Meta Platforms had 81 patents in internet of things during Q2 2024. Meta Platforms Inc filed patents related to artificial-reality systems, reducing and controlling values of biopotential-signal sensors, measuring signals evoked by visual stimuli using electrodes, providing contextual collaborating for conferencing, and detecting sound via a wearable device. These patents involve innovative methods and devices for enhancing user experiences and interactions in various technological applications. 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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Meta Platforms had no grants in internet of things as a theme in Q2 2024.
Recent Patents
Application: Headsets having improved camera arrangements and depth sensors, and methods of use thereof (Patent ID: US20240214696A1)
The patent filed by Meta Platforms Inc. describes methods and devices for artificial-reality systems, specifically focusing on a head-wearable device with depth-tracking components and multiple camera components. The device includes a combination of monochrome and color cameras, with the monochrome camera having a higher refresh rate and the color camera having a higher resolution. These cameras are co-located behind a cover window, which is transparent across visible and infrared wavelengths, allowing for various functionalities such as color passthrough mode and depth sensing.
Additionally, the head-wearable device includes peripheral camera components for hand and controller tracking, as well as a structured light generator for depth tracking. The device is designed to colorize images from the monochrome camera using information from the color camera, enhancing the overall visual experience. The patent also details the positioning and configuration of the cameras within the device, highlighting the use of illumination sources for position tracking purposes in conjunction with the camera components.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
