Abstract: Disclosed herein are systems, media, and methods for identifying and assessing topographical features such as vegetation density and surface water using satellite data, comprising: a digital processing device; a database of digital maps, each indicative of grazing area(s); and a computer program to create an application comprising: a software module receiving a first set of satellite data indicative of a first topographical feature of the land; a software module calculating a normalized index array of the first topographic feature for the time period using the first set of satellite data; a software module generating a custom map indicative of density of the first topographical feature; a software module combining the custom map with one of the digital maps to generate a combined map indicative of the density of the first topographical feature within the grazing areas; and a software module allowing a user to visualize or print the combined map.

Abstract: In some embodiments, space objects may be detected within shortwave infrared (SWIR) images captured during the daytime. Some embodiments include obtaining a stacked image by stacking shortwave infrared (SWIR) images. A spatial background-difference image may be generated based on the stacked image, and a matched-filter image may be obtained based on the spatial background-difference image. A binary mask may be generated based on the matched-filter image. The binary mask may include a plurality of bits each of which including a first value or a second value based on whether a signal-to-noise ratio (SNR) associated with that bit satisfies a threshold condition. Output data may be generated based on the spatial background-difference image and the binary mask, where the output data provides observations on detected space objects in orbit.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.

Abstract: A method of identifying a bale of material includes capturing an initial image of a region of an initial bale with an initial image sensor and identifying a unique band pattern of at least one multi-colored band of the initial bale. The identified unique band pattern is associated with the initial bale. Data related to the initial bale is associated with the identified unique band pattern. The identified unique band pattern of the initial bale may then be used as an identifier of the initial bale. A second image of the bale is captured and analyzed to determine if the second image includes the unique band pattern of the at least one multi-colored band, thereby identifying the bale in the second image as the initial bale. The data associated with the initial bale may then be retrieved by an operator.

Abstract: Methods, devices, and computer-readable media for generating color-neutral representations of driving objects are disclosed. In one embodiment, a method is disclosed comprising capturing an image, the image including an object of interest; identifying the object of interest in the image based on identifying one or more colors in the image; associating the object of interest with a known traffic object; identifying a color-neutral representation of the known traffic object; and displaying the color-neutral representation to a user.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for augmented reality measuring of equipment. An example apparatus disclosed herein includes an image comparator to compare camera data with reference information of a reference vehicle part to identify a vehicle part included in the camera data, and an inspection image analyzer to, in response to the image comparator identifying the vehicle part, measure the vehicle part by causing an interface generator to generate an overlay representation of the reference vehicle part on the camera data displayed on a user interface, and determining, based on one or more user inputs to adjust the overlay representation, a measurement corresponding to the vehicle part.

Abstract: An embodiment for creating a template for user experience by segmenting a visual surrounding is provided. The embodiment may include receiving real-time and historical data relating to one or more content interactions of a user wearing an augmented reality (AR) device. The embodiment may also include analyzing one or more contextual situations of the one or more content interactions. The embodiment may further include identifying one or more objects of interest in a visual surrounding environment of the user. The embodiment may also include in response to determining the identification of the object type is confident, predicting a contextual need for each object of interest. The embodiment may further include creating one or more information display templates. The embodiment may also include populating the one or more information display templates with information and displaying the one or more populated information display templates to the user.

Abstract: A video processing method and a terminal device are provided. The video processing method includes acquiring video data, acquiring a plurality of video segments from the video data according to flight parameter information of an unmanned aerial vehicle or motion parameter information of a capturing device, and obtaining a target video by processing the plurality of video segments according to a preset parameter.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for finding lost objects. In some implementations, a video frame is displayed. An input drawing a shape around an area of the video frame is received. A second video frame is displayed. An indication of the shape in the second video frame is displayed. An input to adjust the shape such that the shape is drawn around a second area is received.

Abstract: Implementations described herein relate to methods, devices, and computer-readable media to perform gating for video analysis. In some implementations, a computer-implemented method includes obtaining a video comprising a plurality of frames and corresponding audio. The method further includes performing sampling to select a subset of the plurality of frames based on a target frame rate and extracting a respective audio spectrogram for each frame in the subset of the plurality of frames. The method further includes reducing resolution of the subset of the plurality of frames. The method further includes applying a machine-learning based gating model to the subset of the plurality of frames and corresponding audio spectrograms and obtaining, as output of the gating model, an indication of whether to analyze the video to add one or more video annotations.

