An authentication device includes: a wearing position determination unit that determines a wearing position, the wearing position being a position at which a wearable article comprising a sensor is being worn on a body; and an authentication unit that performs authentication by using biometric information of the body, the biometric information being detected by the sensor at the wearing position.

Methods and systems for processing voice commands are disclosed. A voice controlled device may receive audio data comprising a voice command. Location information indicative of the source of the audio data may be determined. One or more devices may be caused to determine signals based on the location information. The one or more devices may receive thermal data in response to the signals. The thermal data may be analyzed to determine if the thermal data indicates the presence of a person at the expected location. If a person is detected, then the audio data may processed to cause the voice command to be executed.

A driving device and an operation method thereof are provided. The driving device includes a first driving circuit and a second driving circuit. The first driving circuit performs a display driving operation to a display panel. The second driving circuit performs a fingerprint sensing operation (including a sensor reset operation and an image capture operation) to the display panel according to a timing control signal of the first driving circuit. The fingerprint sensing operation is operated with a same frame polarity configuration rule. The operation of “the same frame polarity configuration rule” comprises fixing a relation between a first polarity configuration (which is the frame polarity configuration of the display panel when performing the sensor reset operation on a same fingerprint frame) and a second polarity configuration (which is the frame polarity configuration of the display panel when performing the image capture operation on the same fingerprint frame) whenever the fingerprint sensing operation is performed.

A driving device and an operation method thereof are provided. The driving device includes a first driving circuit and a second driving circuit. The first driving circuit performs a display driving operation to a display panel. The second driving circuit performs a fingerprint sensing operation (including a sensor reset operation and an image capture operation) to the display panel according to a timing control signal of the first driving circuit. The fingerprint sensing operation is operated with a same frame polarity configuration rule. The operation of “the same frame polarity configuration rule” comprises fixing a relation between a first polarity configuration (which is the frame polarity configuration of the display panel when performing the sensor reset operation on a same fingerprint frame) and a second polarity configuration (which is the frame polarity configuration of the display panel when performing the image capture operation on the same fingerprint frame) whenever the fingerprint sensing operation is performed.

The disclosed system may include a first layer that includes multiple digital pixel sensors configured to detect light. The system may also include a second layer that includes various image processing components configured to process the light detected by the digital pixel sensors. Still further, the system may include a third layer that includes machine learning (ML) hardware processing components. The image processing components of the second layer may be communicatively connected to the ML hardware processing components of the third layer via multiple micro through-silicon vias (uTSVs). Various other methods of manufacturing, apparatuses, and computer-readable media are also disclosed.

The disclosed system may include a first layer that includes multiple digital pixel sensors configured to detect light. The system may also include a second layer that includes various image processing components configured to process the light detected by the digital pixel sensors. Still further, the system may include a third layer that includes machine learning (ML) hardware processing components. The image processing components of the second layer may be communicatively connected to the ML hardware processing components of the third layer via multiple micro through-silicon vias (uTSVs). Various other methods of manufacturing, apparatuses, and computer-readable media are also disclosed.

Coherent light (e.g., laser light) is emitted into a cranium through an optical fiber. A tissue sample (e.g., red blood cells, blood vessels, brain tissue) within the cranium diffuses the coherent light. Different tissue sample motion quantities generate different coherent light interference patterns. An image of a coherent light interference pattern is captured with an image sensor coupled to an optical element. The speckle contrast of the image quantifies coherent light interference pattern. A waveform of sequentially captured speckle contrast values over time has characteristics that reflect intracranial blood flow health. If waveform characteristics indicate poor or questionable intracranial blood flow heath, a notification message is displayed, played, or otherwise transmitted.

In at least one embodiment, a computer-program product embodied in a non-transitory computer readable medium that is programmed to detect a performance threshold for one or more cameras is provided. The computer-program product includes instructions to capture a plurality of images from one or more cameras to compare an object within each captured image to a predetermined object to determine whether the object has been correctly identified and instructions to extract the object from each captured image. The computer-program product includes instructions to apply at least one gradient to each extracted object to generate a plurality of gradient images. The computer-program product includes instructions to compare the extracted object to the predetermined object and to determine whether the extracted object that is modified by the at least one gradient has been correctly identified. The computer-program product includes instructions to establish a performance threshold for the one or more cameras.

A display device includes a display panel. A fingerprint sensor package at least partially overlaps the display panel. A printed circuit board (PCB) at least partially overlaps the display panel and includes a touch sensor integrated circuit (IC). The fingerprint sensor package includes a first base having a plurality of conductive patterns, an image sensor disposed on a first surface of the first base, and a first conductive layer disposed on a second surface of the first base, at least partially overlapping with the image sensor, and electrically connected to the plurality of conductive patterns of the first base via a via electrode.

A method for processing an image and an electronic device therefor are provided. The electronic device includes an image sensor, a memory, and a processor. The processor is configured to obtain a raw image using the image sensor, identify recognition information about a plurality of sub-regions corresponding to a plurality of objects included in the raw image, based on image recognition using the raw image, generate a first image by performing a first calibration process on the raw image using a first parameter set associated with first recognition information corresponding to a first sub-region among the plurality of sub-regions, generate a second image by performing a second calibration process on the raw image using a second parameter set associated with second recognition information corresponding to a second sub-region among the plurality of sub-regions, and generate a third image by using a region of the first image corresponding to the first sub-region and a region of the second image corresponding to the second sub-region.