Systems and techniques for operating system integrated image capture guidance are described herein. An indication may be received of an object to be captured for completing a transaction. Configuration data may be obtained for an image of the object. The configuration data may indicate an orientation of the object in the image. An image of the object may be obtained from an imaging sensor of a device. A discrepancy may be determined between the orientation of the object in the image using the configuration data. Orientation guidance may be generated that indicates repositioning of the object in the image. It may be determined that the discrepancy between the orientation of the object in the image has been eliminated. Capture guidance may be generated for output via the device based on a set of commands determined based on detection of an operating system executing on the device.

An image capture apparatus having a customizing function of assigning a predetermined shooting function to a predetermined operation member, comprises a memory and at least one processor which function as an acquisition unit configured to acquire shot image information obtained by a shooting operation of a user, and an estimation unit configured to estimate an operation member suitable for a customizing function to be recommended to a user as a result of executing an estimation processing based on the shot image information.

An image capture apparatus having a customizing function of assigning a predetermined shooting function to a predetermined operation member, comprises a memory and at least one processor which function as an acquisition unit configured to acquire shot image information obtained by a shooting operation of a user, and an estimation unit configured to estimate an operation member suitable for a customizing function to be recommended to a user as a result of executing an estimation processing based on the shot image information.

An electronic device for auto focus is provided. The electronic device includes determining, by the electronic device, at least one region of interest (ROI) in a scene displayed in one of a viewfinder and a captured image frame and determining, by the electronic device, at least one sub ROI in the at least one ROI by performing a first level of auto focus using at least one first image sensor. Further, the method includes determining, by the electronic device, at least one focused sub ROI by performing a second level of auto focus on the at least one sub ROI using at least one second image sensor and rendering, by the electronic device, a focus transition for the at least one focused sub ROI to one of the viewfinder and the captured image frame.

An apparatus includes a preprocessing network and a quantized neural network. The preprocessing network may be configured to (a) receive an input, (b) perform a transform operation on the input, and (c) generate an intermediate result in response to the transform operation. The quantized neural network may be configured to (a) receive the intermediate result, (b) perform a plurality of weighted operations on the intermediate result, and (c) generate an output in response to the weighted operations. The quantized neural network is generally adapted to a hardware constraint of an edge device. The weighted operations generally have a quantization loss corresponding to the hardware constraint. The transform operation performed by the preprocessing network is generally configured to provide compensation for the quantization loss.

A method implementing dynamic camera presets. An image is received. A list of bounding boxes and a list of classification values are generated from the image. A set of tags, for the image, are generated from the list of bounding boxes and the list of classification values. A tagged image incorporating the set of tags into the image is presented. In response to a user input, a tag selection identifying a tag of the set of tags is received. View settings are adjusted to focus on a bounding box, from the list of bounding boxes, corresponding to the tag selection. An adjusted image is presented using the view settings.

The present technology relates to a focus detection device and method and a program by which an accurate image shift amount can be detected. A calculation unit performs calculation based on learning on the basis of a received light amount distribution of an A pixel group having a first property for phase difference detection and a received light amount distribution of a B pixel group having a second property different from the first property and outputs defocus amount related information relating to a defocus amount. The present technology can be applied to an imaging apparatus that performs focus detection by a phase difference detection method.

An intelligent assistant control method is provided: starting, by a terminal device, a lens; displaying, by the terminal device, a preview interface on a display screen, where the preview interface includes a to-be-photographed object; and if the terminal device determines that the preview interface has been stably displayed for preset duration, displaying, by the terminal device, first prompt information of a photographing mode in the preview interface, where the first prompt information is used to recommend a first photographing mode to a user, and the first photographing mode is determined by the terminal device based on scene information of the to-be-photographed object.

An image capturing apparatus that includes a mounting part capable of attaching/detaching a device capable of holding at least an image captured by the image capturing apparatus and capable of communicating with the mounted device in accordance with a predetermined standard is provided. The apparatus outputs to a device, if the device having a function of executing image analysis processing for image data captured by the image capturing apparatus is mounted in the mounting part, a command complying with the predetermined standard and configured to cause the device to execute the image analysis processing. The apparatus outputs at least two commands associated with each other and configured to cause the device to execute the image analysis processing, wherein each of the at least two commands includes data representing that the at least two commands are associated with each other.

Systems and methods for machine learning assisted contactless control of a physical device are disclosed. In some embodiments, a system comprises at least one processor and memory storing instructions executable by the at least one processor, the instructions when executed cause the system to obtain a plurality of images of a physical device; identify the physical device and a control panel of the physical device using the one or more images; train, using supervised learning, a plurality of machine learning control operations models of a machine learning system, to determine control operations of one or more components of the control panel; and deliver a trained control operations model of the plurality of control operations models to a user device to facilitate contactless control of the physical device by the user device.