A method is applied to an electronic device. After detecting a fingerprint event, a fingerprint driver directly transmits the fingerprint event to a display driver, and the display driver further controls a display to display a first light spot based on preset first-light-spot display data. According to this solution, no layer for light spot display needs to be rendered at a logic display layer, sparing the need of reporting a fingerprint event layer by layer to the fingerprint service and then delivering light spot display data by the fingerprint service layer by layer, thereby reducing time spent on layer-by-layer event reporting and layer-by-layer display data delivery. This significantly reduces time spent on a process from finger tapping on a fingerprint detection zone to displaying of a light spot, increases a speed of responding to a fingerprint event, and reduces time of an entire fingerprint recognition process.

The disclosure relates to a device and positron emission tomography (PET) scanner for acquiring a PET image and a system for generating the PET image. The disclosure describes a device that may have one or more moveable portions. The device may comprise an upper portion and a lower portion. The upper portion and lower portion define a cavity for a patient. At least one of the upper portion or the lower potion may be movable. The upper and lower portions may comprise a cap and wings, respectively, At least one of the caps and/or wings may comprise one or more detection modules. The wings may also move with respect to a corresponding cap.

Methods, systems, and programming for identifying a person are presented. In one example, a first set of candidates is determined based on a fingerprint image acquired from a finger of the person. A second set of candidates is determined based on a finger vein image acquired from the finger. The person is recognized based on the first and/or second set of candidates.

Methods, systems, and programming for identifying a person are presented. In one example, a first set of candidates is determined based on a fingerprint image acquired from a finger of the person. A second set of candidates is determined based on a finger vein image acquired from the finger. The person is recognized based on the first and/or second set of candidates.

The present disclosure provides a method for performing identity recognition on a to-be-recognized object, an electronic device, and a non-transitory computer-readable storage medium. The method includes: acquiring, by the infrared camera, and in response to an infrared camera turn-on condition being met, a first image of a to-be-recognized target, and performing target detection on the first image, the to-be-recognized target being a finger and/or a palm; acquiring, by the visible light camera, and in response to a visible light camera turn-on condition being met, a second image of the to-be-recognized target, and performing identifier code recognition on the second image; performing, in response to the to-be-recognized target being detected from the first image, identity recognition based on a third image, and determining an identity recognition result of the to-be-recognized object, the third image being at least one image among the first image in which the to-be-recognized target is detected.

The present invention relates to a multi-band image generation system and method using a deep-learning network, and to a technology of generating a multi-band image based on an image of a panchromatic band by analyzing a nonlinear relationship between the panchromatic band and each multi-band using a deep-learning network.

Image data are input to a machine learning program. The machine learning program is trained with a virtual boundary model based on a distance between a host vehicle and a target object and a loss function based on a real-world physical model. An identification of a threat object is output from the machine learning program. A subsystem of the host vehicle is actuated based on the identification of the threat object.

A method performed by an image capture device. The method includes determining whether to send a notification or determining whether to open a door based at least in part on at least one image captured by the image capture device.

An identification device according to the present invention includes at least one memory and at least one processor which function as: an image acquisition unit configured to acquire an image obtained by capturing an eyeball of a user; an information acquisition unit configured to acquire three-dimensional information of the eyeball, based on the image; and an identification unit configured to identify the user, based on the three-dimensional information.

A method for true-to-sample measurement by a mobile ingredient analysis system having a housing with a window, an interface for an external reference unit, a display and operating unit, a light source, an optical spectrometer, a camera, an internal reference unit, and an electronic control unit. The method includes: selecting a calibration product suitable for a sample to be examined; performing a plausibility check of the calibration product, an incorrect selection being signaled and an alternative calibration product being selected; outputting measurement conditions comprising the measurement point to be selected and measurement duration for the selected calibration product; capturing measured values of the sample by the spectrometer under the measurement conditions and with simultaneous monitoring of the measurement conditions; processing the captured measured values by means of an electronic control unit, each measured value captured while the measurement conditions were met being declared valid; outputting the measured values deemed valid.