control the display parameters of the color-accurate monitor to make the color-accurate monitor display the color according to the display parameters and the color parameters.

Abstract: A checking device for a label, with a processor for the detection of the label and a layout unit for the creation of a layout of the label from layout data, wherein the checking device comprises a data converter device configured in such a way that it generates test data from layout data in memory in order to control the processor. A data converter device for use in a checking device, wherein the data converter device is configured in such a way that it generates test data from layout data in memory for checking the label.

Abstract: A processor may generate a plurality of intermediate feature layers of an image using convolutional neural network (CNN) processing. For each intermediate feature layer, the processor may generate a plurality of text proposals using a region proposal network (RPN). Each text proposal may comprise a portion of the intermediate feature layer that is predicted to contain text. The processor may perform OCR processing on image data within a plurality of regions of the image to generate a text result for each region. Each region may comprise at least one of the text proposals. The processor may assemble the text results into a text string comprising the text results ordered according to a spatial order in which the plurality of regions appear within the image.

Abstract: The primary purpose of the present invention is to enable devices/machines/systems to perform an optimized video analytics on images and videos. The present invention focuses on detecting, tracking, and classifying objects in a scene. Here, the tracking is performed by comparing objects across at least two frames and then associating the objects based on a cost matrix. Some examples of the objects include, but are not limited to, persons, animals, vehicles, or any other articles or items.

Abstract: An information processing apparatus includes a processor configured to acquire image data from preprocessing, calculate information related to accuracy of a result of processing for each partial region of an image corresponding to the acquired image data, and notify the preprocessing of the calculated information related to the accuracy and information for specifying a corresponding partial region.

Abstract: A method for pose estimation includes receiving an image containing an object, a first pose of the object in the image, and 3D boundary features of a model corresponding to the object; computing a first pose confidence of the first pose based on the image, the 3D boundary features, and the first pose; perturbing the first pose to obtain a second pose; computing a second pose confidence of the second pose based on the image, the 3D boundary features, and the second pose; determining if the second pose confidence is greater than the first pose confidence, and; and outputting the second pose and the second pose confidence if the second pose confidence is greater than the first pose confidence.

Abstract: a method for correcting an error in image printing, the method includes receiving a reference digital image (RDI). Based on a predefined selection criterion, one or more regions in the RDI that are suitable for use as anchor features for sensing the error, are selected. A digital image (DI) acquired from a printed image of the RDI, is received and the one or more regions are identified in the DI. Based on the anchor features of the DI, the error is estimated in the printed image. A correction that, when applied to the DI, compensates for the estimated error, is calculated. The estimated error is corrected in a subsequent digital image (SDI) to be printed, and the SDI having the corrected error, is printed.

Abstract: A system for determining compression rates for images, the system comprising a processing resource configured to: obtain a given image at least partially comprising a given text; compress the given image at a given compression ratio, giving rise to a compressed image; perform Optical Character Recognition (OCR) on the compressed image, giving rise to OCR text; compare the OCR text to the given text, giving rise to comparison results; upon the comparison results meeting a rule, increase the given compression rate; and upon the compression results not meeting a rule, return to a previous compression rate, if any.

Abstract: Detection of typed and/or pasted text, caret tracking, and active element detection for a computing system are disclosed. The location on the screen associated with a computing system where the user has been typing or pasting text, potentially including hot keys or other keys that do not cause visible characters to appear, can be identified and the physical position on the screen where typing or pasting occurred can be provided based on the current resolution of where one or more characters appeared, where the cursor was blinking, or both. This can be done by identifying locations on the screen where changes occurred and performing text recognition and/or caret detection on these locations. The physical position of the typing or pasting activity allows determination of an active or focused element in an application displayed on the screen.

Abstract: The present invention provides an efficient image classification method based on structured pruning, which incorporates a spatial pruning method based on variation regularization, including steps such as image data preprocessing, inputting images to neural network, image model pruning and retraining, and new image class predication and classification. The present invention adopts a structured pruning method that removes unimportant weight parameters of the original network model and reduces unnecessary computational and memory consumptions caused by the network model in image classification to simplify the image classifier, and then uses the sparsified network model to predict and classify new images. The simplified method according to the present invention improves the original network model in image classification efficiency by nearly two times, costs about 30% less memory consumption and produces a better classification result.

Abstract: Described herein is a method and system for flexible, high performance structured data processing. The method and system contains techniques for balancing and jointly optimising processing speed, resource utilisation, flexibility, scalability, and configurability in one workflow. A prime example of its application is the analysis of spatial data, e.g. LiDAR and imagery. However, the invention is applicable to a wide range of structured data problems in a variety of dimensions and settings.

