Electronic Article Selection Using 3D Model Matching
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Solution Overview
Problem
Existing electronic devices for selecting articles via a unified network require manual input of bulk body descriptions and parameters, making the process inconvenient and prone to errors, as users must comprehend and input multiple parameters for accurate matching.
Innovation Solution
An electronic device with a module for automatically identifying the bulk body using its three-dimensional model and selecting matching articles from a database based on both correspondence and suitability, which includes a module for generating queries to narrow down selections and minimize user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of bulk body descriptions and parameters is used, then users can provide detailed information for article matching, but the process becomes inconvenient and prone to errors
Solution Approach 1:
The system automatically identifies the bulk body and extracts its parameters without requiring manual user input. The electronic device performs self-service by autonomously capturing images, generating three-dimensional models, and determining bulk body characteristics, thereby eliminating the need for users to manually enter descriptions and parameters.
Solution Approach 2:
The manual mechanical process of user input is replaced with an automated optical and computational system. The device uses image capture modules, three-dimensional modeling algorithms, and automatic recognition technology to substitute the manual input process, converting it from a user-driven mechanical action to an automated electronic process.
2Measurement precision
If multiple parameters are required for accurate matching, then article selection accuracy improves, but user input complexity increases
Solution Approach 1:
The system automatically determines multiple bulk body parameters including dimensions, shape characteristics, and material properties without requiring users to input each parameter separately. The electronic device self-generates the complete parameter set needed for accurate article matching through automated image analysis and three-dimensional modeling.
Solution Approach 2:
The system performs preliminary automatic identification and parameter extraction of the bulk body before the article matching process begins. By pre-processing the bulk body data through automated recognition and three-dimensional model generation, the system prepares all necessary parameters in advance, eliminating the need for users to sequentially input multiple parameters during the matching process.
3Extent of automation
If automatic identification of bulk body is implemented, then user input is reduced and errors are minimized, but automation complexity increases
Solution Approach 1:
The automatic identification system is divided into separate functional modules: an image capture module for acquiring bulk body images, a three-dimensional model generation module for creating spatial representations, and an automatic recognition module for identifying bulk body characteristics. This segmentation allows each module to perform its specific function independently, managing complexity through modular architecture.
Solution Approach 2:
The three-dimensional model serves as an intermediary between the captured images and the final bulk body identification. The system first generates a three-dimensional model from images, then uses this model as an intermediate representation to extract bulk body parameters, facilitating the automation process by providing a structured intermediate data format that simplifies subsequent recognition tasks.
Data Source
AI summary
The invention relates to a field of data processing, and more specifically to electronic devices for selecting articles, that includes a server adapted for connection, by means of a unified network, with user client devices, said server comprising interconnected elements including a module for the input of a plurality of images of articles; connected thereto a module for producing a three-dimensional model of articles; a module for the input of a plurality of images of a bulk body, with which the articles to be selected are compared; connected thereto a module for producing a three-dimensional model of the bulk body; a database of articles with three-dimensional models of the articles in question; a database of bulk bodies with three-dimensional models of the bulk bodies in question; connected to the databases a module for comparing, on the same scale, the three-dimensional model of the bulk body and the three-dimensional model of articles; and, connected thereto, a module for sending the results of the comparison to the user client devices. According to the invention, the electronic device comprises a module for identifying the bulk body according to the three-dimensional model of the bulk body, said module being connected to the module for producing the three-dimensional model of the bulk body and the database of bulk bodies with three-dimensional models of the bulk bodies in question. The electronic device also comprises a module for selecting from the database of articles with three-dimensional models of the articles in question those articles which match the bulk body inputted into the electronic device both in terms of the correspondence of the three-dimensional model and in terms of the suitability of the articles for use especially with the bulk body in question, said module being connected to the module for identifying the bulk body according to the three-dimensional model of the bulk body and to the module for sending the results of the comparison to the user client devices. The achieved technical result consists in an automatic selection of articles both in terms of the correspondence of the three-dimensional model and in terms of the suitability of the articles for use especially with the bulk body in question, which is the technical objective.