AR-Based Object Search Method for Accurate Query Retrieval
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Solution Overview
Problem
Current search methods rely solely on user-input keywords, leading to low search efficiency and inaccurate results if the keywords are not precise, resulting in a poor user experience.
Innovation Solution
The use of augmented reality (AR) technology to identify and acquire search information about a target object, which is then used to transmit a search request to a server, enabling the retrieval of accurate search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If keyword-based search is used, then search operation is simple, but search accuracy deteriorates when keywords are not precise
Solution Approach 1:
The patent replaces the manual keyword input mechanism with an automated AR recognition mechanism. The camera captures images of target objects, and the system automatically extracts visual features and generates search queries, substituting the mechanical keyboard input process with an optical recognition system that eliminates the need for manual keyword formulation.
Solution Approach 2:
The system enables self-service search by automatically capturing object images through the camera, extracting relevant visual features, and generating search queries without requiring user intervention for keyword input. The search system serves itself by autonomously completing the entire query formulation process based on captured visual data.
2Device complexity
If manual keyword input is required, then device complexity is low, but search efficiency deteriorates due to imprecise keywords
Solution Approach 1:
The patent replaces manual keyword input with automated AR recognition technology that captures object images, extracts visual features, and generates search queries automatically. This substitution significantly improves search efficiency by eliminating the time-consuming process of manual keyword formulation and selection.
Solution Approach 2:
The system performs preliminary actions by pre-extracting visual features from captured images and pre-generating potential search queries before the user even formulates a keyword. This preliminary processing of visual data accelerates the overall search process and improves efficiency.
Data Source
AI summary
Embodiments of the present disclosure provide a search method, a device, and a storage medium. The method includes: identifying, by an AR technology, a target object to be searched, and acquiring search information of the target object, transmitting a search request to a server according to the search information, receiving a search result of the target object returned by the server. The method provided in the embodiments can quickly obtain an accurate search result and improves user experience.