Metaverse Video Clip Transition Checking on Simulated Devices
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Solution Overview
Problem
Existing methods for testing software applications in metaverse environments are labor-intensive, time-consuming, and prone to human errors due to manual inspection across multiple user devices, with no intelligent system for error detection and resolution.
Innovation Solution
A system and method using a rendering manager that runs the application on simulated user devices to detect and resolve errors by comparing rendered views with expected patterns, applying known solutions to correct errors, and optimizing source code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used to detect rendering errors across multiple user devices, then human operators can identify visual defects, 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 wearables) that simulate the rendering behavior of physical devices. These virtual devices can be instantiated quickly and tested automatically without manual intervention, eliminating the time-consuming aspect of testing across multiple device types while maintaining detection accuracy through automated visual element comparison
Solution Approach 2:
The patent replaces the mechanical human inspection process with an automated computer-based system that uses image processing and pattern recognition algorithms. The system automatically captures rendered views, extracts visual elements, and compares them against expected patterns, substituting human operators with automated computational processes that are both faster and more consistent
2Reliability
If manual testing is performed on each compatible user device, then rendering errors can be identified, but the process is prone to human errors
Solution Approach 1:
By using virtual devices that replicate the rendering behavior of physical devices, the system eliminates variability introduced by different human operators. The virtual devices provide consistent, repeatable testing environments that can be configured to match specific device characteristics, improving reliability without requiring physical access to multiple complex devices
Solution Approach 2:
The system creates a universal testing platform that can simulate multiple user device types through virtual instances. This multi-functional approach allows a single testing system to evaluate rendering across smartphones, tablets, wearables, and other devices, reducing the need for separate testing setups for each device type while maintaining comprehensive coverage
3Manufacturing precision
If extensive testing is conducted across multiple user devices to ensure proper rendering, then rendering quality can be verified, but processing resources are consumed
Solution Approach 1:
The patent uses virtual devices that simulate rendering without requiring actual physical devices. These virtual instances can be created and destroyed as needed, allowing comprehensive testing of rendering quality across multiple device types without the sustained resource consumption of maintaining physical test devices. The virtual environment can be optimized to use fewer resources than actual hardware while preserving testing accuracy
Solution Approach 2:
The system performs preliminary rendering tests in a virtual environment before deployment to actual devices. By detecting and resolving rendering errors in advance using virtual devices, the system prevents errors from reaching production, thereby reducing the need for extensive post-deployment testing and resource-intensive debugging on actual user devices
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 that the software application has rendered a video clip in the virtual environment, the processor converts the video clip into metadata. The processor compares a first metadata associated with a first frame of the video clip with a second metadata associated with at least one second frame of the video clip before or after the first frame. In response to determining that the first frame and the second frame do not conform to a pre-configured transition, the processor determines that an error has occurred in relation to rendering the video clip. The processor obtains a solution corresponding to the error and applies the solution to the software application to resolve the detected error.