A camera of a monitoring system detects electromagnetic radiation in at least two different spectrums. The system includes a database of stored images, where the stored images are stored in pairs of images corresponding to each spectrum and to a common face. A controller identifies a match from among the stored images by comparing the first image obtained by the camera in the first spectrum to each of the first images in the database and by comparing the second image obtained from the camera in the second spectrum to the corresponding second image stored in the database. A match is identified when the first image and the second image from the camera match the first image and the corresponding second image for a pair of images in the database.

A camera of a monitoring system detects electromagnetic radiation in at least two different spectrums. The system includes a database of stored images, where the stored images are stored in pairs of images corresponding to each spectrum and to a common face. A controller identifies a match from among the stored images by comparing the first image obtained by the camera in the first spectrum to each of the first images in the database and by comparing the second image obtained from the camera in the second spectrum to the corresponding second image stored in the database. A match is identified when the first image and the second image from the camera match the first image and the corresponding second image for a pair of images in the database.

In general, devices, systems, and methods for fiducial identification and tracking are provided.

An electronic device includes a display panel and a biometric information module. The display panel includes red-light emitting elements, green-light emitting elements, blue-light emitting elements, and light receiving elements that are spaced from each other. The blue-light emitting elements emit blue light in a biometric information mode of the electronic device. The light receiving elements receive at least one of red light and green light in the biometric information mode of the electronic device after the blue-light emitting elements have emitted the blue light. The light receiving elements generate electrical signals in response to the at least one of the red light and the green light. The biometric information module is electrically connected to the display panel and generates biometric information about a skin of a user based on the electrical signals.

Provided is an information processing device that processes information regarding augmented reality.

The information processing device includes an acquisition unit configured to acquire a position and a posture, or a shape of a first part on a body of a user, and a control unit configured to control a virtual object to be displayed in a real space on a display device on the basis of the position and the posture, or the shape of the first part. When recognizing that the first part has performed a first operation for a second part on the body of the user on the basis of the position and the posture, or the shape of the first part acquired by the acquisition unit, the control unit stores an execution state of the virtual object in association with the second part, and stops display of the virtual object by the display device.

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.

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.

An apparatus for predicting a body temperature is provided. The apparatus includes an external environment/activity estimation neural network configured to detect at least one facial region as a region of interest from an input thermal image of a target person to be measured, and estimate an environmental type including an external temperature and participation in physical activity based on a temperature of the at least one region of interest. The apparatus further includes a body temperature prediction neural network configured to predict a body temperature of the target person based on the environmental type estimated by the external environment/activity estimation neural network and the temperature of the at least one region of interest.

Apparatus and methods are disclosed utilizing selected infrared waveband observations to determine selected profiles of interest. A correlative system is constructed and installed at a processor. Thermal and refractivity profiles and structure in a waveband of interest are extracted from observed infrared spectrum single waveband observations received for processing at the processor by the correlative system. The output provides the selected profiles of interest in the waveband of interest. The apparatus includes an infrared receiver and means for measuring angular displacement of received emissions relative to a horizon. The processor converts received emission into equivalent Planck blackbody temperatures across the observations and correlates structure and vertical distribution of the temperatures to provide thermodynamic and refractivity profiles of interest.

Inspection apparatus A according to the present exemplary embodiment includes an illumination device capable of emitting first light in a first wavelength band and reference light in a reference wavelength band overlapping with the first wavelength band, an imaging device that images an inspection body and outputs a pixel signal, and an image processing device. The illumination device emits the first light and the reference light to the inspection body at different timings in one imaging time. The image processing device calculates a first reflectance that is a reflectance in the first wavelength band of the object based on the pixel signal, and determines physical properties of the object based on the first reflectance.