Abstract: Control pertaining to a notification and so on is performed without a user needing to carry out a troublesome operation prior to a notification. A notification control device includes an image analyzing unit that makes a first determination of determining whether a user is present in a predetermined location by analyzing image data of an image captured by an imaging unit, and a notification control unit that gives a predetermined notification to the user in a case in which it is determined in the first determination that the user is present in the predetermined location and refrains from giving the predetermined notification to the user in a case in which it is determined that the user is not present in the predetermined location.

Abstract: The invention is a method and system for monitoring, documenting and assisting with the manual preparation and/or administration of medications. The invention accomplishes these goals via constant surveillance of the preparation/administration process using one or more digital cameras and software and hardware that processes the images and compares data from the processed images with information relative to the patient, to the drug components and composition of the medicament, and to non-drug items needed in the preparation that the system automatically or manually retrieves from various sources, e.g. internal or external data banks, from the technician/pharmacist, or by scanning the prescription.

Abstract: Techniques for creating a three dimensional model of an object and eliminate artifacts due to object motion. Such techniques are applied to line scans and slice scans of an object.

Abstract: Examples of the disclosure provide for calibrating a virtual reality environment based on data input in response to initial calibration prompts to provide a customized detection phase for a behavior analysis session. User interaction data are received during the customized detection phase and is dynamically pushed through a trained machine learning component to generate a dynamic behavior vector for the behavior analysis session, the dynamic behavior vector updating during the customized detection phase. The virtual reality environment is dynamically modified during the customized detection phase using the dynamic behavior vector.

Abstract: It is an object to generate a desired composite image in which a motion area of a subject is correctly composited. A difference image between a base target and an aligned swap target is generated (S1021), and an extracted contour in the difference image is determined according to the active contour model (S1022). The inner area of the contour and the outer area of the contour are painted with different colors to be color-coded so as to generate a mask image for alpha blending (S1023). Using the mask image thus generated, the swap target that is aligned with respect to the base target is composited with the base target of the base image by alpha blending (S1024).

Abstract: An electronic device comprising: a memory; a communication circuit; and at least one processor operatively coupled to the memory and the communication circuit, configured to: obtain a first image; extract a feature associated with an object depicted in the first image; and control the communication circuit to transmit an indication of the feature to a server; and receive analysis information associated with the object from the server through the communication circuit.

Abstract: A method for evaluating the placement of a prosthetic heart valve in a structure of interest. The method comprises acquiring one or more depictions of an anatomical region of interest that includes the structure of interest, wherein each depiction shows the structure of interest and/or the blood pool volume of the left ventricular outflow tract (LVOT) of the patient's heart. The method further comprises designating one or more positions in at least one of the one or more depictions wherein each position corresponds to a respective position in the structure of interest at which the prosthetic valve may be placed. The method still further comprises predicting, for each of the one or more designated positions, an amount of blood flow obstruction through the LVOT of the patient's heart that would occur if the prosthetic valve was to be placed at a corresponding position in the structure of interest.

Abstract: Systems, methods, and computer program products are disclosed for performing workflows using a mobile device, without requiring tactile input from the user. The workflow is thus “touchless” and may utilize input preferably including optical data and/or audio data. Tactile input may be optionally provided in some embodiments, but the workflow is configured to be performed without any tactile input. Accordingly, in one embodiment, a computer-implemented method for performing a touchless mobile workflow includes: invoking a mobile application using a mobile device; receiving auditory input via the mobile device; and performing a business workflow via the mobile application based on the auditory input. Corresponding systems and computer program product embodiments configured for touchless mobile workflows are also described.

Abstract: A method is disclosed for the reconstruction of resultant image data of an examination object from scan data acquired during a relative rotation movement between a radiation source of an X-ray image recording system and the examination object. An embodiment of the method includes reconstruction of initial image data from the scan data; derivation of contour data from the initial image data; calculation of contour significance data from the scan data and/or the initial image data; and calculation of the resultant image data using the contour data and the contour significance data. A corresponding computer program, a corresponding data carrier, a corresponding control and computation unit and a corresponding X-ray image recording system are also disclosed.

Abstract: In accordance with various embodiments of the disclosed subject matter, a method and a system for detecting multiple objects from real-time images are provided. The method comprises: performing, using a CPU host, an image segmentation process to divide real-time input images into a plurality of image partitions; performing, by multiple GPUs, a fast block-wise registration process, a mark setting process, a background generation process, a foreground generation process based on a Hyper-Q computation infrastructure, and a support vector machine classification process; and generating, by the CPU host, visualization classification images.