Abstract: A computing system obtains a video feed. For a frame of the video feed, the computing system analyzes the frame to determine whether the frame includes a potential instance of an event. In accordance with a determination that the frame includes the potential instance of an event, the computing system determines for the event an event category from a plurality of predefined event categories. It stores an indication of the event category. It determines whether the event category matches a predefined notification filter definition. In accordance with a determination that the event category matches the predefined notification filter definition, the computing system issues an alert notification to a user client device. In accordance with a determination that the event category does not match the predefined notification filter definition, the computing system refrains from issuing the alert notification.

Abstract: The frame or image of a video stream of a videoconference is divided into a series of segments for analysis. There is a primary grid, which covers the entire frame, and an alternate grid, which is shifted from the primary grid. Each segment is small enough to allow a neural network to efficiently operate on the segment without requiring downsampling. By operating on full resolution images, a participant can be identified at a greater distance from the camera. The entire frame is analyzed at a lower frequency, such as once per five seconds, but each segment containing a participant in the conference is scanned at a higher frequency, such as once per second, to maintain responsiveness to participant movement but also allow the full resolution operation.

Abstract: A visible light sensor may be configured to sense environmental characteristics of a space using an image of the space. The visible light sensor may be controlled in one or more modes, including a daylight glare sensor mode, a daylighting sensor mode, a color sensor mode, and/or an occupancy/vacancy sensor mode. In the daylight glare sensor mode, the visible light sensor may be configured to decrease or eliminate glare within a space. In the daylighting sensor mode and the color sensor mode, the visible light sensor may be configured to provide a preferred amount of light and color temperature, respectively, within the space. In the occupancy/vacancy sensor mode, the visible light sensor may be configured to detect an occupancy/vacancy condition within the space and adjust one or more control devices according to the occupation or vacancy of the space. The visible light sensor may be configured to protect the privacy of users within the space via software, a removable module, and/or a special sensor.

Abstract: A machine accesses a set of image target models, each image target model being associated with model parameters, the model parameters comprising at least an operational domain, an expected input image quality, and an expected orientation. The machine receives an image for processing by one or more image target models from the set, the image including metadata specifying image parameters of the received image. The machine identifies, based on the image parameters in the metadata of the received image and the model parameters of one or more models in the set, a first subset of the set of image target models including image target models that are capable of processing the received image. The machine provides the received image to at least one image target model in the first subset.

Abstract: A control apparatus includes a detection unit configured to detect an object area in an image captured by an image capturing apparatus, a dividing unit configured to divide the image into a plurality of divided areas, a first calculation unit configured to calculate a luminance difference as a difference between a luminance value of the object area and a luminance value of each of the divided areas, a second calculation unit configured to calculate a first amount of change as a difference between luminance values of the object area before and after the image capturing apparatus executes exposure control and a second amount of change as a difference between luminance values of the divided area before and after the image capturing apparatus executes exposure control, and a determination unit configured to determine a photometric area.

Abstract: A method for detecting people entering and leaving a field is provided in an embodiment of the disclosure. The method includes the following. An event detection area corresponding to an entrance is set, and the event detection area includes an upper boundary, a lower boundary, and an internal area, and the lower boundary includes a left boundary, a right boundary, and a bottom boundary; a person image corresponding to a person in an image stream is detected and tracked; and whether the person passes through or does not pass through the entrance is determined according to a first detection result and a second detection result.

Abstract: An analytical recognition system includes one or more video cameras configured to capture video and a video analytics module configured to perform real-time video processing and analyzation of the captured video and generate non-video data. The video analytic module includes one or more algorithms configured to identify an abnormal situation. Each abnormal situation alerts the video analytics module to automatically issue an alert and track one or more objects or individuals by utilizing the one or more video cameras. The abnormal situation is selected from the group consisting of action of a particular individual, non-action of a particular individual, a temporal event, and an externally generated event.

Abstract: Systems can be configured for detecting license plates and recognizing characters in license plates. In an example, a system can receive an image and identify one or more regions in the image that include a license plate. Character recognition can be performed in the one or more regions to determine contents of a candidate license plate. Location-specific information about a license plate format can be used together with the determined contents of the candidate license plate to determine if the recognized characters are valid.