Abstract: Both improvement of a degree of freedom in selecting the model of the imaging device and improvement in accuracy of the image inspection are achieved by causing an imaging device conformable to a standardization standard to perform multi-stage processing in order. A setting device specifies a combination of values of a plurality of selectors for realizing multi-stage processing set by a user on a user interface, and transmits the values of the selectors and register information to the imaging device. The imaging device stores the values of the selectors in a location indicated by the corresponding register information, and sequentially executes the multi-stage processing specified by the combination of the values of the selectors.

Abstract: A software development system maps the organization and storage of software or code of a project in a structured database instead of in a series of discrete files and directories in a traditional file system. The code is analyzed and parsed to create parse trees for storage in the structured database. Individual software developers may be presented with the code taking the appearance of a traditional file-based representation with each developer being able to have their own customized representation or view of the code to best suit their needs, preferences and current task. To facilitate migration to such a system, tools are provided to export a snapshot of the structured database into discrete files in order that existing file-based tools may continue to be used.

Abstract: A face identification method includes performing a distance detection to obtain a detected distance value; determining whether the detected distance value is smaller than a distance threshold; when the detected distance value is smaller than the distance threshold, determining a luminance corresponding to the detected distance value and emitting an infrared light according to the luminance; capturing an infrared light image and performing face identification to the infrared light image; and when the face identification is successful, performing a corresponding event. A face identification apparatus configured to perform the face identification method is further provided.

Abstract: A method for reproducing a map display depending on a driving situation, a device for reproducing a map display depending on a driving situation, and a transportation vehicle having a corresponding device. The method includes detecting one or more driving situation-dependent parameters, wherein at least one driving situation-dependent parameter is based on the geographical position; setting one or more display properties of the map display depending on the one or more detected driving situation-dependent parameters; and reproducing the set map display using a display device. This allows a map display adequate for a situation to be provided to a transportation vehicle operator, the map display clearly and intelligibly reproducing the information relevant to the present driving situation.

Abstract: In a materials handling facility, events may be associated with users based on imaging data captured from multiple fields of view. When an event is detected at a location within the fields of view of multiple cameras, two or more of the cameras may be identified as having captured images of the location at a time of the event. Users within the materials handling facility may be identified from images captured prior to, during or after the event, and visual representations of the respective actors may be generated from the images. The event may be associated with one of the users based on distances between the users' hands and the location of the event, as determined from the visual representations, or based on imaging data captured from the users' hands, which may be processed to determine which, if any, of such hands includes an item associated with the event.

Abstract: The present disclosure provides an image processing device, image processing method, and image processing system that are capable of freely deciding a position of a cutout region when cutting out an image from an original image. The image processing device includes an object detection unit configured to detect an object in a first image, and a cutout region deciding unit configured to decide, as a cutout region, a region positioned in a relative direction based on a position at which the object is detected in the first image, the relative direction varying depending on a detection condition.

Abstract: Technologies for automatic discovery and connection to a representational state transfer (REST) interface include a provider computing device communicatively coupled to a REST interface of a Web service hosted by a 3rd party. The provider computing device is configured to analyze a data representation received from a REST interface of a Web service in response to having transmitted an HTTP request to an endpoint of the Web service and determine a pattern of the data representation as a function of the analysis of the data representation. Additionally, the provider computing device is configured to generate one or more possible schemas for the REST interface based on the determined pattern. Additional embodiments are described herein.

Abstract: Systems and methods for tracking the location of an asset may utilize wireless asset beacons broadcasting asset information/data and powered asset beacons secured relative to movable powered assets. The powered asset beacons may be configured to receive signals transmitted from the asset beacons and to ascertain a relative location between the asset beacon and the powered asset to determine an estimated location of the asset. Moreover, the asset beacons may be selectively activated based on the occurrence of a trigger event, such that the asset beacons do not wireless transmit information/data when it is desirable to limit wireless data transmissions.

Abstract: An aggregate order is efficiently obtained while keeping confidentiality. An inverse permutating part (12) generates a share of a vector representing an inversely permutated cross tabulation by applying inverse permutation to a cross tabulation of a table, the inverse permutation being a permutation which moves elements so that, when the table is grouped based on a key attribute, last elements of each group are sequentially arranged from beginning. A partial summing part (13) computes a prefix sum from the inversely permutated cross tabulation. The order computing part (14) generates a share of a vector representing ascending order within a group from a result of the prefix sum.

