Image Analysis Apparatus for Product-Consumer Attribute Association
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Solution Overview
Problem
Existing methods for analyzing images on social networking services to extract information about product relationships with consumer attributes are limited by low text association rates and language barriers, making it difficult to accumulate accurate data for market research and consumer behavior analysis.
Innovation Solution
An image analysis apparatus that identifies product images and acquires personal attribute information from images, storing and associating product identifiers with personal attribute values to accumulate relationships between products and consumer attributes, and optionally includes location type identification for further data accumulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If text analysis method is used to analyze images on SNS, then information extraction is possible, but the proportion of usable images is low and language barriers prevent accurate analysis
Solution Approach 1:
The patent replaces text-based analysis methods with image-based visual recognition. Instead of relying on text captions which have low association rates and language barriers, the system directly analyzes product images to identify products and extract consumer attribute information, thereby eliminating language barriers and improving accuracy.
Solution Approach 2:
The patent introduces an intermediary system that automatically extracts visual information from product images and associates it with consumer attributes. This intermediary process bridges the gap between image data and consumer insights, enabling accurate relationship identification without requiring text annotations.
2Quantity of substance
If image analysis method is used to analyze product images, then data accumulation from multiple images is enabled, but the complexity of analyzing and associating product and consumer information increases
Solution Approach 1:
The patent segments the image analysis process into distinct functional modules: product identification module, consumer attribute extraction module, and data accumulation module. Each module handles specific tasks independently, reducing overall system complexity while enabling comprehensive data accumulation from multiple images.
Solution Approach 2:
The patent creates a universal image analysis system that can process various types of product images and extract multiple types of information (product identification, consumer attributes, location data) from a single image input, thereby accumulating diverse data without proportionally increasing system complexity.
Data Source
AI summary
One or more pieces of product information each having a product identifier and specifying image information are stored in a product information storage unit. A product identifier acquiring unit detects, at least two images that are to be analyzed, that there are images of products corresponding to one or more pieces of product specifying image information, using the stored pieces of product specifying image information, and acquires one or more product identifiers corresponding to the images of the products. A personal attribute value acquiring unit acquires one or more personal attribute values from the least two images that are to be analyzed, and a personal attribute value-related information accumulating unit accumulates the one or more product identifiers acquired by the product identifier acquiring unit and personal attribute value-related information, in association with each other, the product identifiers and the personal attribute values being information acquired from a same image.