Apple had 205 patents in artificial intelligence during Q2 2024. Apple Inc filed patents in Q2 2024 for methods of user authentication using a multi-representation eye model, presenting virtual content based on detecting reflections, utilizing intention-based user interface control, and creating machine learning models with templates for various data types. These patents focus on enhancing user experience and security on electronic devices through innovative technologies. GlobalData’s report on Apple gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Apple had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Biometric multi-representation eye authentication (Patent ID: US20240211569A1)

The patent filed by Apple Inc. describes methods for user authentication using a multi-representation eye model, particularly for head-mounted display devices. The process involves capturing an image of the current eye, transforming it into a feature representation, and comparing it to the multi-representation eye model to determine if it matches the identified eye. The model is based on feature representations of images captured under different conditions, allowing for accurate authentication based on various factors like lighting, pose, and accommodation distance.

The device described in the patent includes a camera to capture eye images and a controller to initiate the authentication process, compare features, and provide feedback on the match. The controller can generate or update the multi-representation eye model based on captured images, enabling continuous improvement and adaptation to different conditions. Additionally, the device can create specific conditions for capturing images, such as changing brightness or depth appearance, to enhance the accuracy of the authentication process. Overall, the patent outlines a sophisticated system for user authentication based on a detailed analysis of eye features and conditions.

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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.