Intel had 29 patents in metaverse during Q1 2024. Intel Corp’s Q1 2024 patents focus on improving AR/VR operations by encrypting user data, prioritizing heavy processing workloads for sensitive objects, casting rays into volumetric data structures, chiplet state aware voltage regulator event handling, and varying render rates on display screens based on user focus to optimize power consumption and performance. GlobalData’s report on Intel gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Intel grant share with metaverse as a theme is 31% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Privacy-preserving augmented and virtual reality using homomorphic encryption (Patent ID: US20240106803A1)

The patent filed by Intel Corp. describes an improved AR/VR operation method that involves receiving encrypted AR/VR user data and cleartext metadata from a client computing device, obtaining server data based on the metadata, encoding the server data, performing an AR/VR process on the encrypted user data and encoded server data to generate encrypted results, and sending these results back to the client device. The method utilizes homomorphic encryption processes to ensure secure data transmission and processing.

The patent also includes claims related to the encryption process, encoding of data, generation of metadata, and the overall AR/VR operation method. It outlines the steps involved in encrypting user data, receiving public and private keys for encryption, and decrypting the results using homomorphic encryption techniques. The system described in the patent involves both client and server computing devices working together to ensure secure transmission, processing, and decryption of AR/VR data, ultimately leading to the generation of cleartext results for the user.

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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.