Snap Inc. (20240346775). STATIONARY EXTENDED REALITY DEVICE simplified abstract
Contents
STATIONARY EXTENDED REALITY DEVICE
Organization Name
Inventor(s)
Adrian Bradford of Los Angeles CA (US)
Christopher Cavins of Santa Clarita CA (US)
James Vonk of Long Beach CA (US)
STATIONARY EXTENDED REALITY DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346775 titled 'STATIONARY EXTENDED REALITY DEVICE
The patent application describes a method and system for creating an extended reality (XR) experience using a stationary device that captures real-world objects in a specified field of view.
- The system uses a camera on the stationary device to capture an image of a real-world object and analyzes it using a machine learning model to predict tracking information for the object.
- The machine learning model is trained on a variety of training images depicting real-world objects in the specified field of view and their corresponding tracking information.
- Based on the predicted tracking information, the system selects an XR experience from a set of options and overlays XR elements on the image to create a modified XR experience.
Potential Applications: - Augmented reality gaming - Virtual tours of real-world locations - Interactive educational experiences
Problems Solved: - Enhancing user engagement with XR technology - Improving accuracy of object tracking in XR experiences
Benefits: - Immersive XR experiences - Personalized content based on real-world objects - Enhanced user interaction with XR technology
Commercial Applications: Title: "Innovative XR Experience Generation System for Enhanced User Engagement" This technology can be used in industries such as gaming, tourism, education, and marketing to create interactive and engaging XR experiences for users.
Prior Art: Researchers can explore existing patents related to machine learning in XR technology and object tracking systems to understand the background of this innovation.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for object tracking in XR technology to enhance the accuracy and efficiency of XR experiences.
Questions about XR: 1. How does this technology improve user interaction with XR experiences? This technology enhances user engagement by overlaying XR elements on real-world objects, creating immersive and interactive experiences. 2. What are the potential commercial applications of this XR experience generation system? This system can be utilized in various industries such as gaming, tourism, education, and marketing to create personalized and engaging XR content for users.
Original Abstract Submitted
methods and systems are disclosed for generating an extended reality (xr) experience using a statically positioned device. the system receives, from a camera of a stationary device, an image depicting a real-world object, the camera being directed in a stationary manner towards a specified field of view of a real-world environment. the system analyzes the image using a machine learning model to predict tracking information for the real-world object, the machine learning model trained based on a plurality of training images depicting real-world objects in the specified field of view of the real-world environment and corresponding ground-truth tracking information for the real-world objects. the system selects an extended reality (xr) experience from a plurality of xr experiences and overlays one or more xr elements associated with the xr experience on the image based on the predicted tracking information to generate a modified image.
