Image Analysis System for Product Suggestion
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Solution Overview
Problem
There is a lack of technology that effectively suggests product information to users based on image groups stored in online storage, and similarly, there is no method to suggest this information to product providers who can sell these products to users.
Innovation Solution
An information suggestion system that acquires image groups from multiple users, analyzes the imaging locations and objects within these images, counts and calculates the frequency of similar images, and then suggests relevant product information to product providers when certain conditions are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image groups from multiple users are analyzed to suggest product information, then the accuracy of product suggestions is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments the image analysis process into distinct functional units: image acquisition module, image analysis module (detecting imaging location and objects), imaging number counting module, and information suggestion module. This segmentation allows complex multi-user image data to be processed in manageable stages, improving suggestion accuracy while controlling system complexity through modular design.
Solution Approach 2:
The patent introduces an intermediary processing layer that aggregates imaging numbers and imaging frequencies across multiple users before generating product suggestions. This intermediary step transforms raw image data into meaningful statistical patterns, enabling accurate product recommendations without requiring the system to directly handle the full complexity of individual user image groups.
2Loss of information
If imaging numbers and frequencies are calculated across multiple users, then the relevance of product suggestions is improved, but the data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing imaging numbers and imaging frequencies for different image types across users. This pre-processing allows the system to quickly retrieve and utilize aggregated data when generating product suggestions, reducing real-time processing time while maintaining high relevance of recommendations.
Solution Approach 2:
The system implements self-service mechanisms where the image analysis and aggregation processes automatically update imaging statistics as new user images are added. This automated self-updating eliminates the need for manual data collection and processing, reducing time overhead while ensuring the suggestion system always works with current relevant data.
3Quantity of substance
If the system suggests product information to product providers based on image analysis, then the commercial value is improved, but the privacy concerns and data security requirements increase
Solution Approach 1:
The system extracts only the necessary aggregated information (imaging numbers, imaging frequencies, object categories, imaging locations) from user image data, separating this commercializable information from personal identifiers. This extraction approach enables the system to provide high commercial value to product providers while minimizing privacy risks by not handling or storing sensitive personal data.
Solution Approach 2:
The patent introduces an intermediary aggregation layer that processes user image data and outputs anonymized statistical information. This intermediary mechanism acts as a privacy buffer, allowing the system to capture commercial value from image analysis while preventing direct access to personal user data, thereby addressing privacy concerns without compromising commercial utility.
Data Source
AI summary
Provided are an information suggestion system, an information suggestion method, a program, and a recording medium capable of suggesting information of interest to many users to a product provider related to the information from an image group of a plurality of users.In the information suggestion system, the information suggestion method, the program, and the recording medium, an image group acquisition unit acquires an image group of a plurality of users, and an image analysis unit detects an imaging location of each image and an object appearing in each image. An imaging number count unit counts an imaging number of same-type images which are captured at the same imaging location and in which the same object appears, and an imaging frequency calculation unit calculates an imaging frequency of the same-type images. An information suggestion unit suggests same-type image information related to the same imaging location and the same object of the same-type image of which the imaging number and the imaging frequency satisfy a predetermined condition to a product provider related to the same-type image information.