Space Object Search Sorting via Spatial Positioning
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Solution Overview
Problem
Conventional search technologies lack the ability to effectively search for and sort location-based objects using space positioning information, failing to provide relevant and timely results to users in a specific environment.
Innovation Solution
A method and system utilizing augmented reality and location-based search engines, where a mobile device captures real scene images, generates image and space information, and uploads it to a cloud system for processing, allowing for sorting of space objects based on user relevance, timeliness, and objective data to provide prioritized search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional text-based search is used, then search functionality is provided, but location-based objects cannot be effectively searched or sorted
Solution Approach 1:
The patent extends conventional text-based search into the spatial dimension by integrating GPS coordinates, altitude, and orientation data. The search system now operates in 3D space rather than just text space, allowing users to search for objects based on their physical location and device orientation, thereby resolving the contradiction between providing search functionality and achieving search accuracy for location-based objects.
Solution Approach 2:
The search system is enhanced to handle multiple types of search queries simultaneously - text-based searches, location-based searches, and spatial orientation searches. By making the search engine universal across different search modalities, it can effectively search for location-based objects while maintaining conventional text search capabilities, thus resolving the versatility-accuracy contradiction.
2Quantity of substance
If comprehensive search results are provided, then information completeness is improved, but sorting and relevance ranking becomes difficult
Solution Approach 1:
The patent applies different sorting criteria to different subsets of search results based on their spatial characteristics. Objects are sorted differently based on their distance from the user, their orientation relative to the device, and their relevance to the search query. This localized sorting approach allows comprehensive results to be presented while maintaining ease of operation through context-appropriate ranking.
Solution Approach 2:
The search results are segmented into different categories (e.g., nearby objects, distant objects, objects in different directions) and each segment is sorted according to its specific characteristics. This segmentation makes the sorting process more manageable and operationally efficient while still providing a comprehensive set of results across all segments.
3Measurement precision
If space positioning information is integrated, then location-based search accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary layer that handles the complex processing of spatial information. Rather than having the core search algorithm directly process raw GPS, orientation, and spatial data, a dedicated spatial processing module acts as an intermediary that converts these complex inputs into simplified search parameters. This maintains high location accuracy while managing system complexity through modular architecture.
4Reliability
If real-time sorting is performed, then result relevance is improved, but processing time increases
Solution Approach 1:
The system performs preliminary sorting and filtering of search results based on spatial criteria before the final results are presented to the user. By pre-processing the results using cached spatial indexes and pre-computed distance matrices, the system achieves real-time relevance without incurring significant processing delays during the actual search operation.
Data Source
AI summary
The disclosure is related to a method and a system for sorting a search result with multiple space objects. The method is operated in a mobile device, and firstly a photographing unit therein is activated to capture an image of a real scene. The system receives the image information and the space information of the mobile device. The system conducts a comparison search using the captured space information/image information against a database for generating a preliminary search result. The space objects in the search result are sorted for generating a ranking list. One of the ranking criteria is based on the relevance data of the user for determining high relevance space objects. The basis for ranking can be time, objective data, or a system weighted value associated with every object. Then the mobile device displays the highest ranked space object from the search result combined with the real scene.