Location Recognition Using Image Analysis and Sensor Fusion
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Solution Overview
Problem
Conventional information retrieval systems for augmented reality in personal electronic devices often provide users with long lists of locations that are not immediately visible, requiring significant user effort to find the desired location, and may not accurately determine the user's intended location, leading to inefficiencies and additional input requirements.
Innovation Solution
An electronic device captures images or videos of a location, using image analysis techniques and sensor data to recognize and present relevant information, with user behavior tracking to customize content and display format based on user preferences and historical interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional information retrieval systems provide a comprehensive list of all locations in the vicinity, then the completeness of location information is improved, but the time required for users to find the desired location increases significantly
Solution Approach 1:
The patent extracts and highlights only the most relevant location information (such as the nearest location or locations matching user criteria) from the complete set of available locations. Instead of displaying all locations, the system selectively presents a subset that is most likely to be of interest to the user, thereby maintaining information completeness while dramatically reducing search time.
Solution Approach 2:
The patent segments the comprehensive location list into hierarchical groups or categories (e.g., by distance, by type, by relevance). This segmentation allows users to quickly navigate to relevant categories rather than scrolling through an unstructured long list, thus preserving all location information while organizing it for efficient retrieval.
2Device complexity
If conventional systems present only a bare minimum of location information, then the device complexity is reduced, but the user effort required to access relevant information increases
Solution Approach 1:
The patent performs preliminary processing of location information by pre-filtering, pre-sorting, or pre-categorizing locations based on user profiles, historical behavior, and contextual data before presentation. This preliminary action ensures that when information is displayed, it is already optimized for the user's needs, reducing the effort required to find relevant information while maintaining appropriate levels of detail.
Solution Approach 2:
The patent implements adaptive information presentation that automatically adjusts the level of detail and type of information shown based on user interactions and preferences. The system serves itself by learning from user behavior to optimize information display, thereby reducing the need for users to manually configure display options while presenting appropriately tailored information.
3Measurement precision
If conventional devices require multiple trials and errors to accurately determine user-intended location, then the measurement precision is improved, but the time and user input requirements increase
Solution Approach 1:
The patent implements feedback mechanisms where the system presents location suggestions to the user and quickly adjusts based on user confirmation or correction. This feedback loop allows the system to learn from user responses and refine location determination accuracy rapidly, achieving high precision without requiring multiple separate trials or extensive user input.
Solution Approach 2:
The patent performs preliminary location determination using multiple data sources (GPS, Wi-Fi, cellular towers, image recognition) before presenting results to the user. By pre-processing location data from multiple sources and cross-referencing them, the system achieves high measurement precision in advance, reducing the need for iterative adjustments and minimizing the time required for accurate location determination.
Data Source
AI summary
An image or video of a location can be captured using an electronic device. A physical location associated with the image or video can be determined by analyzing the image data, and information about the physical location can be presented to a user of the electronic device. Images or video may include multiple locations, and information about each of the multiple locations can be presented to the user or a single location can be automatically determined and information about the single location can be displayed. Data from other sensors of the electronic device, such as GPS, digital compasses, accelerometers, gyroscopes, barometers, or altimeters, can also be acquired and combined with image analysis to determine a location. The information presented to the user regarding the recognized location may be based on user preferences or user behavior of the specific user of the electronic device, or a community of users who share demographic traits with the specific user.