Abstract: Provided herein is an integrated circuit including, in some embodiments, a special-purpose host processor, a neuromorphic co-processor, and a communications interface between the host processor and the co-processor configured to transmit information therebetween. The special-purpose host processor is operable as a stand-alone host processor. The neuromorphic co-processor includes an artificial neural network. The co-processor is configured to enhance special-purpose processing of the host processor through the artificial neural network. In such embodiments, the host processor is a keyword identifier processor configured to transmit one or more detected words to the co-processor over the communications interface. The co-processor is configured to transmit recognized words, or other sounds, to the host processor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an active lighting system. In one aspect, a method includes receiving a first image of the physical document having a first glare signature and a second image of the physical document having a second glare signature that is different from the first glare signature; determining a first glare map of the first image and a second glare map of the second image; comparing the first glare map to the second glare map; and generating the digital image based on the comparison of the first and second glare maps.

Abstract: An example method may include receiving, from a sensor on a vehicle, an initial plurality of sensor data points representing a position of a face of a pallet. The vehicle may include tines configured to engage the pallet. A baseline geometric representation of the face of the pallet may be determined based on the initial plurality of sensor data points. The vehicle may be caused to reposition the tines relative to the pallet. A subsequent plurality of sensor data points representing the position of the face of the pallet after repositioning the tines may be received from the sensor. An updated geometric representation of the face of the pallet may be determined based on the subsequent sensor data points. It may be determined that the updated geometric representation deviates from the baseline geometric representation by more than a threshold value and, in response, motion of the vehicle may be adjusted.

Abstract: A depth sensing system receives an image pair showing objects in a scene. The system generates binary hashes for pixels in the image pair by performing a random walk. The system matches pixels in the first image to pixels in the second image that depict the same point in the scene by generating cost values representing differences between the binary hashes for pairs of pixels in the images. The system generates a disparity map containing disparity vectors representing coordinate differences between matched pixels in the first and second images. The system generates and outputs a depth map based on the disparity map. The depth map represents the distances between an image acquisition system that acquired the image pair and the objects in the scene.

Abstract: A communication arrangement for at least two container handling equipment CHEs is described, said at least two CHEs configured to operate within an area comprising a plurality of container spots arranged in a plurality of rows and columns, the communication arrangement for each of the at least two CHEs comprising: a first communication module configured to retrieve from a terminal operating system a plurality of jobs to be performed by the respective CHE within said area, said job comprising instructions to move a container and to identify a container spot of the plurality of container spots, the respective CHE being a first one of said at least two CHEs; a second communication module configured to communicate with at least another, second one of the at least two CHEs operating within said area, said communication with said second CHE being autonomous from receipts from the first communication module and/or manual triggering and configured to transmit a job sharing message to said second one of the at least t

Abstract: A question and answer (Q&A) system is enhanced to support natural language queries into any document format regardless of where the underlying documents are stored. The Q&A system may be implemented “as-a-service,” e.g., a network-accessible information retrieval platform. Preferably, the techniques herein enable a user to quickly and reliably locate a document, page, chart, or data point that he or she is looking for across many different datasets. This provides for a unified view of all of the user's (or, more generally, an enterprise's) information assets (such as Adobe® PDFs, Microsoft® Word documents, Microsoft Excel spreadsheets, Microsoft PowerPoint presentations, Google Docs, scanned materials, etc.), and to be able to deeply search all of these sources for the right document, page, sheet, chart, or even answer to a question.

Abstract: The pose of an object may be estimated based on fiducial points identified in a visual representation of the object. Each fiducial point may correspond with a component of the object, and may be associated with a first location in an image of the object and a second location in a 3D space. A 3D skeleton of the object may be determined by connecting the locations in the 3D space, and the object's pose may be determined based on the 3D skeleton.

Abstract: An information processing apparatus includes an acquirer and an updater. The acquirer acquires a template document image obtained as a result of reading a template document. The updater updates, based on the template document image, processing procedure information indicating a procedure of processing including an extracting step and another step to processing procedure information indicating a procedure of processing including the extracting step and a step whose content is updated. The processing is processing to be executed based on a completed document image obtained as a result of reading a completed document generated by filling characters into the template document. The extracting step is a step of extracting a region including a character image from the completed document image.

Abstract: A technique for image search and retrieval in a digital medium environment includes performing a search for images satisfying a given query, displaying a result of the search query via a graphical user interface (GUI), refining the result of the search query by selecting images or objects via the GUI, automatically performing an additional search for images satisfying an updated search query based on the selected images or objects, and displaying the result of the updated search query via the GUI. In addition to selecting images or objects, one or more attributes of an object, such as the position of the selected object within the image, the size of the selected object within the image, or both, can be modified such that the updated search incorporates the modified attributes of the object.