Abstract: A method for operating a sensor unit of a vehicle. The method includes providing a time signal for the sensor unit of a first vehicle, it also being possible to provide the time signal for at least one sensor unit of a second vehicle, and controlling sensor devices of the sensor unit using the time signal for detecting an environment of the vehicle in a temporally defined manner; and providing the detected environment data.

Abstract: Techniques are described for estimating intentions of pedestrians and other road users in vicinity of a vehicle. In certain embodiments, the techniques comprise obtaining, by a computer system of a vehicle equipped with one or more sensors, a sequence of video frames corresponding to a scene external to the vehicle, detecting one or more vulnerable road users (VRUs) in the sequence of video frames, wherein the detecting comprises estimating pose of each of the detected one or more VRUs. The techniques further include generating a segmentation map of the scene using one or more of the video frames; estimating one or more intention probabilities using estimated pose of the one or more VRUs and the segmentation map, each intention probability corresponding to one of the detected one or more VRUs, and adjusting one or more automated driving actions based on the estimated one or more intention probabilities.

Abstract: Visual analytics tool for updating object detection models in autonomous driving applications. In one embodiment, an object detection model analysis system including a computer and an interface device. The interface device includes a display device. The computer includes an electronic processor that is configured to extract object information from image data with a first object detection model, extract characteristics of objects from metadata associated with image data, generate a summary of the object information and the characteristics, generate coordinated visualizations based on the summary and the characteristics, generate a recommendation graphical user interface element based on the coordinated visualizations and a first one or more user inputs, and update the first object detection model based at least in part on a classification of one or more individual objects as an actual weakness in the first object detection model to generate a second object detection model for autonomous driving.

Abstract: A system for a lane keeping feature of a vehicle is provided. The lane keeping feature has a predefined safety requirement criterion for keeping the vehicle within bounds while the lane keeping feature is active. The system comprises a road estimation module and a trajectory planning module. The road estimation module is configured to receive sensor data comprising information about a surrounding environment of the vehicle, and to determine a drivable area based on the sensor data. The drivable area comprises a left boundary and a right boundary extending along a direction of travel of the vehicle, wherein each boundary comprises a plurality of points distributed along each boundary, each point being associated with a confidence level. The trajectory planning module is configured to receive the determined drivable area, and to determine a nominal trajectory for the vehicle based on the received drivable area.

Abstract: The present application discloses a method, an apparatus, a system, and a storage medium for calibrating an exterior parameter of an on-board camera, relating to the field of autonomous driving technologies. A specific implementation scheme of the method in the application is: preprocessing two frames of images of a former frame and a latter frame collected by the on-board camera; performing feature point matching on the two preprocessed frames of images to obtain matched feature points; determining a moving posture of the on-board camera according to the matched feature points; determining a conversion relationship between a vehicle coordinate system and an on-board camera coordinate system according to the moving posture, and obtaining the external parameter of the on-board camera relative to a vehicle body.

Abstract: A system includes a plurality of sensors arranged in a vehicle to monitor an item in a storage area of a vehicle. The system comprises a data processing module configured to process data from the sensors, determine whether the item in the storage area of the vehicle is likely to move within the storage area or is likely to fall from the vehicle during travel, and generate a first indication that the item is likely to move within the storage area or is likely to fall from the vehicle during travel. The data processing module is configured to determine whether the item has moved within the storage area or has fallen from the vehicle during travel and generate a second indication that the item has moved within the storage area or has fallen from the vehicle during travel.

Abstract: The technology provides an interior camera sensing system for self-driving vehicles. The sensor system includes image sensors and infrared illuminators to see the vehicle's cabin and storage areas in all ambient lighting conditions. The system can monitor the vehicle for safety purposes, to detect the cleanliness of the cabin and storage areas, as well as to detect whether packages or other objects have been inadvertently left in the vehicle. The cameras are arranged to focus on selected regions in the vehicle cabin and the system carries out certain actions in response to information evaluated for those regions. The interior space is divided into multiple zones assigned different coverage priorities. Regardless of vehicle size or configuration, certain actions are performed according to various ride checklists and the imagery detected by the interior cameras. The checklists include pre-ride, mid-ride, and post-ride checklists.

