Abstract: A method and system for mapping fluid objects on a substrate using a microscope inspection system that includes a light source, imaging device, stage for moving a substrate disposed on the stage, and a control module. A computer analysis system includes an object identification module that identifies for each of the objects on the substrate, an object position on the substrate including a set of X, Y, and ? coordinates using algorithms, networks, machines and systems including artificial intelligence and image processing algorithms. At least one of the objects is fluid and has shifted from a prior position or deformed from a prior size.

Abstract: The disclosure relates to a coupling device. This is known below as a docking receptacle. The docking receptacle comprises an approximately U-shaped pilot centring device with an insertion trough tapering approximately conically in an insertion direction for pre-centring a docking insert designed to mate with the docking receptacle, at least a first and a second centring device, with the first and the second centring devices each comprising two coupling elements which are designed for centring a docking insert with respect to the docking receptacle along four centring axes in an insertion direction, and wherein a drawing-in device with two hydraulically actuated drawing-in or capture hooks are provided. The disclosure further relates to a docking insert.

Abstract: A device includes a camera sensor and an illumination source structure. The illumination source structure is positioned to emit light towards a field of view of the camera sensor. The illumination source structure includes a bore, internal threads extending along at least a portion of a length of the bore, and a light emitting diode (LED) positioned within the bore such that the internal threads encircle a lens of the LED.

Abstract: An image decoding method performed by a decoding apparatus includes the operations of: deriving a correspondence block corresponding to the current block of the current picture, the correspondence block being located in a co-located picture; deriving a movement vector of the correspondence block; scaling the movement vector of the correspondence block based on a first temporal distance and second temporal distance, the first temporal distance being the difference between the POC values of the co-located picture and POC values of the reference picture of the correspondence block, and the second temporal distance being the difference between the POC values of the co-located picture and POC values of the current picture containing the current block; deriving the movement vector updated based on the scaled movement vector and location of the current block; and deriving a movement vector of the current block based on the updated movement vector.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes processing circuitry that decodes prediction information for a current block in a current coded picture that is part of a coded video sequence. The prediction information indicates a fractional motion vector for the current block. The processing circuitry determines whether one of a block width and a block height of the current block is below a first threshold. The processing circuitry selects one of an integer motion vector, a first interpolation filter, and a second interpolation filter for the current block when the one of the block width and the block height of the current block is determined to be below the first threshold. The processing circuitry reconstructs the current block based on the selected one of the integer motion vector, the first interpolation filter, and the second interpolation filter.

Abstract: An apparatus for selectively displaying a reverse image of a user includes a screen configured to display images, an imaging device hidden behind the screen, a processor, and a memory. The memory includes instructions stored thereon which, when executed by the processor, cause the apparatus to capture the first image of a user, determine an eye-level height of the user based on the captured first image, move the imaging device to the determined eye-level height of the user, capture a second image of the user at the eye-level height of the user, render a mirrored image of the second image based on the vertical axis of the imaging device, and display the rendered mirrored image on the screen.

Abstract: A method and apparatus for parallel context processing for example for high coding efficient entropy coding in HEVC. The method comprising retrieving syntax element relating to a block of an image, grouping at least two bins belonging to similar context based on the syntax element, and coding the grouped bins in parallel.

Abstract: An apparatus includes a support, a first camera, and second camera, and a processor. The support is configured to be mounted to a head of a user. The first camera is mounted on the support and positioned to capture a first image of a face of the user. The second camera is mounted on the support and positioned to capture a second image of the face of the user that is non-overlapping with the first image. The processor is mounted to the support and programmed to stitch the first image and the second image together to construct an image of the face of the user.

Abstract: An apparatus includes a capture device and a processor. The capture device may be configured to generate pixel data corresponding to an exterior view from a vehicle. The processor may be configured to generate video frames from the pixel data, perform computer vision operations on the video frames to detect objects in the video frames and determine characteristics of the objects, analyze the characteristics with respect to the vehicle to determine visual indicators to predict an air quality and generate a control signal in response to an air quality value. The control signal may be configured to toggle an activation of an air recirculation feature of the vehicle when the air quality value reaches a threshold value. The visual indicators may be used to adjust the air quality value.

Abstract: A machine-vision system for monitoring a quality metric for a product. The system includes a controller configured to receive a digital image from an image acquisition device. The controller is also configured to analyze the digital image using a first machine-vision algorithm to compute a measurement of the product. The system also includes a vision server connected to the controller, and configured to compute a quality metric and store the digital image and the measurement in a database storage. The system also includes a remote terminal connected to the vision server, and configured to display the digital image and the quality metric on the remote terminal.

