Virtual Device Rendering Error Resolution for Metaverse Apps
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Solution Overview
Problem
Existing methods for testing software applications in metaverse environments across multiple devices are labor-intensive, time-consuming, and prone to human errors, lacking an intelligent system to detect and resolve rendering errors without human intervention.
Innovation Solution
A system and method that uses a rendering manager to test software applications on simulated user devices, comparing rendered views with expected patterns to detect and resolve errors, employing machine learning for efficient error detection and applying known solutions to the software application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual inspection is used to detect rendering errors on multiple user devices, then errors can be identified, but the testing process becomes labor intensive and time consuming
Solution Approach 1:
The patent creates virtual copies of user devices (virtual smartphones, virtual tablets, virtual AR/VR devices) that simulate the rendering behavior of physical devices. These virtual devices replicate the visual output and rendering characteristics of actual user devices, allowing automated comparison of rendered views against expected patterns without requiring physical device testing for each device type.
Solution Approach 2:
The patent replaces manual visual inspection (mechanical human observation) with automated image processing and pattern recognition systems. The system automatically captures rendered views, processes them through algorithms, compares them against expected patterns, and identifies rendering errors without human intervention, thereby eliminating the time-consuming nature of manual testing.
2Reliability
If visual inspection is used to detect rendering errors, then errors can be identified, but the process is prone to human errors
Solution Approach 1:
The patent replaces manual visual inspection with automated computational systems that use image processing algorithms to detect rendering errors. The system automatically compares rendered views against expected patterns, eliminating human subjectivity and fatigue-related errors while maintaining high detection accuracy through consistent algorithmic evaluation.
Solution Approach 2:
The patent implements an automated feedback loop where the system continuously monitors rendered views, compares them against expected patterns, identifies deviations indicating rendering errors, and reports these errors systematically. This closed-loop feedback mechanism ensures consistent and reliable error detection without human intervention.
3Adaptability or versatility
If software application is tested on each compatible user device, then rendering compatibility can be verified, but the testing process becomes labor intensive
Solution Approach 1:
The patent creates a universal testing platform that can simulate multiple types of user devices (smartphones, tablets, AR/VR devices) within a single system. The virtual device framework provides multi-functionality by replicating the rendering characteristics of various device types, allowing one testing system to verify compatibility across all target devices without requiring separate testing processes for each device category.
Solution Approach 2:
The patent uses virtual copies of user devices that replicate the rendering behavior of physical devices. These virtual devices serve as surrogates for actual user devices, allowing the testing system to verify rendering compatibility across multiple device types through automated simulation rather than manual testing on each physical device.
4Reliability
If manual testing is performed across multiple user devices, then rendering errors can be detected, but processing resources are wasted when errors occur on real devices
Solution Approach 1:
The patent performs rendering error detection in advance by testing the software application on virtual user devices before actual deployment to physical devices. The system proactively identifies rendering errors during the virtual testing phase, allowing developers to fix issues before they consume processing resources on real user devices, thereby preventing wasted energy and computational resources.
Solution Approach 2:
The patent uses virtual copies of user devices to perform preliminary testing that identifies rendering errors before deployment to actual devices. By detecting and resolving errors in the virtual environment first, the system prevents unnecessary processing resource consumption on real devices that would otherwise be wasted attempting to render problematic content.
Data Source
AI summary
A system includes a memory and a processor coupled to the memory. The processor runs a software application on a simulated user device to render a virtual environment on the simulated user device. In response to detecting an error associated with generation of the virtual environment by the software application, the processor searches a list of solutions based on the detected error, wherein each solution in the list corresponds to a known error associated with generation of the virtual environment on the real-world user device. The processor obtains a solution corresponding to the detected error from the list, wherein the solution comprises a revised source code or instructions to revise a source code of the software application to resolve the respective error. The processor determines and revises a portion of the source code of the software application relating to the error based on the revised source code in the solution.