AR Device Keyword Detection and Virtual Object Display
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Solution Overview
Problem
Current augmented reality (AR) systems fail to fully utilize information from other devices to enhance the AR environment, particularly in supplementing or enhancing messages, pictures, and alarms displayed on secondary devices.
Innovation Solution
The implementation of techniques that detect key words from ancillary devices and acquire virtual objects based on these detected key words, allowing AR devices to communicate with other devices via wired or wireless protocols and display virtual objects in various formats based on environmental and device-specific factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AR systems integrate information from multiple devices and perform text recognition to generate virtual objects, then user engagement and environmental awareness are enhanced, but device complexity and processing requirements increase
Solution Approach 1:
The system divides the complex task of AR environment integration into separate functional modules: text recognition module, virtual object generation module, and format adaptation module. Each module handles a specific aspect of the integration process, reducing overall system complexity while maintaining versatility.
Solution Approach 2:
The AR device is designed to perform multiple functions: displaying AR environments, receiving messages from ancillary devices, performing text recognition, generating virtual objects, and adapting formats based on environment. This multi-functionality allows a single device to handle diverse integration requirements without requiring separate specialized systems.
2Ease of operation
If the AR device displays virtual objects in different formats based on environment characteristics, then user experience is optimized for different contexts, but processing complexity increases
Solution Approach 1:
The system applies different display formats (local qualities) to virtual objects based on the specific AR environment characteristics. Indoor environments receive one format optimization while outdoor environments receive another, allowing each local context to have its own optimized display parameters without redesigning the entire system.
Solution Approach 2:
The virtual object display format is made dynamic and adaptable rather than fixed. The system automatically adjusts format parameters based on real-time environment characteristics detected by the AR device, enabling seamless optimization across different contexts without manual intervention.
3Measurement precision
If the AR device performs text recognition on messages from ancillary devices, then virtual object generation accuracy improves, but processing time and energy consumption increase
Solution Approach 1:
The system performs preliminary text recognition and keyword extraction on messages before full virtual object generation. By pre-processing the text content and identifying key elements in advance, the system reduces the computational burden during the main object generation phase, thereby reducing overall processing time while maintaining accuracy.
Data Source
AI summary
Systems and methods are provided herein for detecting key words provided by ancillary devices and acquiring virtual objects based on the detected key words. This may be accomplished by a system displaying an augmented reality view to a user and detecting a received message. The system can determine whether a portion of the message corresponds to an augmented reality object. In response to detecting that the portion of the message corresponds to the augmented reality object, the system can display the augmented reality object in the augmented reality view in a first format. The first format can be based on the environment around the user.