Abstract: In order to detect an unmanned aerial vehicle (UAV) in a monitoring area using a rotatable camera, an integrated sensor configures a first detection area in the monitoring area by rotating the camera after fixing the focal length of the camera to an initial value, and configures a second detection area in the monitoring area by rotating the camera after changing at least one of the focal length of the camera and a rotation path representing a distance from the origin of the monitoring area.

Abstract: Disclosed are systems and methods for detecting traffic violations using one or more mobile detection devices. Videos captured by one or more mobile detection devices can be processed on the mobile detection devices to extract data and information concerning a potential traffic violation involving a vehicle and a restricted road area. The mobile detection devices can transmit such data and information to a server configured to make a determination as to whether a traffic violation has occurred by comparing the data and information received from the mobile detection devices.

Abstract: A method for traffic surveillance may include acquiring, from a plurality of first video sensors, a first set of images of an area, and generating a map-based surveillance interface of the area based on the first set of image data. The method may also include presenting, on a display, the map-based surveillance interface; wherein each of the plurality of first video sensors is implemented on an illuminating devices in the area, and the first set of image data denotes a plurality of views of the area captured by the plurality of first video sensors, respectively.

Abstract: Methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.

Abstract: An image processing apparatus 10 includes an interface 12 configured to acquire an image and a processor 13 configured to perform low-rank approximation by singular value decomposition on the acquired image, and perform object recognition on the acquired image subjected to the low-rank approximation by the singular value decomposition.

Abstract: An image processing device for performing a data decompression is provided. The image processing device includes a decoder circuit having a plurality of stages for decompressing compressed image data of a plurality of pixels. The decoder circuit is configured to divide the pixels into a plurality of groups. The first stage performs prediction compensation on the compressed image data of a first pixel of the first group at a first time to generate first prediction data, and performs the prediction compensation on the compressed image data of a second pixel of the first group at a second time using the first prediction data. The second stage performs the prediction compensation on the compressed image data of a first pixel of the second group at the second time using the first prediction data, to generate second prediction data.

Abstract: A method of allowing access to a receptacle for securing a package includes: sensing an opening and closing of the lid; activating, in response to determining the lid is sufficiently closed, the lock mechanism to transition from the unlocked state to the locked state; scanning an email message in a user's email account to identify a reference or tracking number of a second package; parsing the email message to obtain a delivery code; receiving entry of the delivery code; activating the lock mechanism based on entry of the delivery code to transition from the locked state to the unlocked state; sensing a second opening and closing of the lid; activating the lock mechanism to transition from the unlocked state to the locked state; receiving information corresponding to entry of an access code; activating the lock mechanism to transition from the locked state to the unlocked state.

Abstract: A method comprising: encoding an input picture into a coded constituent picture; reconstructing, as a part of said encoding, a decoded constituent picture corresponding to the coded constituent picture; encoding a spatial region into a coded tile, the encoding comprising: determining a horizontal offset and a vertical offset indicative of a region-wise anchor position of the spatial region within the decoded constituent picture; encoding the horizontal offset and the vertical offset; determining that a prediction unit at position of a first horizontal coordinate and a first vertical coordinate of the coded tile is predicted relative to the region-wise anchor position, wherein the first horizontal coordinate and the first vertical coordinate are horizontal and vertical coordinates, respectively, within the spatial region; indicating that the prediction unit is predicted relative to a prediction-unit anchor position that is relative to the horizontal and vertical offset; deriving a prediction-unit anchor positi

Abstract: An optical measuring device includes at least one optical sensor configured for optical capture of at least one measurement object at multiple image recording positions. The optical measuring device includes at least one display device configured to display, for multiple predetermined and/or determinable image recording positions, in each case a schematic representation of an image to be recorded at the respective image recording position. The optical measuring device includes at least one data processing unit and at least one interface. The interface is configured to provide at least one item of manipulation information to the data processing unit. The data processing unit is configured to, based on the manipulation information, adapt at least one of the image recording position and an image recording parameter of at least one of the images to be recorded.

Abstract: Methods, systems, and computer-readable storage media for determining that a subject is a live person include obtaining a first image captured using a first camera disposed on a first side of a mobile device and obtaining a second image captured using a second camera disposed on a second side of the mobile device that is on the opposite side of the first side. The first image includes a representation of reflections visible on the corneas of a subject. The first image and the second image are pre-processing to generate a third image and a fourth image, respectively, where a first field of view represented in the third image at least partially overlaps with a second field of view of the fourth image. A determination is made, based on the third and fourth images, that a scene represented in the first field of view is substantially same as a scene represented in the second field of view.