Systems and methods for vision test and uses thereof are disclosed. A method may be implemented on a mobile device having at least a processor, a camera and a display screen. The method may include capturing at least one image of a user using the camera of the mobile device; interactively guiding the user to a predetermined distance from the display screen of the mobile device based on the at least one image; presenting material on the display screen upon a determination that the user is at the predetermined distance from the display screen; and receiving input from the user in response to the material presented on the display screen. The material presented on the display screen may be for assessing at least one characteristic of the user's vision. Mobile devices and non-transitory machine-readable mediums having machine-executable instructions embodied thereon for assessing a user's vision also are disclosed.

In some examples, an unmanned aerial vehicle (UAV) may determine, based on a three-dimensional (3D) model including a plurality of points corresponding to a scan target, a scan plan for scanning at least a portion of the scan target. For instance, the scan plan may include a plurality of poses for the UAV to assume to capture images of the scan target. The UAV may capture with one or more image sensors, one or more images of the scan target from one or more poses of the plurality of poses. Further, the UAV may determine an update to the 3D model based at least in part on the one or more images. Additionally, the UAV may update the scan plan based at least in part on the update to the 3D model.

Technologies for source degradation and auto-tuning of cameras are disclosed. In one embodiment, a system includes a compute node connected to one or more cameras. The cameras can monitor an environment, such as a manufacturing process in a factory. The compute node may use image processing, such as a machine-learning-based algorithm, to monitor processes. A system integrator may adjust parameters of the camera and/or the algorithm, such as focus, gain, contrast, white balance, etc. The compute node can monitor the system integrator and learn how to adjust parameters in order to improve key performance indicators (KPIs) of the monitored process. In a production environment, the compute node may then automatically adjust parameters of the camera and/or analysis algorithm based on the actions of the system integrator in order to improve performance of the analysis algorithm.

Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

A system configured to assist a user in scanning a physical environment in order to generate a three-dimensional scan or model. In some cases, the system may include an interface to assist the user in capturing data usable to determine a scale or depth of the physical environment and to perform a scan in a manner that minimizes gaps.

An imaging assistance control apparatus according to the present technology includes a control unit that performs control such that guidance regarding a composition change operation by a user is performed by tactile presentation to the user on the basis of a difference between a target composition and an actual composition.

An electronic apparatus is provided. The electronic apparatus includes: a camera; a processor configured to control the camera; and a memory configured to be electrically connected to the processor and to store a network model trained to determine a degree of matching between an input image frame and predetermined feature information, wherein the memory stores at least one instruction, and wherein the processor is configured, by executing the at least one instruction, to: identify a representative image frame based on a degree of matching obtained by applying image frames, selected from among a plurality of image frames, to the trained network model, while the plurality of image frames are captured through the camera, identify a best image frame based on a degree of matching obtained by applying image frames within a specific section including the identified representative image frame, to the trained network model, from among the plurality of image frames, and provide the identified best image frame.

This application discloses a photographing method and an apparatus in, relates to the photographing field and the field of image processing technologies. When a plurality of persons take a group photo, no help from a third party is required. Therefore, implementation is convenient, and user satisfaction with a group photo result can be improved, thereby improving user experience. The method includes: obtaining a first image including an image of a first photographing background and the first to-be-photographed subject; then displaying a first preview interface, the first preview image includes an image of a second photographing background and an image of the second to-be-photographed subject, and a degree of coincidence between the image of the second photographing background and the image of the first photographing background is greater than or equal to a preset degree of coincidence; obtaining a target image based on the first image and the first preview image.

An electronic device is provided. The electronic device includes a camera, a display, a memory, a location positioning circuitry, and at least one processor operatively coupled to the camera, the display, the memory, and the location positioning circuitry, wherein the at least one processor may determine a first position and a first direction of a user through the location positioning circuitry, obtain surrounding information about the first position from a map database, generate scan request information including a reference target from the map database on the basis of the surrounding information, display a capture guide on the display such that a capture target corresponding to the reference target is captured with the camera by using the scan request information, determine a second position and a second direction by using the capture target and the reference target, and display the second position and the second direction on the display.

An example electronic device includes a first housing; a second housing; a camera module; a flexible display including a first area exposed at the front surface of an electronic device in a state in which the electronic device is closed, and a second area extended from the first area and exposed at the back surface of the electronic device; a memory; and a processor operatively connected to the camera module, the flexible display and the memory. The processor is configured to control to drive the camera module based on user input, display, in the first area and the second area, an image acquired from the camera module, provide first photography guidance information through the first area, and provide, through the second area, second photography guidance information that differs from the first photography guidance information.