An electronic apparatus includes: control means for performing control to record, in recording means, characteristic data on a line-of-sight; authentication means for authenticating a user; and detection means for detecting, in a case where characteristic data on a line-of-sight of the authenticated user is recorded in the recording means, a line-of-sight of the user by using the recorded characteristic data on the line-of-sight.

The present disclosure relates to a mobile terminal having a lighting unit and a control method thereof. A mobile terminal according to one implementation includes a lighting unit, a camera, and a controller configured to control the lighting unit to irradiate illumination light to a subject to be captured through the camera, and control the camera to capture the subject irradiated with the illumination light, wherein the controller is configured to determine a material of the subject based on information related to the illumination light irradiated on the subject captured through the camera.

The present disclosure relates to a mobile terminal having a lighting unit and a control method thereof. A mobile terminal according to one implementation includes a lighting unit, a camera, and a controller configured to control the lighting unit to irradiate illumination light to a subject to be captured through the camera, and control the camera to capture the subject irradiated with the illumination light, wherein the controller is configured to determine a material of the subject based on information related to the illumination light irradiated on the subject captured through the camera.

Methods and systems estimate crop coefficients of a crop. At least one image sensor system captures a plurality of multispectral images of the crop and image data is derived from the multispectral images. At least one vegetation index of the crop is determined based on image data in at least a first spectral band. The reflectance of the crop monotonically increases and reaches a reflectance of at least 20% for at least one wavelength in the first spectral band. A crop coefficient of the crop is estimated based on the determined at least one vegetation index.

Methods and systems estimate crop coefficients of a crop. At least one image sensor system captures a plurality of multispectral images of the crop and image data is derived from the multispectral images. At least one vegetation index of the crop is determined based on image data in at least a first spectral band. The reflectance of the crop monotonically increases and reaches a reflectance of at least 20% for at least one wavelength in the first spectral band. A crop coefficient of the crop is estimated based on the determined at least one vegetation index.

A simultaneous location and mapping (SLAM)-enabled video game system, a user device of the video game system, and a computer-readable storage medium of the user device are disclosed. Generally, the video game system includes a video game console, a plurality of thermal beacons, and a user device communicatively coupled with the video game console. The user device includes a thermopile array, a processor, and a memory. The user device may receive thermal data from the thermopile array, the thermal data corresponding to a thermal signal emitted from a thermal beacon of the plurality of thermal beacons and detected by the thermopile array. The user device may determine, based on the thermal data, its location in 3D space, and then transmit that location to the video game system.

A bulk sorting system for sorting objects in bulk is provided. The bulk sorting system includes: at least one radiation source arranged to radiate the objects, at least one optical sensor arranged to capture reflected radiation of the objects and acquire the reflected radiation as multi- or hyperspectral data; a processing circuit configured to analyze the reflected radiation of the objects by inputting the multi- or hyperspectral data into a convolutional neural network (CNN) with at least two convolutional layers in order to either detect and classify the objects in the multi- or hyperspectral data and/or semantically segment the multi- or hyperspectral data; and a mechanical sorter configured to sort the objects according to their classification and/or segmentation using the analysis of the processing circuit such that different overlapping and/or stacked objects are separated or treated as a single group of objects.

A bulk sorting system for sorting objects in bulk is provided. The bulk sorting system includes: at least one radiation source arranged to radiate the objects, at least one optical sensor arranged to capture reflected radiation of the objects and acquire the reflected radiation as multi- or hyperspectral data; a processing circuit configured to analyze the reflected radiation of the objects by inputting the multi- or hyperspectral data into a convolutional neural network (CNN) with at least two convolutional layers in order to either detect and classify the objects in the multi- or hyperspectral data and/or semantically segment the multi- or hyperspectral data; and a mechanical sorter configured to sort the objects according to their classification and/or segmentation using the analysis of the processing circuit such that different overlapping and/or stacked objects are separated or treated as a single group of objects.

A method for preventing a collision between a first object and a second object using a camera. The method includes capturing images of the first object and the second object using the camera, accessing a database of point clouds, and identify a first point cloud corresponding to the first object and a second point cloud corresponding to the second object within the database of point clouds, where the first point cloud corresponds to the first object being a person. The method further includes calculating a distance between the first object and the second object and comparing the distance to a threshold. The method further includes generating a notification when the distance is below the threshold.

A radiation imaging control apparatus is provided that includes a camera imaging control unit configured to control a camera apparatus to image an implementation state of a radiation imaging examination, a subject body shape recognition unit configured to recognize a body shape in an imaging part of a subject by using a camera image imaged by the camera apparatus under a control of the camera imaging control unit, a specifying unit configured to specify a radiation imaging setting related to the radiation imaging examination by using the body shape in the imaging part of the subject recognized by the subject body shape recognition unit, and a selecting unit configured to select the radiation imaging setting specified by the specifying unit as setup information of the radiation imaging examination.