Context-Aware AR Tag Retrieval with Local-Remote Location Caching
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Solution Overview
Problem
Mobile devices face challenges in efficiently retrieving information from machine-readable tags due to limited resources and complex recognition methods, especially with low-quality images and complex tags, requiring additional pre-processing.
Innovation Solution
A method that combines local and remote storage to augment images by first querying local storage for matching tags and location, then remote storage if necessary, with data saved temporarily based on age, access frequency, or location proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex recognition methods are used to retrieve information from machine-readable tags, then information retrieval accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs pre-processing operations (distortion correction, blur reduction, skew correction) on captured images before tag recognition. By preparing the image in advance with these corrections, the recognition process can proceed more efficiently with standard algorithms, reducing the overall processing time while maintaining accuracy.
Solution Approach 2:
The patent divides the image processing task into distinct segments: initial image capture, pre-processing (distortion correction, blur reduction, skew correction), tag extraction, and information retrieval. This segmentation allows each step to be optimized independently, with pre-processing preparing the image for more efficient recognition in subsequent steps.
2Measurement precision
If pre-processing is applied to compensate for image quality issues, then tag recognition accuracy is improved, but computational resources and processing time increase
Solution Approach 1:
The patent applies selective pre-processing operations based on the specific image quality issues detected. Rather than applying all possible corrections uniformly, the system performs distortion correction, blur reduction, and skew correction only as needed to achieve sufficient recognition accuracy, avoiding unnecessary computational overhead.
3Loss of information
If mobile devices query both local and remote storage for tag information, then information completeness is improved, but communication requirements and processing time increase
Solution Approach 1:
The patent pre-loads and caches frequently accessed tag information into local storage on the mobile device. When a tag is scanned, the system first checks local storage for matching information, providing immediate results without requiring remote communication. This preliminary caching action reduces the need for subsequent remote queries.
Solution Approach 2:
The patent implements a two-tier storage query system that segments information retrieval into local storage lookup and remote storage query. The system first queries local storage for immediate results, and only queries remote storage when local information is insufficient or not found, dividing the retrieval process into efficient local and comprehensive remote stages.
Data Source
AI summary
A method for tag-based search includes capturing an image, extracting a tag from the image, identifying a location associated with the captured image, and querying stored content for information that matches the location and the tag. Local storage is checked for the information first, and remote storage may be checked subsequently. Any located information may be used to augment the image. Information located in the remote storage may be saved in the local storage until it reaches a certain age, until it fails to be accessed for a threshold period of time, or until the location moves outside a threshold radius associated with a location of the information located in the remote storage.