Object Identification System with Document Database Retrieval
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Solution Overview
Problem
Current object identification technologies primarily provide users with limited information, such as names and classifications, which are not sufficient for in-depth understanding, and often require additional, more accurate information available in documents like books or journals.
Innovation Solution
A method and system that acquires an image of an object, identifies it using a trained classification model, searches a document database for corresponding documents, and displays the object along with relevant information from those documents, allowing users to access detailed information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If object identification technology is used to provide basic information (names and classifications), then the identification process is simple and fast, but the information provided is insufficient for in-depth understanding
Solution Approach 1:
The patent introduces a document database as an intermediary component between the object identification module and the user. When an object is identified, the system automatically searches the document database for related documents (books, journals, articles) containing detailed information about the object, and presents these documents to the user. This mediator approach enables access to comprehensive information without requiring the identification system itself to store or process all the detailed data, thus resolving the contradiction between information completeness and system complexity.
2Loss of information
If only basic object information is provided, then the system remains simple and quick, but users cannot gain comprehensive knowledge about the object
Solution Approach 1:
The patent implements preliminary action by pre-organizing and storing extensive document materials (books, journals, articles) in a structured document database before they are needed. The database is预先 organized with documents categorized by object types, species, and topics. When an object is identified, the system can immediately search and retrieve relevant pre-organized documents without requiring users to manually search through libraries or databases, thus providing comprehensive knowledge while minimizing information retrieval time.
3Loss of information
If detailed document information is integrated into the identification system, then comprehensive knowledge is available, but the system becomes more complex
Solution Approach 1:
The patent applies segmentation by dividing the system into distinct functional modules: an object identification module that handles image recognition and basic object classification, a separate document database that stores comprehensive information materials, and a retrieval module that connects the two. Each module operates independently with clearly defined responsibilities. The identification module focuses solely on recognizing objects, while the document database manages all detailed information, and the retrieval module handles the coordination between them. This segmentation allows the system to provide comprehensive information accessibility while keeping each component relatively simple and manageable.
Data Source
AI summary
A method is disclosed. The method may include: acquiring an image including at least a part of an object; identifying the object based on the image; searching a document database for a document corresponding to the object; and displaying the object and information related to the document. A system is disclosed. The system may include: one or more memories configured to store a document database; one or more electronic devices configured to acquire an image including at least a part of an object; and one or more computing devices configured to identify the object based on the image, and search the document database for a document corresponding to the object, wherein the one or more electronic devices are further configured to display the object and information related to the document.