Abstract: A method for fabricating custom seat bolsters includes receiving a first image of a user in a first pose and a second image of the user in a second pose. The method further includes generating a 3D body scan model based on at least the first image of the user and the second image of the user. The method further includes determining a design for a set of seat bolsters for the user based on the 3D body scan model. The method further includes providing the set of seat bolsters for the user based on the determined design.

Abstract: Time-series data uncertainty reduction can include generating an initial accumulated signal based on an event classifier prediction score. The event classifier prediction score can be generated by an event predicator based on time-series data and can correspond to a probability that a target event occurs. Signal leakage can be imposed on the initial accumulated signal. Additionally, an alert can be generated in response to determining that the initial accumulated signal is greater than an alert threshold.

Abstract: The application provides a network camera, a video monitoring system and a method. The network camera comprises: an image sensor, a processor, a memory and a network communication interface; the processor is configured for matching a current image acquired by the image sensor with an image stored in a second storage unit of the memory, so as to obtain a similarity value representing a matching result, and storing an image satisfying a similarity condition in another storage unit of the network camera, reducing the difficulty of image comparison and improving the accuracy of the comparison result.

Abstract: A method of using a conveyor system comprising capturing, with a first camera of the conveyor system, a first image of a server tray and a plurality of hard disks received along a first conveyor belt of the conveyor system, checking, with one or more processors of the conveyor system, a first serial number associated with the server tray and a second set of serial numbers associated with the plurality of hard disks against a reference list of serial numbers, capturing, with a second camera of the conveyor system, a second image of the server tray and the plurality of hard disks, and verifying an integrity status of the server tray and plurality of hard disks based on the second image.

Abstract: A method includes identifying a target surface in an environment of a robotic device. The method further includes controlling a moveable component of the robotic device to move along a motion path relative to the target surface, wherein the moveable component comprises a light source and a camera. The method additionally includes receiving a plurality of images from the camera when the moveable component is at a plurality of poses along the motion path and when the light source is illuminating the target surface. The method also includes determining bidirectional reflectance distribution function (BRDF) image data, wherein the BRDF image data comprises the plurality of images converted to angular space with respect to the target surface. The method further includes determining, based on the BRDF image data and by applying at least one pre-trained machine learning model, a material property of the target surface.

Abstract: In some implementations, a service qualification system may receive, from a user device, a set of images that depict a window. The service qualification system may perform an image-based analysis of the set of images to determine a reflectivity score associated with the window. The reflectivity score may be indicative of a quality associated with a signal of the service being received through the window. The service qualification system may determine, based on the reflectivity score, a service qualification metric that is indicative of a capability of receiving the service within the unit. The service qualification system may perform an action associated with the service qualification metric.

Abstract: A portable terminal includes a display control unit, an extraction unit, and a compositing unit. The display control unit displays a specifying frame for specifying a specified region which is a partial region in a display image displayed on a touch panel display, and a color designation mark for designating a reference color from colors included in an image of the specified region in the specifying frame, in superposition with the display image. The extraction unit extracts an image corresponding to the reference color designated by the color designation mark from the image of the specified region in the specifying frame, as a compositing target image. The compositing unit generates a composite image in which the compositing target image is composited in a selection image selected by a user.

Abstract: An electronic device includes a communication unit that that acquires a power supply capability of an external apparatus via a CC terminal, and a control unit that performs control such that electrical power received via a VBUS terminal is supplied to a load if it is determined through the communication that the external apparatus has a predetermined power supply capability, and performs control such that electrical power received via the VBUS terminal is not supplied to the load if it is determined that the external apparatus has the predetermined power supply capability without performing the communication.

Abstract: Systems and methods for adaptively determining a region of interest (ROI) are disclosed herein. An example device includes an imaging assembly and a controller. The imaging assembly captures image data comprising pixel data from a plurality of pixels. The controller calculates a contrast value for each pixel of the plurality of pixels, generates a histogram of contrast values, calculates an area under the curve of the histogram, and determines a contrast value threshold to delineate between high-contrast value pixels and low-contrast value pixels. The controller also identifies a ROI within the image data by locating a region within the image data that (i) satisfies a pre-determined size threshold and (ii) contains a largest number of high-contrast value pixels relative to all other regions that satisfy the pre-determined size threshold, and adjusts imaging parameters of the imaging assembly based on the ROI to capture at least one subsequent image.

Abstract: Disclosed herein are systems, methods, and computer program products for predicting movement of an object in a real-world environment. The methods comprise: obtaining a plurality of image frames captured in a sequence during a period of time; identifying first image frames of the plurality of image frames that contain an image of at least one object with one or more turn signals; analyzing the first image frames to obtain a classification for a pose of the at least one object; using the classification of the pose of the at least one object to further obtain a type classification for at least one of the turn signals and a state classification for a state of at least one of the turn signals; and predicting movement of the at least one object based at least on the type and state classifications obtained for at least one of the turn signals.

