Snap Inc.

Daniel Harris

Ashwani Arya

Tejas Arun Bahulkar

Daniel C Wiggins

Dunxu Hu

Jennica Pounds

Alex Feinman

Farid Zare Seisan

Daniel Colascione

Liviu Marius Coconu

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.

Multi-SoC hand-tracking platform

Eyewear providing a visual indicator to a hearing-impaired user indicating a direction of arrival of a sound relative to the eyewear to help the user obtain greater awareness of the surrounding environment. An eyewear optical assembly includes an image display displaying the visual indicator discernable by the user and corresponding to the direction of arrival of the sound, even when a sound source is not viewable through the optical assembly. The image display also displays an image indicative of the sound source. A front portion of an eyewear frame includes a light array, where one or more lights of the light array is illuminated to indicate the direction of arrival and intensity of the sound source. An array of vibrating devices may also be used to indicate the direction of arrival and intensity of the sound source.

Eyewear with direction of sound arrival detection

An electronic eyewear device includes a display and a speaker system adapted to present augment reality objects and associated sounds in a scene being viewed by the user. A processor receives one or more audio tracks respectively associated with one or more augmented reality objects, encodes the audio tracks into an aggregated audio track including the audio tracks, a header for each audio track that uniquely identifies each respective audio track, and an aggregate header that identifies the number of tracks in the aggregated audio track. The processor transfers the aggregated audio track to an audio processor that uses the header for each audio track and the aggregate header to separate the audio tracks from the aggregated audio track. The audio processor processes the audio tracks independently in parallel and provides the audio tracks to the speaker system for presentation with the augmented reality objects.

Low latency, low power multi-channel audio processing

A method for managing power resource in an augmented reality (AR) device is described. In one aspect, the method includes configuring a low-power mode to run on a low-power processor of the AR device using a first set of sensor data, and a high-power mode to run on a high-power processor of the AR device using a second set of sensor data, operating, using the low-power processor, a low-power application in the low-power mode based on the first set of sensor data, detecting a request to operate a high-power application at the AR device, in response to detecting the request, activating the second set of sensors of the AR device corresponding to the high-power mode, and operating, using the high-power processor, a high-power application in the high-power mode based on the second set of sensors.

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San Francisco, CA, United States of America

Daniel Harris