A display system includes visible light-emitting first devices and infrared light-emitting second devices, infrared light-detecting third devices, an optically reflecting first film between the third devices and the first and second devices, and an optically reflecting second film between the first film and third devices. The optically reflecting second film defines first openings aligned with the third devices in a one-to-one correspondence. The first devices emit a first wavelength in a visible wavelength range, and the second devices are configured to emit a second wavelength in an infrared wavelength range. The third devices are configured to detect the second wavelength. The first film has an average reflectance of greater than 60% for the visible wavelength range, and an average transmittance of greater than 50% for the infrared wavelength range. The second film has an average reflectance of greater than 60% for the visible and infrared wavelength ranges.

An image processing apparatus and an image processing method for processing far-infrared ray images are provided. Specific temperature ranges constituted by pixels having values falling within a temperature range characteristic of a specific target are extracted from a far-infrared ray image captured of the same target. Of the specific temperature ranges, those having motion vectors close to each other are integrated so as to generate integrated ranges. The integrated ranges having motion vectors close to a global motion vector indicative of the motion of the image as a whole are excluded to obtain excluded integrated ranges. Visible light ranges corresponding to the specific temperature ranges in the excluded integrated ranges are extracted from the visible light image to generate visible light motion ranges. The positions of the visible light motion ranges are corrected on the basis of the motion vector of the excluded integrated ranges as a whole.

A recognition processing apparatus includes a video acquisition unit configured to acquire first captured image data of surroundings of a host vehicle captured by a far-infrared camera, an other vehicle detection unit configured to detect another vehicle parked or stopped in the surroundings of the host vehicle, a heat detection unit configured to detect radiated heat associated with an operation of the other vehicle based on a thermal distribution in a region corresponding to the other vehicle in the first captured image data, and a person detection unit configured to, when the radiated heat has been detected, preferentially execute person recognition in a vicinity of the other vehicle to detect a person. The recognition processing apparatus can ascertain the possibility that a person gets out of a detected vehicle and promptly detect such a person.

A method for estimating human body temperature includes receiving, via a thermal camera, a thermal image captured of a real-world environment, the thermal image including thermal intensity values for each of a plurality of pixels of the thermal image. A position of a human face is identified within the thermal image, the human face corresponding to a human subject. An indication of a distance between the human subject and the thermal camera is received. Based on the distance, a distance correction factor is applied to one or more thermal intensity values of one or more pixels corresponding to the human face to give one or more distance-corrected thermal intensity values. Based on the one or more distance-corrected thermal intensity values an indication of a body temperature of the human subject is reported.

A method for estimating human body temperature includes receiving, via a thermal camera, a thermal image captured of a real-world environment, the thermal image including thermal intensity values for each of a plurality of pixels of the thermal image. A position of a human face is identified within the thermal image, the human face corresponding to a human subject. An indication of a distance between the human subject and the thermal camera is received. Based on the distance, a distance correction factor is applied to one or more thermal intensity values of one or more pixels corresponding to the human face to give one or more distance-corrected thermal intensity values. Based on the one or more distance-corrected thermal intensity values an indication of a body temperature of the human subject is reported.

The invention relates to devices intended for reading and recognizing printed or written characters or for recognizing patterns, e.g., fingerprints, for document verification/authentication (e.g., passport verification). A portable hardware-software complex (PHSC) includes a housing with a visible spectrum camera and a fingerprint scanner. The housing includes a power supply unit and a processor. On the housing from the fingerprint scanner side there is a display, and on the back side of the housing there is a visible spectrum camera with two or more sources of visible spectrum radiation and UV radiation, installed to illuminate the visible spectrum camera field of view. On the back side of the body there is an infrared camera and one or more sources of infrared radiation, for illuminating the field of view of the infrared camera.

A sensing device includes a substrate, a first circuit, a second circuit, a first photodetector, and a second photodetector. The substrate has a sensing region. The first circuit is disposed on the substrate and in the sensing region, and configured to sense a fingerprint. The second circuit is disposed on the substrate and in the sensing region, and configured to sense a living body. The first photodetector is electrically connected to the first circuit. The second photodetector is electrically connected to the second circuit. The area of the second photodetector is larger than the area of the first photodetector.

The present disclosure describes a computational imaging system that uses a supervised learning algorithm to jointly process the captured image data to identify task-optimal hardware settings and then uses the task-optimal hardware settings to dynamically adjust its hardware to improve specific performance. The primary application of this device is for rapid and accurate automatic analysis of images of biological specimens.

The present invention provides a display device, which includes a frame having an accommodating cavity and a display module disposed in the accommodating cavity. The display module includes a first light source, an optical unit, an imaging unit arranged on a side of the optical unit facing away from the first light source, and a lens array arranged on a side of the imaging unit facing away from the first light source. Corresponding to a preset pattern, light emitted by the first light source passes through the optical unit, the imaging unit and the lens array to form a default floating image in a floating display area outside the accommodating cavity. In addition, the present invention also provides a non-contact key and an input device including the above display module.

The present invention provides a display device, which includes a frame having an accommodating cavity and a display module disposed in the accommodating cavity. The display module includes a first light source, an optical unit, an imaging unit arranged on a side of the optical unit facing away from the first light source, and a lens array arranged on a side of the imaging unit facing away from the first light source. Corresponding to a preset pattern, light emitted by the first light source passes through the optical unit, the imaging unit and the lens array to form a default floating image in a floating display area outside the accommodating cavity. In addition, the present invention also provides a non-contact key and an input device including the above display module.