A method and system including: an aerial vehicle including: a first camera comprising a first sensor having at least red, green, and blue color channels, where the blue color channel is sensitive to near-infrared (NIR) wavelengths; a first optical filter disposed in front of the first sensor, wherein the first optical filter is configured to block wavelengths below green, between red and NIR, and longer wavelength NIR; a processor having addressable memory in communication with the first camera, where the processor is configured to: capture at least one image of vegetation from the first camera; provide red, green, and NIR color channels from the captured image from the first camera; and determine at least one vegetative index based on the provided red, green, and NIR color channels.

A device for displaying information and for capture of prints of a plurality of skin areas of human autopodia by means of reflection, comprising: a placement surface for applying the autopodia, a touch-sensitive layer, an LC unit with pixels arranged which are individually controllable by a control unit, an illumination unit with a transparent light-guide-layer body, first and second illumination means, and an optical sensor layer with sensors below the light-guide-layer body. The first illumination means emits diffuse light in a first wavelength range, and the second emits directed light in a predefined angular range and in a second wavelength range. The sensor elements are sensitive to light of the second wavelength range. The pixels are switchable between a state which is transparent to the diffuse light and directed light and a state which is opaque to the diffuse light, and are illuminated by the diffuse light for displaying information.

A device for displaying information and for capture of prints of a plurality of skin areas of human autopodia by means of reflection, comprising: a placement surface for applying the autopodia, a touch-sensitive layer, an LC unit with pixels arranged which are individually controllable by a control unit, an illumination unit with a transparent light-guide-layer body, first and second illumination means, and an optical sensor layer with sensors below the light-guide-layer body. The first illumination means emits diffuse light in a first wavelength range, and the second emits directed light in a predefined angular range and in a second wavelength range. The sensor elements are sensitive to light of the second wavelength range. The pixels are switchable between a state which is transparent to the diffuse light and directed light and a state which is opaque to the diffuse light, and are illuminated by the diffuse light for displaying information.

A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for Hemolysis, Icterus, and/or Lipemia, or Normal detection. The method captures one or more images of a labeled specimen container including a serum or plasma portion, processes the one or more images to provide segmentation data and identification of a label-containing region, and classifying the label-containing region with a convolutional neural network (CNN) to provide a pixel-by-pixel (or patch-by-patch) characterization of the label thickness count, which may be used to adjust intensities of regions of a serum or plasma portion having label occlusion. Optionally, the CNN can characterize the label-containing region as one of multiple pre-defined label configurations. Quality check modules and specimen testing apparatus adapted to carry out the method are described, as are other aspects.

An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. At least one force-controlled component is engageable by a user and connected to the mechanical support system, with the force-controlled component configure to reduce force when applied user force is great enough to cause tip-over or unwanted movement of the mechanical support system. The force-controlled component can be graspable by a user and allows for a range of exercise types and programs.

A method and system for generating a three-dimensional representation of a vehicle to assess damage to the vehicle. A mobile device may capture multispectral scans of a vehicle from each a plurality of cameras configured to scan the vehicle at a different wavelength of the electromagnetic spectrum. A virtual model of the vehicle may be generated from the multispectral scan of the vehicle, such that anomalous conditions or errors in individual wavelength data are omitted from model generation. A representation of the virtual model may be presented to the user via the display of the mobile device. The virtual model of the vehicle may further be analyzed to assess damage to the vehicle.

An image processing apparatus includes a light source, an image sensor, and an invisible component remover. The light source emits visible component light and invisible component light to a target object. The image sensor receives reflected light from the target object to detect a visible invisible mixture image including an invisible component and a visible component and an invisible image including an invisible component. The invisible component remover, based on the visible invisible mixture image and the invisible image which have been detected, removes the invisible component from the visible invisible mixture image to generate a visible image. The invisible component remover includes a removal calculator performing a removal calculation process of an invisible component with respect to the visible invisible mixture image, and a noise reducer performing a noise reduction process on at least one of images to be input to and output from the removal calculator.

Technology described herein includes a method that includes obtaining a set of color-coded sequences, each of which includes a sequence of colors. Each color-coded sequence has auto-correlation properties characterized by a merit factor larger than a first predetermined threshold, and cross-correlation properties among the color-coded sequences characterized by a demerit factor lower than a second predetermined threshold. A color-coded sequence is randomly selected from the set of color-coded sequences. A subject is illuminated in accordance with the sequence of colors in the selected color-coded sequence. A sequence of images of the subject are captured, and are temporally synchronized with illumination by the color-coded sequence. A filtered response image is generated from the sequence of images by a matched filtering process. Based on the filtered response image, it is determined that the subject is an alternative representation of a live person. In response, access to a secure system is prevented.

Technology described herein includes a method that includes obtaining a set of color-coded sequences, each of which includes a sequence of colors. Each color-coded sequence has auto-correlation properties characterized by a merit factor larger than a first predetermined threshold, and cross-correlation properties among the color-coded sequences characterized by a demerit factor lower than a second predetermined threshold. A color-coded sequence is randomly selected from the set of color-coded sequences. A subject is illuminated in accordance with the sequence of colors in the selected color-coded sequence. A sequence of images of the subject are captured, and are temporally synchronized with illumination by the color-coded sequence. A filtered response image is generated from the sequence of images by a matched filtering process. Based on the filtered response image, it is determined that the subject is an alternative representation of a live person. In response, access to a secure system is prevented.

There is provided a recognition system adaptable to a portable device or a wearable device. The recognition system senses a body heat using a thermal sensor, and performs functions such as the living body recognition, image denoising and body temperature prompting according to detected results.