Abstract: A method for detecting an occlusion of an image sensor includes obtaining, via the image sensor, a plurality of images of a physical environment of the electronic device while the electronic device is moving. The method includes detecting an occlusion of the image sensor based on a repeated occurrence of a static feature across the plurality of images. The method includes modifying a weight associated with the static feature to decrease an impact of the occlusion on a performance of a function.

Abstract: The embodiments of the present disclosure provide a method for vascular analysis. The method may include determining a peak phase in a plurality of phases based on perfusion scanning data of the plurality of phases; obtaining a reconstruction result of the peak phase by performing, based on the perfusion scanning data of the peak phase, image reconstruction; and performing vascular analysis based on the reconstruction result of peak phase.

Abstract: The present disclosure is related to systems and methods for controlling a patient bed of a medical device. A method includes determining whether a first gesture on the touch panel satisfies a first trigger condition; in response to determining that the first gesture satisfies the first trigger condition, generating, instructions for causing at least one icon to be displayed on the touch panel, the at least one icon being configured to control the movement of the patient bed; and determining at least one movement parameter of the patient bed based at least on a second gesture directed to the at least one icon.

Abstract: The invention discloses a self-moving robot, comprising a light emitter, emitting light in a specific wavelength range to the ground; an image capturing device, matched with the light emitter to receive the light in a specific wavelength range to form an image based on the light in a specific wavelength range; and the controller comprises a ground type recognizing module, which extracts features in the image to recognize the ground type in the image. By disposing the light emitter and the image capturing device which are matched to emit and receive the light in a specific wavelength range, an influence of the ambient light on the image is reduced, such that the self-moving robot can accurately recognize the ground type at every moment and in every location, even at night when there is no light source.

Abstract: The invention discloses a self-moving robot, comprising a light emitter, emitting light in a specific wavelength range to the ground; an image capturing device, matched with the light emitter to receive the light in a specific wavelength range to form an image based on the light in a specific wavelength range; and the controller comprises a ground type recognizing module, which extracts features in the image to recognize the ground type in the image. By disposing the light emitter and the image capturing device which are matched to emit and receive the light in a specific wavelength range, an influence of the ambient light on the image is reduced, such that the self-moving robot can accurately recognize the ground type at every moment and in every location, even at night when there is no light source.