According to an embodiment, an information processing apparatus includes an extraction unit and a generation unit. The extraction unit is configured to use a learning model that extracts a combining region from a subject image to extract the combining region from a first subject image of a first subject. The generation unit is configured to generate a combined image obtained by combining the extracted combining region with a target region of a corrected image in which transparency of the target region in a second subject image of a second subject has been corrected to a threshold or more.

A vehicle image processing device includes a camera that images surroundings of a vehicle and outputs video data. An image extraction unit extracts an image from the video data when a predetermined operation for instructing image acquisition is performed, and an image processing unit processes the extracted image in accordance with a field of view of the user in a vehicle interior. A display processing unit and a display device display the processed image on a screen arranged at a position aligned with a line of sight of the user.

An image data processing method includes receiving first frame image data at a first resolution, reducing a resolution of the first frame image data to a second resolution, performing image recognition on the first frame image data to determine one or more regions of interest (ROI) and a priority level of each of the ROIs; receiving second frame image data, and extracting portions of the second frame image data corresponding to the one or more ROIs. The method further includes modifying a resolution of the portions of the second frame image data corresponding to the ROIs based on the priority level of the ROIs, reducing a resolution of the received second frame image data to the second resolution, and combining the resolution-modified portions of the second frame image data corresponding to the ROIs with the second frame image data at the second resolution to generate output frame image data.

A method of assessing the suitability of at least one sample tube for use in a laboratory automation system is disclosed. The method comprises capturing at least one image of at least a part of the sample tube by using a camera of a mobile device, obtaining at least one first item of identification information of the sample tube by analyzing the image, retrieving at least one second item of identification information of the sample tube, and evaluating the first and second items of identification information and assigning the sample tube to at least one suitability category. A mobile device and an assessment system for assessing the suitability of at least one sample tube for use in a laboratory automation system are also disclosed.

An electronic device is provided and includes a housing having a first external surface; a first imaging device exposed through a first portion of the first external surface and comprising a first field of view (FOV); a second imaging device exposed through a second portion adjacent to the first portion and comprising a second FOV narrower than the first FOV; a communication circuit; at least one processor operatively connected to the first imaging device, the second imaging device, and the communication circuit; and a memory operatively connected to the processor and configured to store instructions executed through the processor that cause the processor to generate a first image including a first object and a second object from a first time point through the first imaging device, generate a second image including the first object simultaneously with the generation of the first image from the first time point through the second imaging device, transmit the first image and the second image to an external server through the communication circuit, receive object recognition information of the first object and the second object, detect motion of the electronic device, generate a third image including the second object from a second time point different from the first time point through the second imaging device, extract an object image from the third image, based at least partially on the information or the detected motion, the object image being smaller than the third image, and transmit the object image and the object recognition information to the external server through the communication circuit.

Methods of and systems for operating an embedded system of a vehicle during a coupling operation of the vehicle with a trailer having a coupler. The method comprises accessing a video stream generated by a video camera; operating an object detection module on the video stream so as to detect the trailer and/or the coupler and establish one or more regions of interest. The method also comprises generating a vehicle referential point estimated position of a vehicle referential point and generating a coupler position with respect to the vehicle referential point estimated position based on the one or more regions of interests and the vehicle referential point estimated position.

Structural health monitoring (SHM)/nondestructive evaluation (NDE) exists as a tool in conjunction with manufactured pieces. Presently disclosed subject matter integrates automated video with a structural health monitoring system. In conjunction with bridge monitoring, integration of such two systems automates determination of the effect or correlation of vehicular loading on SHM data from a subject bridge. Such correlations help to understand the sources of structural health monitoring data, particularly acoustic emission data, in bridges and other structures, such as dams and nuclear plants. Automation of the evaluation of bridges and other structures increases accuracy and minimizes risk to workers and the public. Assessing the structural condition of bridges and other structures as presently disclosed also facilitates automated asset management of transportation systems, such as by state departments of transportation and other bridge/structural owners.

The invention relates to a food preparation entity comprising a cavity (2) for receiving food to be prepared and an image recognition system (3) for gathering optical information of the food to be prepared, wherein the food preparation entity (1) is further adapted to store, gather and/or receive meta-information and select one or more food types out of a list of food types based on said meta-information and said captured optical information.

To make an object image to be displayed on an image processing apparatus that executes bidirectional communication, for example, an optimum display image according to types of information of a display unit, an object, a viewer, and the like. A display area information acquisition unit acquires display area information of the display unit, and an image acquisition unit acquires an input image including the object to be displayed on the display unit. Further, an image information analysis unit executes input image analysis processing, and a display mode determination unit determines a display mode of the object to be displayed on the display unit, applying an analysis result, and displays an output image generated according to the determined display mode on the display unit. Processing for a missing portion of the object in the case of performing full-size display, correction of a line of sight position, and the like are executed.

There is provided a 2-stage moving average filter for a navigation device including a delta regulator and an N-taps average circuit. The delta regulator is used as a first stage to receive motion delta at a varied frequency, and combine or split the received motion delta to output a regulated motion delta at a fixed frequency. The N-taps average circuit receives and averages N regulated motion delta and outputs the averaged motion delta at a fixed frequency.