In a light receiving device, a light receiving element includes a first photoelectric conversion unit (PD) that converts light into electric charges, a first electric charge storage unit (MEM) to which the electric charges are transferred from the first photoelectric conversion unit, a first distribution gate, a second electric charge storage unit (MEM) to which the electric charges are transferred from the first photoelectric conversion unit, and a second distribution gate, in which the first and second distribution gates are provided at positions axially symmetric to each other with respect to a first center axis extending so as to pass through the center of the first photoelectric conversion unit, in a direction intersecting the column direction at a predetermined angle, when viewed from above the semiconductor substrate.

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.

The invention relates to an image sensor comprising: •an optical system (2a) for receiving an optical signal; •a Bayer matrix (4) located on the image focal plane of the optical system (2a), the Bayer matrix (1) comprising: a reference optical filter (B1) configured to eliminate or attenuate, in the received optical signal, a first band of wavelengths and to allow through, in the received optical signal, a second band length of wavelengths, and also eight optical filters adjacent to the reference optical filter (B1); •a phase mask (2c, 22, 28) arranged on a pupil (2b) of the optical system (2a) and configured to selectively project at least 98% of the energy of the optical signal carried in the first band of wavelengths and 98% of the energy of the optical signal carried in the second band of wavelengths on the reference optical filter (B1) and on at least one adjacent optical filter, which is configured to allow through, in the received optical signal, the first band of wavelengths.

A method and verification system for verifying pharmaceuticals packaged within a pouch using a pharmacy packaging system. The method includes activating a first light source to illuminate the pharmaceutical pouch, capturing a first image of the pharmaceutical pouch while illuminated by the first light source, activating a second light source to illuminate the pharmaceutical pouch, and capturing a second image of the pharmaceutical pouch while illuminated by the second light source. The method further includes generating a third image based on the first image and the second image, generating a dashboard to simultaneously display first images, second images, and third images from a plurality of pharmaceutical pouches, providing a number of pills indication of a number of pills detected in the pouch against a number of pills expected in the pouch, and displaying the dashboard.

Apparatus for generating images using a mechanical infrared cut-off switch are disclosed herein. An example apparatus including an optical system for generating images includes a mechanical infrared light filter movable between a first position and a second position. The mechanical infrared light filter may be configured to allow infrared light to pass through the optical system while in the first position and configured to filter out infrared light from the optical system while in the second position. The example apparatus also includes an imaging sensor including imaging pixels and infrared pixels, and may be configured to receive light from the optical system. Additionally, the example apparatus includes a processor configured to receive visible light data and infrared light data from the image sensor. The processor may further be configured to generate a combined image based on the visible light data and the infrared light data.

A pixel cell comprises a plurality of pixels, each pixel comprising a photodiode, a readout circuit comprising a first readout component and a second readout component, wherein a first group of the pixels is configured to detect electromagnetic radiation in a first wavelength range, a second group of the pixels is configured to detect electromagnetic radiation in a second wavelength range, the first readout component is connected with the first group of pixels, the second readout component is connected with the second group of pixels, the first wavelength range is different from the second wavelength range, and the second readout component comprises a plurality of storage capacitors, wherein each pixel of the second group of pixels is assigned to at least one of the storage capacitors, or the second readout component comprises a memory element. Furthermore, a method for operating a pixel cell is provided.

Architecture and methodology of imaging systems are provided for multispectral tissue imaging with various embodiments. The architectural designs comprise hardware of multispectral light engines and cameras and software of image acquisition, processing, modeling, visualization, and quantification. Embodiments of imaging hardware in a medical device can include a light engine of multiple sources for noncoherent light for visible and fluorescence imaging and coherent light of very narrow bandwidths for laser speckle imaging. The imaging software can include anatomical imaging by visible light, blood perfusion imaging by fluorophores in blood, blood flow distribution imaging by light of high coherence, blood oxygen saturation imaging by light absorption in tissues and tissue composition imaging by light scattering in tissues based on the radiative transfer model of light-tissue interaction. Form factors in medical devices include endoscopic, laparoscopic, arthroscopic devices in medical tower or robot systems, cart device, and handheld scanning or tablet devices.

The present invention provides an image processing apparatus comprising: a first camera obtaining a true-color image by capturing a subject; a second camera spaced apart from the first camera and obtaining an infrared image by capturing the subject; and a control unit connected to the first camera and the second camera, wherein the control unit matches the true-color image and the infrared image and obtains three-dimensional information of the subject by using the matched infrared image in a region corresponding to the matched true-color image and a valid pixel.

A biological tissue analyzing device configured to analyze a biological tissue using hyperspectral data in which spectral information is associated with each of pixels forming a two-dimensional image and comprising the following (i) and (ii), as well as comprising (iii) and/or (iv): (i) a hyperspectral data acquisition unit configured to acquire the hyperspectral data; (ii) an analysis target region extraction unit configured to extract pixels corresponding to an analysis target region from a two-dimensional image of the biological tissue; (iii) an altered state classification unit configured to roughly classify an altered state of the biological tissue with unsupervised learning; and (iv) an altered state identification unit configured to identify the altered state of the biological tissue with supervised learning.

The technology disclosed relates to a motion sensory and imaging device capable of acquiring imaging information of the scene and providing at least a near real time pass-through of imaging information to a user. The sensory and imaging device can be used stand-alone or coupled to a wearable or portable device to create a wearable sensory system capable of presenting to the wearer the imaging information augmented with virtualized or created presentations of information.