Meta Platforms. has been granted a patent for an artificial reality system that features hierarchical power management across multiple devices. The system includes a host subsystem and several non-host subsystems, each with energy processing units to efficiently manage power states and initiate boot sequences. GlobalData’s report on Meta Platforms gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Meta Platforms, Personalized content delivery was a key innovation area identified from patents. Meta Platforms's grant share as of July 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
Hierarchical power management for multi-device ar systems
The patent US12072752B2 describes an artificial reality system that includes a device capable of generating or displaying artificial reality content. This system comprises a host subsystem and multiple non-host subsystems, each equipped with a local processor and a child energy processing unit (EPU). The host subsystem is responsible for managing the power states of the non-host subsystems. It determines when a non-host subsystem should be powered up based on the status of its corresponding power domain. Upon this determination, the host subsystem generates a reset vector and sends it to the non-host subsystem, prompting its local processor to initiate a cold boot sequence.
Further claims detail the operational intricacies of the system, including the use of control and status registers, the management of multiple power domains within each non-host subsystem, and the interaction between the child EPU and a top-level clock from the host subsystem. The child EPU can request a default clock, and upon receiving a clock acknowledgment, it can activate additional power domains. The host subsystem also monitors the power status of the local processor to ensure proper functioning. The patent outlines a method for powering up non-host subsystems and initiating their operational sequences, emphasizing the system's structured approach to managing energy and processing resources in artificial reality applications.
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