Image-Based Item Recognition for Personalized Information Access
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Solution Overview
Problem
Users face difficulties in obtaining quick and personalized access to information about commercial items, leading to increased call volumes for inquiries that could be addressed through automated systems.
Innovation Solution
A computing system that recognizes commercial items from images and provides on-demand information links by accessing datasets and call/search history data, allowing users to access relevant information directly on their mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual text input is used to search for information about commercial items, then information can be obtained through existing search systems, but the process is time-consuming and requires user effort to accurately describe the item
Solution Approach 1:
The patent replaces the mechanical system of manual text input with an optical system (image capture device) that automatically captures and processes images of commercial items. The image processing system automatically extracts item characteristics and generates search queries, eliminating the need for users to manually type descriptions and significantly reducing the time and effort required to obtain information about commercial items.
2Adaptability or versatility
If generic search systems are used to find information about commercial items, then broad information can be retrieved, but the information is not personalized or targeted to specific user needs
Solution Approach 1:
The patent implements feedback mechanisms where the system analyzes user interactions with displayed information, tracks search patterns, and uses this data to refine and personalize future search results. The system learns from user behavior and adjusts the information provided to better match individual user preferences and needs, transforming generic search into personalized information delivery.
Solution Approach 2:
The system performs preliminary actions by pre-processing images, pre-extracting item characteristics, and pre-generating personalized search queries before the user even requests information. This preliminary processing ensures that when information is displayed, it is already tailored to the specific user and item, eliminating the need for subsequent filtering or refinement by the user.
3Productivity
If automated information systems are implemented to reduce call volumes, then efficiency improves, but the system complexity increases
Solution Approach 1:
The patent segments the automated information system into distinct functional modules: image capture device, image processing system, database system, and display system. Each module performs a specific function and can be independently developed, tested, and maintained. This segmentation reduces overall system complexity by breaking down the complex automated information system into manageable, modular components that work together to achieve high call handling efficiency.
Data Source
AI summary
A system may include a database that has a number of datasets regarding a number of commercial items. The system may also include a processor that may communicative couple to a mobile electronic device. The processor may receive an image of a commercial item from the mobile electronic device, determine an identity of the commercial item based on the image and the number of datasets in the database, and determine one or more information links relevant to the commercial item based on the identity. The one or more information links may display information regarding the commercial item. The processor may then send the one or more information links to a mobile electronic device. The mobile electronic device may then display the one or more information links with the image.