A system comprises an eyewear device that includes a frame, a temple connected to a lateral side of the frame, an infrared emitter, and an infrared camera. The infrared emitter and the infrared camera are connected to the frame or the temple to emit a pattern of infrared light. The system includes a processor coupled to the eyewear device, a memory accessible to the processor, and programming in the memory. Execution of the programming by the processor configures the system to perform functions, including functions to emit, via the infrared emitter, a pattern of infrared light on an eye of a user of the eyewear device; capture, via the camera, reflection variations in the pattern of infrared light on the eye of the user; and identify a user of the eyewear device based on the reflection variations of the emitted pattern of infrared light on the eye of the user.

An information handling system camera is secured against unauthorized image captures by a shutter that mechanically closes across the camera lens to block visible light from entering the camera. The shutter integrates an infrared bypass filter that passes through infrared light while blocking visible light so that the camera can support facial recognition when the mechanical shutter secures the camera to prevent unauthorized capture of visual images.

A method for protection of inflight aircraft during approaching-to-landing and takeoff/climbout phases of flight against handheld laser attacks includes two different drone types: a skeining drone and a swarming drone. One or more skeining drones are deployed close to the aircraft and/or one or more swarming drones are deployed further from the aircraft and closer to the beam source. Prior to the aircraft's traversal of a determinable approach point, a plurality of swarming drones are pre-deployed in loitering mode or else launched, and are subsequently directed toward the reckoned source of a trained beam while skeining drones are pre-deployed in a patrol mode or else launched, and fly closer to the aircraft. The skein classically shields the cockpit by flying a controlled interference pattern roughly parallel to the aircraft flightpath while the swarm saturates one or more determined and dynamically redetermined regions athwart the beam source location.

A display assembly and an electronic device are provided. The display assembly includes an optical sensor and a screen assembly which are stacked. The screen assembly is configured to emit a first optical signal toward one side away from the optical sensor. The optical sensor is configured to collect a fingerprint image of a target object according to a second optical signal obtained through reflection of the first optical signal. Components in the screen assembly, with light transmittance smaller than preset light transmittance, are at least partially stacked.

A method and system including: an aerial vehicle including: a first camera comprising a first sensor having at least red, green, and blue color channels, where the blue color channel is sensitive to near-infrared (NIR) wavelengths; a first optical filter disposed in front of the first sensor, wherein the first optical filter is configured to block wavelengths below green, between red and NIR, and longer wavelength NIR; a processor having addressable memory in communication with the first camera, where the processor is configured to: capture at least one image of vegetation from the first camera; provide red, green, and NIR color channels from the captured image from the first camera; and determine at least one vegetative index based on the provided red, green, and NIR color channels.

Technologies for natural language interactions with virtual personal assistant systems include a computing device configured to capture audio input, distort the audio input to produce a number of distorted audio variations, and perform speech recognition on the audio input and the distorted audio variants. The computing device selects a result from a large number of potential speech recognition results based on contextual information. The computing device may measure a user's engagement level by using an eye tracking sensor to determine whether the user is visually focused on an avatar rendered by the virtual personal assistant. The avatar may be rendered in a disengaged state, a ready state, or an engaged state based on the user engagement level. The avatar may be rendered as semitransparent in the disengaged state, and the transparency may be reduced in the ready state or the engaged state. Other embodiments are described and claimed.

The present invention is a method for overcoming the challenge of acquiring good quality animal nose pattern images for biometric recognition caused by the moisture present on the nose surface, by removing the moisture or by pairing moisture removal and the application of an astringent or pigment prior to image capture.

An imaging device includes: an imaging portion that captures an image of a portion of a living body to take in the image; a display portion that displays first and second display images with being superimposed on each other, the first display image being based on the taken-in image, the second display image including guidance regarding a way to place the portion of the living body in a prescribed position; a determination portion that determines whether the portion of the living body is placed in the prescribed position; and a control portion that, until it is determined that the portion of the living body is placed in the prescribed position, causes the imaging portion to newly capture and take in a new image of the portion of the living body and causes the display portion to display an image based on the new taken-in image.

An image processing apparatus according to the present disclosure includes: a position detection illumination unit; an image recognition illumination unit; an illumination control unit; an imaging unit; and an image processing unit. The position detection illumination unit outputs position detection illumination light. The position detection illumination light is used for position detection on a position detection object. The image recognition illumination unit outputs image recognition illumination light. The image recognition illumination light is used for image recognition on an image recognition object. The illumination control unit controls the position detection illumination unit and the image recognition illumination unit to cause the position detection illumination light and the image recognition illumination light to be outputted at timings different from each other. The position detection illumination light and the image recognition illumination light enter the imaging unit at timings different from each other. The image processing unit determines switching between the position detection illumination light and the image recognition illumination light on the basis of luminance information regarding a captured image by the imaging unit. The image processing unit performs position detection on the position detection object on the basis of an imaging result of the imaging unit with the position detection illumination light switched on and performs image recognition on the image recognition object on the basis of an imaging result of the imaging unit with the image recognition illumination light switched on.

The present disclosure relates to a method for identifying an obstacle on a driving ground and a robot for implementing the same, and according to one embodiment of the present disclosure, the method for identifying an obstacle on a driving ground comprises the steps of allowing: a sensing module of the robot to sense the depths of objects in a driving direction so as to generate first depth information; a plane analysis unit of the sensing module to calibrate second depth information by using ground information stored by a map storage of the robot so as to generate the first depth information; a control unit to identify an obstacle from the second depth information; and the control unit to store position information of the identified obstacle in a temporary map of the map storage.