Intel had 24 patents in metaverse during Q2 2024. Intel Corp’s Q2 2024 patents focus on innovative technologies such as content aware foveated ASW for low latency rendering, real-time monocular gaze position determination, texture similarity determination for augmented reality headsets, and blockchain-based firmware management for client devices. These patents showcase Intel’s commitment to advancing graphics processing, human-computer interactions, and augmented reality technologies. GlobalData’s report on Intel gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Intel had no grants in metaverse as a theme in Q2 2024.
Recent Patents
Application: Time of flight distance determinations (Patent ID: US20240210536A1)
The patent filed by Intel Corp describes a device that includes a sensor to detect electromagnetic radiation reflected from an object and a processor to determine the distance between the device and the object based on the detected radiation. The processor can also determine the distance based on the position of the radiation source and perform synchronization operations for accurate distance calculations.
Additionally, the device can determine the angle of arrival of the detected radiation and adjust its operational mode based on the relative distances between the device, the object, and the radiation source. The patent also covers methods and computer-readable mediums for implementing the distance determination process using the device. Overall, the patent focuses on a system that utilizes electromagnetic radiation detection to accurately measure distances in various applications such as LIDAR devices, virtual reality headsets, and augmented reality headsets.
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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.
