Virtual Object Assembly Detection via Segmented Interface Controls
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Solution Overview
Problem
Current methods for detecting the assembly of virtual objects in virtual scenes are complex and inefficient, requiring significant user participation and resource utilization, leading to low detection efficiency and poor user experience.
Innovation Solution
A data processing method and apparatus that implements one-tap detection on virtual object assemblies, displaying configuration detection categories, detecting items sequentially, and synchronously displaying progress and results, improving detection efficiency and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional detection procedure is used for virtual object assembly, then detection can be performed, but detection efficiency is low and requires large quantity of users to participate
Solution Approach 1:
The patent segments the virtual object assembly detection into multiple detection categories (e.g., appearance, behavior, performance) with specific detection items in each category. This segmentation allows the system to systematically check different aspects of the virtual object assembly independently, improving detection efficiency while maintaining comprehensive coverage of all necessary detection aspects.
Solution Approach 2:
The patent implements automated detection mechanisms where the system itself performs the detection tasks without requiring large quantities of users to participate. The detection system automatically compares virtual object assembly configurations against predefined standards and criteria, enabling self-service detection that significantly improves productivity while reducing operational complexity.
2Productivity
If traditional detection procedure is used for virtual object assembly, then detection can be performed, but hardware resource utilization is low
Solution Approach 1:
The patent implements preliminary action by pre-configuring detection categories, detection items, and evaluation criteria before the actual detection process. The system prepares detection templates and standards in advance, which allows for more efficient execution during runtime and better utilization of hardware resources, reducing energy loss while maintaining high detection efficiency.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting detection parameters and resource allocation based on the specific detection needs. The system can modify detection depth, category focus, and resource allocation in real-time, optimizing hardware resource utilization and reducing energy consumption while maintaining high productivity in the detection process.
Data Source
AI summary
In a data processing method, a detection control corresponding to configuration of a virtual object is displayed in a configuration detection interface of a virtual scene. The configuration of the virtual object includes at least two detection categories, and each detection category includes at least one detection item. The configuration of the virtual object in the detection categories is detected when a detection instruction is triggered based on the detection control. Progress indication information of the configuration of the virtual object is displayed. The progress indication information is configured to indicate progress of detecting the configuration of the virtual object in each detection category. A detection result of each detection item of the virtual object is displayed.