Abstract: A method for influencing a system for monitoring alertness of an operator when operating a device includes providing one or more representations of features of the operator in a detection region of the system, where each of the one or more representations reproduces at least one feature of the operator and where the influencing is based on the detection of the one or more representations by the system.

Abstract: A gaze target detector includes a line-of-sight detector, a relative speed data acquiring unit, a relative position data acquiring unit, a curvature calculator, a threshold adjuster, and a gaze determination unit. The line-of-sight detector detects the line of sight of an occupant in a vehicle. The relative speed data acquiring unit acquires a relative speed between the vehicle and a gaze target at which the occupant is gazing. The relative position data acquiring unit acquires a relative position between the vehicle and the gaze target. The curvature calculator calculates the curvature of a traveling track of the vehicle. The threshold adjuster adjusts a threshold based on at least one of the relative speed, the relative position, or the curvature. The threshold is used to determine the gaze target. The gaze determination unit determines the gaze target as a gaze event based on the threshold adjusted.

Abstract: A medical device monitoring system and method extract information from screen images from medical device controllers, with a single OCR process invocation per screen image, despite critical information appearing in different screen locations, depending on which medical device controller's screen image is processed. For example, different software versions of the medical device controllers might display the same type of information in different screen locations. Copies of the critical screen information, one copy from each different screen location, are made in a mosaic image, and then the mosaic image is OCR processed to produce text results. Text is selectively extracted from the OCR text results, depending on contents of a selector field on the screen image, such as a software version number or a heart pump model identifier.

Abstract: The present disclosure provides a three-dimensional (3D) object detection method, a 3D object detection apparatus, an electronic device, and a readable storage medium, belonging to a field of computer vision technologies. Two-dimensional (2D) image parameters and initial 3D image parameters are determined for a target object. Candidate 3D image parameters are determined for the target object based on a disturbance range of 3D parameters and the initial 3D image parameters determined for the target object. Target 3D image parameters are selected for the target object from the candidate 3D image parameters determined for the target object based on the 2D image parameters. A 3D detection result of the target object is determined based on the target 3D image parameters.

Abstract: A method for checking the authenticity of products, by checking an image (A) of a product. The proof of authenticity is not visible to the human eye and cannot be copied. This is characterized in that a code stored in a halftone image by manipulation of dots and/or a manipulated field bounded in the halftone image can be read by means of an optical device and compared with a retrievable value in at least one database. In at least one field (F1 to F5) a part of a serial number is determined which describes the structure of the serial number and a hash function used for transmitting the serial number to the database, and this is also characterized in that the serial number is subsequently assembled and encrypted with the corresponding hash function.

Abstract: A content capturing system is suitable for capturing content in an image of a document. The content capturing system includes a processor and a storage device. The processor accesses the program stored in the storage device to implement a cutting module and a processing module. The cutting module receives a corrected image. The content in the corrected image includes a plurality of text areas, and the cutting module inputs the corrected image or a first text area into a convolutional neural network. The convolutional neural network outputs the coordinates of the first text area. The cutting module cuts the first text area according to the coordinates of the first text area. The cutting module inputs the cut first text area into a text recognition system and obtains a plurality of first characters in the first text area from the text recognition system.

Abstract: A method of detecting at least one element of interest visible on an input image, by means of a convolutional neural network, CNN, the method comprises the steps of: (a) extracting, by means of an ascending branch of a first subnetwork of said CNN of feature pyramid network, FPN, type, a plurality of initial feature maps (C1, C2, C3, C4, C5) representative of the input image at different scales, said FPN further comprising a descending branch and lateral connections between the ascending branch and the descending branch, at least one lateral connection comprising an attention module; (b) generating, by means of said descending branch of the FPN, a plurality of enriched feature maps (P2, P3, P4, P5) also representative of the input image at different scales, each enriched feature map (P2, P3, P4, P5) incorporating the information from the initial feature maps (C1, C2, C3, C4, C5) of smaller or equal scale; (d) detecting at least one element of interest visible on an input image, by means of a second subnetw

