In some embodiments, apparatuses, systems, and methods are provided herein useful to assessing products. In some embodiments, an enclosure for use in assessing products comprises a housing including a door configured to allow placement of a product within the housing, a product holding surface located within the housing allowing pictures to be taken through the product holding surface and configured to support the product, a first image capture device configured to capture an image of the product from a first perspective, a second image capture device configured to capture an image of the product from a second perspective, and wherein the image of the product from the second perspective is captured through the product holding surface, and a lighting element, wherein the lighting element is located within the housing, and wherein the lighting element is configured to provide lighting within the housing.

Disclosed in the present invention are a method and a system for monitoring unmanned aerial vehicles based on three-dimensional light field technology. Provided is an unmanned aerial vehicle monitoring method based on three-dimensional light field technology, comprising: beginning unmanned aerial vehicle monitoring; by means of a light field camera, acquiring low resolution video image information; determining whether the acquired video image information is an unmanned aerial vehicle; performing graphic reconstruction on an unmanned aerial vehicle image therein; and acquiring reconstructed light field image depth and position information to monitor the unmanned aerial vehicle and emitting an alert. The method and the system for monitoring in the present invention are able to acquire a clear stereoscopic image, thus raising efficiency and accuracy in the process of unmanned aerial vehicle monitoring or detection.

An image recognition device (image recognition system 100) according to the present disclosure includes an imaging unit (10) and a recognition unit (14). The imaging unit (10) captures a plurality of images at the same exposure start timing in one frame period by using imaging pixels having different sensitivities to generate image data. The recognition unit (14) recognizes a subject from each of the image data. The imaging unit (10) includes a pixel array in which a plurality of imaging pixels having different exposure times, different light transmittances of color filters, or different light receiving areas are two-dimensionally arranged.

An image recognition device (image recognition system 100) according to the present disclosure includes an imaging unit (10) and a recognition unit (14). The imaging unit (10) captures a plurality of images at the same exposure start timing in one frame period by using imaging pixels having different sensitivities to generate image data. The recognition unit (14) recognizes a subject from each of the image data. The imaging unit (10) includes a pixel array in which a plurality of imaging pixels having different exposure times, different light transmittances of color filters, or different light receiving areas are two-dimensionally arranged.

An imaging apparatus provided inside a vehicle is provided. The imaging apparatus is capable of capturing images with different degrees of sensitivity, and the imaging apparatus captures an image for recognizing an inside of the vehicle with high sensitivity, and captures an image for recognizing an outside of the vehicle with low sensitivity.

An imaging apparatus provided inside a vehicle is provided. The imaging apparatus is capable of capturing images with different degrees of sensitivity, and the imaging apparatus captures an image for recognizing an inside of the vehicle with high sensitivity, and captures an image for recognizing an outside of the vehicle with low sensitivity.

Systems and methods for extracting a feature in an image are provided. In one example embodiment, a computer-implemented method includes obtaining image data representing a scene, wherein the image data includes a plurality of images of the scene, each image associated with a different polarization angle. The method includes determining attribute information based at least in part on the plurality of images. The method includes determining one or more features in the image data based at least in part on the attribute information.

Authentication of a user is based on an electronic contact lens that contains a retinal scanner. The retinal scanner captures a retinal scan, which is used to authenticate the user (i.e., what a person is). The contact lens itself may also be used in the authentication process (i.e., what a person has). Authentication based on these two factors are used to control access to assets.

Various embodiments are directed toward systems and methods relating to security screening. For example, a screening system includes chamber scanners oriented to scan different heights corresponding to different respective portions of a user, to identify whether the user is carrying an item that is to be divested. The screening system also includes a divestment scanner configured to obtain a detailed item characterization of the item divested from the user.

A device for identifying a pattern over a first surface includes a photosensitive layer, and a light-guiding layer disposed between the photosensitive layer and the first surface. The photosensitive layer includes a plurality of photosensitive elements, each configured to convert incident light into an electrical signal. The light-guiding layer includes a plurality of light-guiding units, each positionally corresponding to one of the plurality of photosensitive elements. Each light-guiding unit includes a plurality of light-transmitting portions, each configured to guide a light beam reflected from a feature of the pattern positionally corresponding thereto to transmit therethrough and reach one of the plurality of photosensitive elements corresponding to the each of the plurality of light-guiding units. The device can be used for identification of fingerprint, as well as other biometric or non-biometric features, and has a reduced thickness and an improved accuracy for pattern identification.