A substrate inspection apparatus configured to inspect a substrate with an image obtained by imaging a surface of the substrate includes a holder 31 configured to hold the substrate; a first light source unit 51 configured to emit visible light to the substrate held by the holder 31; a second light source unit 52 configured to emit infrared light to the substrate held by the holder 31; a first imaging sensor configured to capture a visible light image of the surface of the substrate by receiving first reflected light emitted from the substrate as a result of radiating the visible light; and a second imaging sensor configured to capture an infrared light image of the surface of the substrate by receiving second reflected light emitted from the substrate as a result of radiating the infrared light.

An imaging device for producing images of a scene, the imaging device comprising: a first and a second hyperchromatic lens being arranged in a stereoscopic configuration to receive light from the scene; image sensor circuitry configured to capture a first and second image of the light encountered by the first and the second lens respectively; processor circuitry configured to: produce depth information using the captured first and second images of the scene and produce a resultant first and second image of the scene using both the captured first and second image and the depth information.

An imaging device includes: an imaging portion that captures an image of a portion of a living body to take in the image; a display portion that displays first and second display images with being superimposed on each other, the first display image being based on the taken-in image, the second display image including guidance regarding a way to place the portion of the living body in a prescribed position; a determination portion that determines whether the portion of the living body is placed in the prescribed position; and a control portion that, until it is determined that the portion of the living body is placed in the prescribed position, causes the imaging portion to newly capture and take in a new image of the portion of the living body and causes the display portion to display an image based on the new taken-in image.

Methods, systems, and computer program products of fusing Molecular Chemical Imaging (MCI) and Red Green Blue (RGB) images are disclosed herein. A sample is illuminated with illuminating photons which interact with the sample and are used to form MCI and RGB images. The MCI and RGB images are fused by way of mathematical operations to generate a RGB image with a detection overlay.

The present invention discloses system and method for fake face identification. The system is a multi-spectral sensing based bio-security system. The system uses CNN module along with thermal sensors to detect human face and also detects the human temperature. The system authenticates a human face and in case of temperature generates an alarm as an alert.

A method of autonomous vehicle control, comprising: receiving an image of a lenticular human-imperceptible marker embedded in an element of an environment that an autonomous vehicle is moving in, the marker having a pattern usable for determining positional data of the moving vehicle, the image captured using human-invisible light, analyzing the received image of the human-imperceptible marker, and controlling the autonomous vehicle based on the analyzed image of the human-imperceptible marker.

A method of reduce the impact of noise on a depth image produced using a Time Of Flight (TOF) camera uses an infrared image produced from one or more phase-specific images captured by the TOF camera to determine whether to move pixels in the depth image from one phase section to another.

The present disclosure provides systems, apparatus, methods, and computer-readable media that support multi-frame depth-of-field (MF-DOF) for deblurring background regions of interest (ROIs), such as background faces, that may be blurred due to a large aperture size or other characteristics of the camera used to capture the image frame. The processing may include the use of two image frames obtained at two different focus points corresponding to the multiple ROIs in the image frame. The corrected image frame may be determined by deblurring one or more ROIs of the first image frame using an AI-based model and/or local gradient information. The MF-DOF may allow selectively increasing a depth-of-field (DOF) of an image to provide focused capture of multiple regions of interest, without causing a reduction in aperture (and subsequently an amount of light available for photography) or background blur that may be desired for photography.

A depth acquisition device includes a memory and a processor. The processor performs: acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring, from the memory, an infrared light image generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring, from the memory, a visible light image generated by imaging a substantially same scene as the scene of the infrared light image, with visible light from a substantially same viewpoint as a viewpoint of imaging the infrared light image at a substantially same time as a time of imaging the infrared light image; detecting a flare region from the infrared light image; and estimating a depth of the flare region based on the infrared light image, the visible light image, and the flare region.

Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.