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: A method and a system for converting a font of a Chinese character in an image, a computer device and a medium are disclosed. A specific implementation of the method includes: acquiring a stroke of a to-be-converted Chinese character in the image and spatial distribution information of the stroke; and generating a Chinese character in a target font that corresponds to the to-be-converted Chinese character in the image according to the stroke of the to-be-converted Chinese character, the spatial distribution information of the stroke and standard stroke information of the target font, to replace the to-be-converted Chinese character.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for image rendering. In one aspect, a method comprises receiving a plurality of observations characterizing a particular scene, each observation comprising an image of the particular scene and data identifying a location of a camera that captured the image. In another aspect, the method comprises receiving a plurality of observations characterizing a particular video, each observation comprising a video frame from the particular video and data identifying a time stamp of the video frame in the particular video. In yet another aspect, the method comprises receiving a plurality of observations characterizing a particular image, each observation comprising a crop of the particular image and data characterizing the crop of the particular image. The method processes each of the plurality of observations using an observation neural network to determine a numeric representation as output.

Abstract: An image identification device includes an image acquisition unit configured to acquire an image, a feature value extraction unit configured to extract a plurality of feature values of the acquired image, a feature map creation unit configured to create a feature map for each of the plurality of feature values, and a multiplication unit configured to multiply each of the feature maps by a weighting factor that is an arbitrary positive value indicating a degree of importance of a feature.

Abstract: Ink-processing technology is set forth herein for detecting a gesture that a user performs in the course of interacting with an ink document. The technology operates by identifying a grouping of ink strokes created by the user. The technology then determines whether the grouping expresses a gesture based on a combination of spatial information and image information, both of which describe the grouping. That is, the spatial information describes a sequence of positions traversed by the user in drawing the grouping of ink strokes using an ink capture device, while the image information refers to image content in an image produced by rendering the grouping into image form. The technology also provides a technique for identifying the grouping by successively expanding a region of analysis, to ultimately provide a spatial cluster of ink strokes for analysis.

Abstract: Provided are a computer program product, system, and method for pre-processing a table in a document for natural language processing. A table in a document is parsed to extract column headers, row headers, and data cells, which are processed to determine an initial set of a main element comprising an entity whose value is to be extracted, a conditional element that refines the entity, and a value element comprising a value for the entity. A user selection is received of at least one of the column headers, row headers, and data cells for at least one of the main element, conditional element, and the value element in the initial set to produce a modified set of the main element, conditional element, and value element. The modified set is provided to a natural language processing engine to perform natural language processing of the document including the table, using the modified set.

Abstract: A document classification system uses an image file as a file of an image serving as a model for classifying a document to classify, by machine learning, an image read from a form as a document by a scanner of an image forming apparatus, and reports a classification failure image as an image of the document when the document is unsuccessfully classified.

Abstract: A system receives a digital representation of a biometric for a person, uses the digital representation of the biometric to determine and/or otherwise retrieve identity information associated with the person, and uses the identity information to perform one or more actions related to the person's presence in one or more areas. For example, the system may estimate a path for the person and signal an agent electronic device based on the path. In another example, the system may determine a presence of a person within the area and/or transmit information to an agent electronic device regarding the determined presence. In still another example, the system may receive a request to communicate with the person and forward the communication to the person using the identity information.

Abstract: A method and a device for the characterization of living specimens from a distance are disclosed. The method comprises: acquiring an image of a living specimen and segmenting the image, providing a segmented image; measuring a distance to several parts of said image, providing several distance measurements, and selecting a subset of those contained in the segmented image. The method also processes the segmented image and the distance measurements referred to different positions contained within the segmented image by characterizing the shape and the depth of the living specimen and by comparing a shape analysis map and a depth profile analysis map. If a result of the comparison is comprised inside a given range, parameters of the living specimen are further determined including posture parameters, location or correction of anatomical reference points and/or body size parameters, and/or a body map of the living specimen is represented.

Abstract: The present disclosure discloses a display and input apparatus, including a display panel and an image sensor module. The display panel includes a display substrate, a display array, and a cover plate; a display pixel includes at least two types of sub-pixels that emit lights of different colors; a slit is disposed between pixel electrodes of two adjacent sub-pixels; in the display array, a pixel definition layer is disposed along the slit, and a plano-concave lens array is disposed along the pixel definition layer; each of the plano-concave lenses has its optical axis perpendicular to the display panel and passing through the center of the slit; and during image sensing, the display pixel emits light and illuminates an imaging object on the cover plate, and the image sensor module acquires a reflected image from a surface of the imaging object.

