A method, computer program product, and system to perform a sale transaction are provided. The method includes identifying each item of a plurality of items, based on at least one image of the plurality of items, determining a cost for each item, optionally identifying a person based on an image of the person, adding each of the items and each of the costs to a sale transaction, and charging the person for the sale transaction.

Provided are methods, systems, and devices for generating semantic objects and an output based on the detection or recognition of the state of an environment that includes objects. State data, based in part on sensor output, can be received from one or more sensors that detect a state of an environment including objects. Based in part on the state data, semantic objects are generated. The semantic objects can correspond to the objects and include a set of attributes. Based in part on the set of attributes of the semantic objects, one or more operating modes, associated with the semantic objects can be determined. Based in part on the one or more operating modes, object outputs associated with the semantic objects can be generated. The object outputs can include one or more visual indications or one or more audio indications.

Disclosed is a system, method, and devices as system elements to recognize an object by an object recognizing system including an imaging device and a moving assembly to move the imaging device around the object, to form a certified visual model of the object to be recognized. Especially the disclosure relates to gemstone imaging by an imaging method including photographing a target, in an illumination, by a camera, to obtain at least one image of the targeted object to be recognized.

A movable carrier auxiliary system includes at least one optical image capturing system disposed on a movable carrier, at least one warning module, and at least one displaying device. The optical image capturing system includes an image capturing module and an operation module, and has at least one lens group including at least two lenses having refractive power. The image capturing module captures and produces an environmental image surrounding the movable carrier. The operation module electrically connected to the image capturing module detects at least one lane marking in the environmental image to generate a detecting signal. The warning module electrically connected to the operation module receives the detecting signal to determine whether a moving direction of the movable carrier deviates from a lane, and generate a warning signal when the moving direction deviates from the lane. The displaying device electrically connected to the warning module displays the warning signal.

A method and an apparatus for camera-free light field video processing with all-optical neural network are disclosed. The method includes: mapping the light field video by a digital micro-mirror device (DMD) and an optical fiber coupler, a two-dimensional 2D spatial optical signal into a one-dimensional 1D input optical signal; realizing a multiply-accumulate computing model in a structure of all-optical recurrent neural network structure, and processing the 1D input signal to obtain the processed signal; and receiving the processed signal and outputting an electronic signal by a photodetector, or receiving the processed signal by a relay optical fiber for relay transmission of the processed signal. The method and system here realize light field video processing without the use of a camera and the whole system is all-optical, thus possessing the advantage in computing speed and energy-efficiency.

An information processing system includes an image-capturing apparatus and an information processing apparatus, the image-capturing apparatus including an image-capturing section that is used to obtain a captured image of a subject, and a feature detector that detects, on the basis of the captured image, feature information that is information indicating a feature of the subject, the image-capturing apparatus or the information processing apparatus including a determination section that determines whether there exists a target subject in the captured image on the basis of detected feature information that is the feature information detected by the feature detector, and on the basis of target feature information that is the feature information to be targeted, the target subject being a subject for which the detected feature information matches or is similar to the target feature information.

An information processing system includes an image-capturing apparatus and an information processing apparatus, the image-capturing apparatus including an image-capturing section that is used to obtain a captured image of a subject, and a feature detector that detects, on the basis of the captured image, feature information that is information indicating a feature of the subject, the image-capturing apparatus or the information processing apparatus including a determination section that determines whether there exists a target subject in the captured image on the basis of detected feature information that is the feature information detected by the feature detector, and on the basis of target feature information that is the feature information to be targeted, the target subject being a subject for which the detected feature information matches or is similar to the target feature information.

A method and system are provided for illuminating and imaging a biological sample using a brightfield microscope for the purpose of counting biological cells. The method comprises positioning a sample to be viewed by way of an objective lens of the microscope, the sample comprising a plurality of biological cells; capturing and storing, using an image capturing apparatus, one or more focal image stacks; processing the one or more focal image stacks using a cell localisation neural network, the cell localisation neural network outputting a list of one or more cell locations; determining, using the list of cell locations, one or more cell focal image stacks, each cell focal image stack being obtained from the one or more focal image stacks; processing the one or more cell focal image stacks using an encoder neural network; determining, using the list of cell locations and the list of cell fingerprints, a number of cells within the sample. The present disclosure aims to provide a quick, non-invasive and reliable mode of counting biological cells.

A display panel includes a substrate and a plurality of photosensitive elements on the substrate, wherein at least a portion of the photosensitive elements are provided with corresponding light-adjusting structures; the light-adjusting structure is on a side of the photosensitive element away from the substrate, and is configured to adjust a propagation direction of incident light reflected by a print and incident on the light-adjusting structure, and to output formed emergent light to the photosensitive element corresponding to the light-adjusting structure, and an included angle between the propagation direction of the formed emergent light and the plane, where the substrate is located, is greater than an included angle between the propagation direction of the incident light and the plane where the substrate is located; and the photosensitive element is configured to generate a corresponding electrical signal according to the received light, to identify an image of the print.

A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image with a visible and NIR light camera and acquire a second image with an infrared camera. The instructions can include further instructions to determine whether the second image includes a live human face by comparing a first infrared profile included in the second image with second infrared profile included in a previously acquired third image acquired with a the infrared camera; and when the second image includes the live human face, output the first image.