Augmented Reality Subject-Object Detection for Timely Information Display
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Solution Overview
Problem
Existing augmented reality systems lack an accurate and efficient method to synchronously display associated information with captured images, leading to delays and inaccuracies in human-computer interaction.
Innovation Solution
A data processing method that identifies a subject object, either the only object or the largest object in a captured image, and displays associated information directly on the human-computer interaction interface, using artificial intelligence and neural networks for object identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection method is used to identify objects in captured images, then user control flexibility is maintained, but information display accuracy and timeliness deteriorate due to delays and manual intervention requirements
Solution Approach 1:
The system performs automatic object identification and information display without requiring manual user intervention. The electronic device autonomously captures images, identifies subject objects using AI algorithms, and displays associated information automatically, making the system self-sufficient and eliminating delays caused by manual selection operations
Solution Approach 2:
The system pre-processes captured images by automatically identifying subject objects and preparing associated information for display before user interaction is even initiated. This preliminary automatic processing ensures that information is ready for immediate display, eliminating any potential delays that would occur with manual selection methods
2Loss of information
If all objects in captured images are displayed with associated information, then comprehensive information coverage is achieved, but system complexity and resource consumption increase
Solution Approach 1:
The system extracts and displays information only for the subject object (the most important object) from among multiple objects in the captured image. By selectively extracting information for only the identified subject object rather than all objects, the system maintains comprehensive coverage of relevant information while significantly reducing system complexity and resource consumption compared to displaying information for every detected object
Solution Approach 2:
The system applies different treatment to different objects in the image: the subject object receives full information display treatment while other objects are excluded from information display. This local differentiation ensures that comprehensive information is provided where needed (for the subject) while avoiding unnecessary complexity for non-subject objects
3Productivity
If automatic subject object identification is implemented, then information display timeliness is improved, but algorithm complexity and computational resources increase
Solution Approach 1:
The system replaces manual mechanical selection operations with automated AI-based object identification algorithms. This substitution dramatically improves information display efficiency and timeliness by eliminating manual intervention, while the use of established AI/ML algorithms keeps the computational complexity manageable compared to the alternative of implementing complex manual interaction handling
Data Source
AI summary
A data processing method based on augmented reality is provided. The method includes: displaying a captured image of a scene in a human-computer interaction interface, the captured image comprising at least one object; identifying a subject object from the at least one object, the subject object being an only object or an object with a largest size in the captured image; and displaying at least one piece of information associated with the subject object in the human-computer interaction interface.