Abstract:
Embodiments described herein may relate to an unmanned aerial vehicle (UAV) navigating to a target in order to provide medical support. An illustrative method involves a UAV (a) determining an approximate target location associated with a target, (b) using a first navigation process to navigate the UAV to the approximate target location, where the first navigation process generates flight-control signals based on the approximate target location, (c) making a determination that the UAV is located at the approximate target location, and (d) in response to the determination that the UAV is located at the approximate target location, using a second navigation process to navigate the UAV to the target, wherein the second navigation process generates flight-control signals based on real-time localization of the target.
Abstract:
A method and apparatus for gesture interaction with an image displayed on a painted wall is described. The method may include capturing image data of the image displayed on the painted wall and a user motion performed relative to the image. The method may also include analyzing the captured image data to determine a sequence of one or more physical movements of the user relative to the image displayed on the painted wall. The method may also include determining, based on the analysis, that the user motion is indicative of a gesture associated with the image displayed on the painted wall, and controlling a connected system in response to the gesture.
Abstract:
Embodiments described herein may help to provide support via a fleet of unmanned aerial vehicles (UAVs). An illustrative medical-support system may include multiple UAVs, which are configured to provide support for a number of different situations. Further, the medical-support system may be configured to: (a) identify a remote situation, (b) determine a target location corresponding to the situation, (c) select a UAV from the fleet of UAVs, where the selection of the UAV is based on a determination that the selected UAV is configured for the identified situation, and (d) cause the selected UAV to travel to the target location to provide support.
Abstract:
Embodiments described herein may help to provide medical support via a fleet of unmanned aerial vehicles (UAVs). An illustrative UAV may include a housing, a payload, a line-deployment mechanism coupled to the housing and a line, and a payload-release mechanism that couples the line to the payload, wherein the payload-release mechanism is configured to release the payload from the line. The UAV may further include a control system configured to determine that the UAV is located at or near a delivery location and responsively: operate the line-deployment mechanism according to a variable deployment-rate profile to lower the payload to or near to the ground, determine that the payload is touching or is within a threshold distance from the ground, and responsively operate the payload-release mechanism to release the payload from the line.
Abstract:
A method and apparatus for enabling themes using photo-active surface paint is described. The method may include capturing image data with at least a camera of a painted surface display system. The method may also include analyzing the image data to determine a real-world context proximate to a painted surface, wherein the surface is painted with a photo-active paint. The method may also include selecting a theme based on the determined real-world context. The method may also include generating a theme image, and driving a spatial electromagnetic modulator to emit electromagnetic stimulation in the form of the theme image to cause the photo active paint to display the theme image.
Abstract:
Embodiments described herein may relate to an unmanned aerial vehicle (UAV) navigating to a medical situation in order to provide medical support. An illustrative method involves a UAV (a) determining an approximate target location associated with a medical situation, (b) using a first navigation process to navigate the UAV to the approximate target location, where the first navigation process generates flight-control signals based on the approximate target location, (c) making a determination that the UAV is located at the approximate target location, and (d) in response to the determination that the UAV is located at the approximate target location, using a second navigation process to navigate the UAV to the medical situation, wherein the second navigation process generates flight-control signals based on real-time localization of the medical situation.
Abstract:
Methods, apparatuses and systems for adaptive light projection are described herein. According to embodiments of the disclosure, optical data of a physical space around a user is received. Light from a light source is then projected onto a projection area that is determined based, at least in part, on the received optical data.User commands may include requests to locate and/or track objects within the physical space around the user. User commands may comprise a combination of the audible user command and a physical user gesture—e.g., a gesture identifying an object or a surface to receive the projected light.
Abstract:
Embodiments described herein may relate to an unmanned aerial vehicle (UAV) navigating to a target in order to provide medical support. An illustrative method involves a UAV (a) determining an approximate target location associated with a target, (b) using a first navigation process to navigate the UAV to the approximate target location, where the first navigation process generates flight-control signals based on the approximate target location, (c) making a determination that the UAV is located at the approximate target location, and (d) in response to the determination that the UAV is located at the approximate target location, using a second navigation process to navigate the UAV to the target, wherein the second navigation process generates flight-control signals based on real-time localization of the target.
Abstract:
Embodiments described herein may help to provide support via a fleet of unmanned aerial vehicles (UAVs). An illustrative medical-support system may include multiple UAVs, which are configured to provide support for a number of different situations. Further, the medical-support system may be configured to: (a) identify a remote situation, (b) determine a target location corresponding to the situation, (c) select a UAV from the fleet of UAVs, where the selection of the UAV is based on a determination that the selected UAV is configured for the identified situation, and (d) cause the selected UAV to travel to the target location to provide support.
Abstract:
Embodiments described herein may help to provide support via a fleet of unmanned aerial vehicles (UAVs). An illustrative medical-support system may include multiple UAVs, which are configured to provide support for a number of different situations. Further, the medical-support system may be configured to: (a) identify a remote situation, (b) determine a target location corresponding to the situation, (c) select a UAV from the fleet of UAVs, where the selection of the UAV is based on a determination that the selected UAV is configured for the identified situation, and (d) cause the selected UAV to travel to the target location to provide support.