AR Object Attribute Comparison Engine
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Solution Overview
Problem
Conventional augmented reality (AR) systems fail to effectively compare attributes of multiple objects in real-time, overwhelming users with excessive information and lacking the ability to dynamically present relevant comparisons, which hampers user experience and resource efficiency.
Innovation Solution
A system that utilizes AI engines and object recognition technologies to identify and compare attributes of objects in real-time, allowing users to select specific criteria for comparison through verbal instructions or gestures, and overlays relevant information from databases or inferences, using AR/VR interfaces to present comparisons in a user-friendly manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional AR systems present all object attributes simultaneously, then users can access comprehensive information, but users experience information overload and processing efficiency decreases
Solution Approach 1:
The patent segments object attributes into multiple categories (e.g., basic attributes, detailed attributes, comparative attributes) and presents them in hierarchical layers. Users can selectively access different attribute categories based on their needs, preventing information overload while maintaining comprehensive information availability. The comparison interface divides attributes into similar and dissimilar categories for focused analysis.
Solution Approach 2:
The AR system dynamically adjusts the presentation of object attributes based on user interactions, selection criteria, and comparison needs. Attributes are loaded and displayed on-demand rather than all at once, with the system adapting the information flow to user preferences and task requirements, thereby improving ease of operation.
2Reliability
If conventional AR systems display all comparison criteria, then complete comparison is achieved, but processing resources are overwhelmed and efficiency drops
Solution Approach 1:
The system extracts only the most relevant comparison attributes based on user selection and object similarity, separating essential comparison data from extraneous information. This extraction process reduces processing load while maintaining comparison accuracy by focusing computational resources on key attributes.
Solution Approach 2:
The system changes the parameter set for comparison dynamically, adjusting which attributes are compared based on object types, user preferences, and similarity metrics. This adaptive parameter selection optimizes processing efficiency by avoiding unnecessary comparisons while ensuring reliable comparison of relevant attributes.
3Loss of information
If the system processes all object attributes in real-time, then comprehensive comparison is provided, but resource consumption increases and response time decreases
Solution Approach 1:
The system performs preliminary processing by pre-categorizing object attributes and pre-identifying potential comparison candidates based on basic features. This preliminary action reduces the computational burden during real-time comparison, as the system only needs to process pre-filtered and organized attribute data, maintaining completeness while reducing resource consumption.
Solution Approach 2:
The system implements partial processing by focusing computational resources on the most relevant attributes and comparison aspects identified through user input and object analysis. Rather than processing all attributes equally, the system applies excessive action only where necessary (user-selected criteria) and partial action to less critical attributes, optimizing the energy-completeness tradeoff.
Data Source
AI summary
Described herein are systems and methods for generating AR-enriched media feeds for comparing attributes of objects. A user operates an AR device to collect or extract object information in a media feed including a current object. The AR device identifies a comparison object using attributes of the current baseline object. After the comparison object has been identified, the AR device generates and presents an AR overlay in the graphical user interface that shows the selected attribute of the comparison object nearby or on top of the attribute of the current object in the real time media feed containing the current object.