Abstract: A fingerprint detection control circuit, a fingerprint detection control method and a display device. The fingerprint detection control circuit includes a sensing circuitry, a resetting circuitry, a control circuitry and a conversion circuitry. The control circuitry provides a switch control signal to a control end of the resetting circuitry under the control of a first control signal. The resetting circuitry provides a resetting voltage to a conversion control end under the control of a potential at its control end. The conversion circuitry converts a photovoltage signal into a corresponding current signal under the control of a potential at the conversion control end when a first voltage end is electrically connected to a first signal output end, and outputs the current signal via the first signal output end.

Abstract: An electronic device may include a display layer including light transmissive portions and non-transmissive portions. The electronic device may also include a palm biometric image sensor layer beneath the display layer and configured to sense an image of a user's palm positioned above the display layer based upon light reflected from the user's palm passing through the light transmissive portions of the display layer. The electronic device may further include a controller configured to capture image data from the user's palm in cooperation with the palm biometric image sensor layer and determine a surface distortion of the user's palm based upon the image data. The controller may also be configured to perform a biometric authentication of the user's palm based upon the image data and the surface distortion.

Abstract: A photoelectric fingerprint identification apparatus, a terminal, and a fingerprint identification method are provided. The apparatus includes: a light-emitting unit, where the light-emitting unit generates at least a first light signal and a second light signal; a photoelectric fingerprint sensor, where the photosensitive fingerprint sensor includes a first sensing region and a second sensing region that do not overlap each other, and the first sensing region is covered with an infrared filter; an image detection unit, configured to detect reflected light energy of the first sensing region to obtain fingerprint information; and a living body detection unit, configured to detect reflected light energy of the second sensing region to obtain living body detection information.

Abstract: A tracking control method includes obtaining a tracking parameter of a target object. The tracking control method also includes determining a characteristic part of the target object based on the tracking parameter. The tracking control method further includes tracking the target object based on the characteristic part.

Abstract: Provided in embodiments of the present application are a method and device for age estimation. The method comprises: performing gender training with respect to a gender model on the basis of facial image samples so as to allow the gender model to converge, where the gender model comprises at least two convolution layers; performing age training with respect to an age model on the basis of the facial samples so as to allow the age model to converge, where the age model comprises the at least two convolution layers, the converged age model comprises the weights of the at least two convolution layers, and the weights of the at least two convolution layers that the converged gender model comprises; and performing age estimation with respect to an inputted facial image on the basis of the converged age model.

Abstract: Vehicle cognitive data is collected using multiple devices. A user interacts with various pieces of technology to perform numerous tasks and activities. Reactions can be observed and cognitive states inferred from reactions to the tasks and activities. A first computing device within a vehicle obtains cognitive state data which is collected on an occupant of the vehicle from multiple sources, wherein the multiple sources include at least two sources of facial image data. At least one face in the facial image data is partially occluded. A second computing device generates analysis of the cognitive state data which is collected from the multiple sources. A third computing device renders an output which is based on the analysis of the cognitive state data. The partial occluding includes a time basis of occluding. The partial occluding includes an image basis of occluding. The cognitive state data from multiple sources is tagged.

Abstract: Introduced here are technologies for examining an image of an airline passenger, while the passenger is onboard. The image may be examined for abnormalities, the passenger's mood, and/or the passenger's expression. The image analysis may be supplemented by data from a suite of sensors such as heart rate monitors, accelerometers, gyroscopes, and the like. The image and the sensor data are then analyzed to detect abnormalities, identify related recommendations, and suggest products and services offered onboard or at the destination that are related to the abnormalities and recommendations. The general purpose is to improve an airline passenger's travel experience while on board the flight.

Abstract: Embodiments are disclosed for using an apparatus to perform pupil identification. An example method includes toggling circuitry configured to determine, based on a measured ambient infrared light level, whether to perform pupil identification using one of either the dark pupil identification process or the bright pupil identification process; and pupil identification circuitry configured to perform pupil identification on a user using the bright identification process upon the determination that the measured ambient infrared light level falls within a first range and to perform dark pupil identification process upon the determination that the measured ambient infrared light level falls within a second range. Corresponding apparatuses and non-transitory computer readable storage media are also provided.