Abstract: Disclosed are methods of measuring dynamic displacement of an object. The methods include capturing a plurality of images of a dynamically moving object. The object may include one or two color-patterned target(s) that include two rows and two columns of two contrasting colors (e.g., colors with a difference in hue values of approximately 180). The methods include identifying a reference point of the object (e.g., a center of a color-patterned target or a midpoint between the centers of two color-patterned targets) and measuring the dynamic movement (displacement) of the reference point over time. The images may be captured by a smartphone camera and the smartphone may identify and measure the dynamic movement of the reference point. In view of the constraints of smartphone hardware capabilities, the images may be cropped and/or not displayed to enable the smartphone to process the images and measure the dynamic displacement in real time.

Abstract: In a method for determining a distance of an object captured by a camera coupled to a controller, a controller of a computing device receives an image of the object and a label associated with the object. The controller identifies a label image of the label in the image and determines a label dimension of the label, the label dimension includes a real world size of the label. The controller determines a label image dimension of the label image, the label image dimension comprising a size of the label image, and determines a set of optical characteristics of the camera. The controller calculates a label distance using the set of optical characteristics of the camera, the label dimension, and the label image dimension. The controller announces the label distance using at least one output component coupled to the controller.

Abstract: A system for document processing including decomposing an image of a document into at least one data entry region sub-image, providing the data entry region sub-image to a data entry clerk available for processing the data entry region sub-image, receiving from the data entry clerk a data entry value associated with the data entry region sub-image, and validating the data entry value.

Abstract: A system and method of tracking a viewer's focus and attention by displaying an object on a screen and instructing the user to look at such object. A camera captures an image of an eye of the user as he looks at the object, and then captures one or more further images of the eye of the user to determine when or if the user looked away from the object. A duration of time during which the user looked at the object may be used as a measure of focus or attention of the user.

Abstract: The present disclosure provides a method and system using software and associated equipment to automatically identify two or more preselected anatomical features by examining pixels within images, such as computerized tomography (CT) scanned images, determining appropriate measurements between such identified features based on dimensions and scaling available within the image file, comparing these measurements to normative data, and providing output of the results to a user, such as medical personnel. In at least one embodiment, the system can measure an interval between a first bone and a second bone that may be useful for medical analysis.

Abstract: An electronic device for reading diagnostic test results and collecting subject data for inclusion in a local chain of evidence database and for transferring and receiving data from remote databases.

Abstract: Computer vision systems for segmenting scenes into semantic components identify a differential within the physiological readings from the user. The differential corresponds to a semantic boundary associated with the user's gaze. Based upon data gathered by a gaze tracking device, the computer vision system identifies a relative location of the user's gaze at the time of the identified differential. The computer vision system then associates the relative location of the user's gaze with a semantic boundary.

Abstract: A method for printing stock anti-counterfeiting by using a feature image and a corresponding system is disclosed. The method comprises obtaining a feature code for identifying a printing stock by recognizing a first feature of the feature image printed on the printing stock; searching for pre-recorded first anti-counterfeiting information of the printing stock; obtaining second anti-counterfeiting information of the printing stock by recognizing a second feature of the feature image printed on the printing stock; and comparing whether a similarity between the second anti-counterfeiting information and the first anti-counterfeiting information reaches a first match threshold value to determine whether the printing stock is true or false. The first anti-counterfeiting information is embodied as a distinguishable material feature of the printing stock in a feature image region or features of color, shape and position of the image printed in the feature image region.

Abstract: The present disclosure provides a method and system using software and associated equipment to automatically identify two or more preselected anatomical features by examining pixels within images, such as computerized tomography (CT) scanned images, determining appropriate measurements between such identified features based on dimensions and scaling available within the image file, comparing these measurements to normative data, and providing output of the results to a user, such as medical personnel. In at least one embodiment, the system can measure an interval between a first anatomical feature and a second anatomical feature that may be useful for medical analysis.

Abstract: An image processing apparatus includes an acquiring unit that acquires a plurality of pixel value rows aligned in a depth direction of an object to be measured based on interference light obtained by causing return light of scanned measurement light from the object to be measured and reference light corresponding to the measurement light to interfere with each other. A forming unit forms a two-dimensional image based on pixel values selected in accordance with a predetermined selection criterion from the plurality of pixel value rows, one of the pixel values being selected from one of the plurality of pixel value rows. In addition, a setting unit sets a selection range which is a range in the depth direction for selecting the pixel values in the plurality of pixel value rows, and a criterion changing unit changes the predetermined selection criterion in accordance with the set selection range.