Abstract: A multi-System on Chip (SoC) hand-tracking platform is provided. The multi-SoC hand-tracking platform includes a computer vision SoC and one or more application SoCs. The computer vision SoC hosts a hand-tracking input pipeline. The one or more application SoCs host one or more applications that are consumers of input event data generated by the hand-tracking input pipeline. The applications communicate with some components of the hand-tracking input pipeline using a shared-memory buffer and with some of the components of the hand-tracking input pipeline using Inter-Process Communication (IPC) method calls.

Abstract: Eyewear including a frame having a first side and a second side, a first temple extending from the first side of the frame, a second temple extending from the second side of the frame, electronic components, a first system on a chip (SoC) adjacent the first side of the frame coupled to a first set of the electronic components, and a second system on a chip adjacent the second side, the second SoC coupled to the first SoC and to a second set of the plurality of electronic components. Processing workloads are balanced between the first SoC and the second SoC by performing a first set of operations with the first SoC and performing a second set of operations with the second SoC.

Abstract: A system for hand tracking for an Augmented Reality (AR) system. The AR system uses a camera of the AR system to capture tracking video frame data of a hand of a user of the AR system. The AR system generates a skeletal model based on the tracking video frame data and determines a location of the hand of the user based on the skeletal model. The AR system causes a steerable camera of the AR system to focus on the hand of the user.

Abstract: A gesture-based wake process for an AR system is described herein. The AR system places a hand-tracking input pipeline of the AR system in a suspended mode. A camera component of the hand-tracking input pipeline detects a possible visual wake command being made by a user of the AR system. On the basis of detecting the possible visual wake command, the AR system wakes the hand-tracking input pipeline and places the camera component in a fully operational mode. If the AR system, using the hand-tracking input pipeline, verifies the possible visual wake command as an actual wake command, the AR system initiates execution of an AR application.

Abstract: A hand-tracking input pipeline dimming system for an AR system is provided. The AR system deactivates the hand-tracking input pipeline and places a camera component of the hand-tracking input pipeline in a limited operational mode. The AR system uses the camera component to detect initiation of a gesture by a user of the AR system and in response to detecting the initiation of the gesture, the AR system activates the hand-tracking input pipeline and places the camera component in a fully operational mode.

Abstract: An AR system includes multiple input-modalities. A hand-tracking pipeline supports Direct Manipulation of Virtual Object (DMVO) and gesture input methodologies. In addition, a voice processing pipeline provides for speech inputs. Direct memory buffer access to preliminary hand-tracking data, such as skeletal models, allows for low latency communication of the data for use by DMVO-based user interfaces. A system framework component routes higher level hand-tracking data, such as gesture identification and symbols generated based on hand positions, via a Snips protocol to gesture-based user interfaces.

Abstract: A gesture-based wake process for an AR system is described herein. The AR system places a hand-tracking input pipeline of the AR system in a suspended mode. A camera component of the hand-tracking input pipeline detects a possible visual wake command being made by a user of the AR system. On the basis of detecting the possible visual wake command, the AR system wakes the hand-tracking input pipeline and places the camera component in a fully operational mode. If the AR system, using the hand-tracking input pipeline, verifies the possible visual wake command as an actual wake command, the AR system initiates execution of an AR application.

Abstract: A system for hand tracking for an Augmented Reality (AR) system. The AR system uses a camera of the AR system to capture tracking video frame data of a hand of a user of the AR system. The AR system generates a skeletal model based on the tracking video frame data and determines a location of the hand of the user based on the skeletal model. The AR system causes a steerable camera of the AR system to focus on the hand of the user.

Abstract: Operating systems and electronic devices such as eyewear devices that incorporate operating systems. The operating system includes containerized virtual machines where each virtual machine includes an operating system and provides a service. This approach provides flexibility in utilizing computing resources, facilities development and compatibility, and enables improved thermal balancing in devices such as eyewear with limited thermal capacity envelopes.

Abstract: Disclosed is a method of conducting an ophthalmic evaluation using an augmented reality or virtual reality head-worn device including one or more display devices and one or more cameras facing towards an eye of the user in use. The method comprises displaying an ophthalmic evaluation user interface item on a display device, receiving user selection of the user interface item, illuminating an eye of the user, capturing at least one image of the eye of the user; and analyzing the at least one image to assess the health of the eye of the user.

Abstract: Systems, methods, and non-transitory computer-readable media can acquire an image. At least one image processing technique can be applied to the image. One or more first portions of the image that depict one or more objects can be identified based on the at least one image processing technique. A progressive image including a plurality of scans that prioritizes the one or more first portions of the image over one or more second portions of the image can be generated for the image.

Abstract: Systems, methods, and non-transitory computer-readable media can acquire an image. At least one image processing technique can be applied to the image. One or more first portions of the image that depict one or more objects can be identified based on the at least one image processing technique. A progressive image including a plurality of scans that prioritizes the one or more first portions of the image over one or more second portions of the image can be generated for the image.