Abstract: The present invention relates to the efficient use of application agents in the cultivation of crop plants. Based on application-agent-specific information and information on a partial-area-specific requirement of a field for the application agent, a partial-area-specific and application-agent-specific application map is prepared that indicates for individual partial areas of the field whether and how the application agent is to be used.

Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, attribute values are predicted using one of a plurality of prediction strategies, wherein a selected prediction strategy is selected based at least in part on attribute variability of points in a neighborhood of points. A decoder follows a similar prediction process. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud, wherein the decoder applies the same prediction strategy applied at the encoder.

Abstract: Disclosed are various embodiments that relate to a system or a method for managing individual actions. In one example, among others, a system includes a client device that is configured to display a camera user interface for capturing an image and identify an action that stores the image captured in the memory. An image tag that describes the image is generated. The client device is configured to determine that the image has enterprise content based on the image tag and determine an enterprise policy to apply to the enterprise content. Text content from the image is extracted based on the enterprise policy. The client device is configured to display a user interface that includes the text content extracted from the image and transmit the text content of the image to an application based on the enterprise policy.

Abstract: An object detection apparatus includes a first camera unit, a second camera unit, and a control unit. The first camera unit includes one or more cameras, and is configured to capture an image around a vehicle. The second camera unit includes one or more cameras, and is configured to capture an image of an area ahead of the vehicle. The control unit is configured to: determine a displacement of a feature point positioned in a common area from the image acquired via the first camera unit; determine a pixel displacement of the feature point in the image acquired via the second camera unit; and determine distance information to an object recognized in the image captured via the second camera unit based on the displacement of the feature point and the pixel displacement of the feature point.

Abstract: An image processing apparatus comprises reduction unit configured to reduce predetermined disturbance in a frame image shot by an image sensor; estimation unit configured to estimate from at least one first frame image from which the disturbance is reduced, a second frame image of a point of time after the first frame image using a learning model; and addition unit configured to add the disturbance to the second frame image.

Abstract: An apparatus includes a control unit configured to display a first item with a first image, which is an image that is captured by a capturing unit and is not de-squeezed, wherein the first item being an item indicating a region of the first image corresponding to a region having a predetermined aspect ratio of a second image that is an image obtained by de-squeezing the first image, wherein the region indicated by the first item does not have the predetermined aspect ratio.

Abstract: A method of preprocessing incoming video data of at least one region of interest from a camera collecting video data having a first field of view is disclosed herein that includes receiving the incoming video data from the camera; preprocessing the incoming video data, by a computer processor, according to preprocessing parameters defined within a runtime configuration file, with the preprocessing including formatting the incoming video data to create first video data of a first region of interest with a second field of view that is less than the first field of view; and publishing the first video data of the first region of interest to an endpoint to allow access by a first subscriber.

Abstract: When filming a scene, the focal distance of the video camera is often controlled remotely, and can be switched between manual and autofocus modes. To overcome sudden movements in the lens upon reverting to manual mode, and to avoid disrupting a user's grip on the manual control during autofocus, the traditional distance ring indicator is split into separate controller and indicator components. The controller permits manual input, while the indicator tracks the desired distance. In manual mode, the controller and indicator move in unison. In autofocus mode, the indicator tracks a rangefinder input but the controller is not moved. In a hybrid mode, the controller offsets the rangefinder input. In all cases, the position of the lens moves with the indicator.

Abstract: A unified imaging device used for detecting and classifying objects in a scene including motion and micro-vibrations by receiving a plurality of images of the scene captured by an imaging sensor of the unified imaging device comprising a light source adapted to project on the scene a predefined structured light pattern constructed of a plurality of diffused light elements, classifying object(s) present in the scene by visually analyzing the image(s), extracting depth data of the object(s) by analyzing position of diffused light element(s) reflected from the object(s), identifying micro-vibration(s) of the object(s) by analyzing a change in a speckle pattern of the reflected diffused light element(s) in at least some consecutive images and outputting the classification, the depth data and data of the one or more micro-vibrations which are derived from the analyses of images captured by the imaging sensor and are hence inherently registered in a common coordinate system.

Abstract: Disclosed is an electronic device which includes a processor, and a memory that stores instructions and at least one images. The instructions, when executed by the processor, cause the electronic device to: classify the at least one images into at least one image group, based on meta information of the at least one image; identify tag information about at least one object of first images in a first image group of the at least one image group; identify place information about the first images, based on the tag information; and correct meta information of the first images, based on the identified place information.